| Institute for Mathematics and its Applications University of Minnesota 114 Lind Hall 207 Church Street SE Minneapolis, MN 55455 |
2009-2010 Program
See http://www.ima.umn.edu/2009-2010/ for a full description of the 2009-2010 program on Complex Fluids and Complex Flows.
| 8:15am-9:15am | Registration and refreshments bagels and cream cheese | EE/CS 3-176 | W6.1-5.10 | |
| 9:15am-9:30am | Welcome to the IMA | Fadil Santosa (University of Minnesota) | EE/CS 3-180 | W6.1-5.10 |
| 9:30am-9:45am | Welcome/last-minute announcements | Stephen Childress (New York University) | EE/CS 3-180 | W6.1-5.10 |
| 9:45am-10:30am | Subtleties in nature’s simplest form of locomotion: jet propulsion in squids and scallops | Mark Denny (Stanford University) | EE/CS 3-180 | W6.1-5.10 |
| 10:30am-11:00am | Coffee | EE/CS 3-176 | W6.1-5.10 | |
| 11:00am-11:45am | Symmetry-breaking in small-scale locomotion: Synchronization and efficiency optimization | Eric Lauga (University of California, San Diego) | EE/CS 3-180 | W6.1-5.10 |
| 11:45am-1:00pm | Lunch Lunch Tutorial (starts at 1:00, lunch not provided) | EE/CS 3-180 | W6.1-5.10 | |
| 1:00pm-2:15pm | Tutorial: Introduction to locomotion at low and intermediate Reynolds numbers | Stephen Childress (New York University) | EE/CS 3-180 | W6.1-5.10 |
| 2:15pm-3:00pm | From individual to collective swimming dynamics of bacillus subtilis | Luis H. Cisneros (University of Arizona) | EE/CS 3-180 | W6.1-5.10 |
| 3:00pm-3:30pm | Coffee | EE/CS 3-176 | W6.1-5.10 | |
| 3:30pm-4:15pm | Idealized modeling of planar fishlike swimming for motion control | Scott David Kelly (University of North Carolina - Charlotte) | EE/CS 3-180 | W6.1-5.10 |
| 4:15pm-4:45pm | Group Photo | W6.1-5.10 |
| 8:30am-9:00am | Coffee fruit and yogurt | EE/CS 3-176 | W6.1-5.10 | |
| 9:00am-9:45am | Poster Sound Bites | Gordon Joseph Berman (Princeton University) Kenny Breuer (Brown University) Randy H. Ewoldt (University of Minnesota) Hermes Gadêlha (University of Oxford) Jifeng Hu (University of Minnesota) Pieter Jan Antoon Janssen (University of Wisconsin) Arshad Kudrolli (Clark University) Amy Lang (University of Alabama) Ronald G. Larson (University of Michigan) Enkeleida Lushi (New York University) Hassan Masoud (Georgia Institute of Technology) Hoa Nguyen (Tulane University) Clara O'Farrell (California Institute of Technology) Sarah Olson (Tulane University) | EE/CS 3-180 | W6.1-5.10 |
| 9:45am-10:30am | Tradeoffs between swimming and feeding: The curious case of the upside down jellyfish | Laura Ann Miller (University of North Carolina) | EE/CS 3-180 | W6.1-5.10 |
| 10:30am-11:00am | Coffee | EE/CS 3-176 | W6.1-5.10 | |
| 11:00am-11:45am | How flying insects keep stable, up-right, and on-course | Leif Gibbens Ristroph (Cornell University) | EE/CS 3-180 | W6.1-5.10 |
| 11:45am-1:00pm | Lunch Lunch Tutorial (starts at 1:00, lunch not provided) | EE/CS 3-180 | W6.1-5.10 | |
| 1:00pm-2:15pm | Tutorial: Introduction to insect flight | Jane Wang (Cornell University) | EE/CS 3-180 | W6.1-5.10 |
| 2:15pm-3:00pm | Algorithms for nonlinear analysis, optimization, and control of locomotion | Russ Tedrake (Massachusetts Institute of Technology) | EE/CS 3-180 | W6.1-5.10 |
| 3:00pm-3:30pm | Coffee | EE/CS 3-176 | W6.1-5.10 | |
| 3:30pm-4:15pm | Using vortices for locomotion | John O. Dabiri (California Institute of Technology) | EE/CS 3-180 | W6.1-5.10 |
| 4:15pm-5:15pm | 12-Minute Contributed Talks | EE/CS 3-180 | W6.1-5.10 | |
| Numerical simulations of a free squirmer in a viscoelastic fluid | Luca Brandt (Royal Institute of Technology (KTH)) | |||
| Low-Reynolds-number swimming near walls and free surfaces | Darren G. Crowdy (Imperial College London) | |||
| Transport in suspensions of swimming organisms | Michael D. Graham (University of Wisconsin) | |||
| Paramecium swimming near a wall | Sunghwan (Sunny) Jung (Virginia Polytechnic Institute and State University) |
| 8:30am-9:00am | Coffee bagels and cream cheese | EE/CS 3-176 | W6.1-5.10 | |
| 9:00am-9:45am | Poster Sound Bites | Acmae El Yacoubi (Cornell University) Daniel Ivan Goldman (Georgia Institute of Technology) Zhi (George) Lin (University of Minnesota) Yizhar Or (Technion-Israel Institute of Technology) Neelesh A. Patankar (Northwestern University) Jifeng Peng (University of Alaska) Henry Shum (University of Oxford) Saverio Eric Spagnolie (University of California, San Diego) Wanda Strychalski (University of California, Davis) Susan S. Suarez (Cornell University) Daniel See-Wai Tam (Massachusetts Institute of Technology) Sheng Xu (Southern Methodist University) Jeannette Yen (Georgia Institute of Technology) | EE/CS 3-180 | W6.1-5.10 |
| 9:45am-10:30am | Effects of ambient water flow on locomotion | Mimi Koehl (University of California, Berkeley) | EE/CS 3-180 | W6.1-5.10 |
| 10:30am-11:00am | Coffee | EE/CS 3-176 | W6.1-5.10 | |
| 11:00am-11:45am | Emergence of coherent structures and large-scale flows in biologically active suspensions | David Saintillan (University of Illinois at Urbana-Champaign) | EE/CS 3-180 | W6.1-5.10 |
| 11:45am-1:00pm | Lunch Lunch Tutorial (starts at 1:00, lunch not provided) | EE/CS 3-180 | W6.1-5.10 | |
| 1:00pm-2:15pm | Tutorial: Introduction to fish locomotion | William W. Schultz (University of Michigan) | EE/CS 3-180 | W6.1-5.10 |
| 2:15pm-3:15pm | 12-Minute Contributed Talks | EE/CS 3-180 | W6.1-5.10 | |
| A unified framework for inviscid and viscous simulations of biolocomotion | Jeff D. Eldredge (University of California, Los Angeles) | |||
| Experimental studies to reveal the boundary layer control mechanisms of shark skin | Amy Lang (University of Alabama) | |||
| Leading-edge vortices elevate lift of autorotating plant seeds | David Lentink (Wageningen University and Research Center) | |||
| 3:15pm-3:30pm | Coffee | EE/CS 3-176 | W6.1-5.10 | |
| 3:30pm-4:15pm | Optimal coordinate choice for locomoting systems | Howie Choset (Carnegie Mellon University) | EE/CS 3-180 | W6.1-5.10 |
| 4:15pm-6:15pm | Poster Session and Reception Poster submissions welcome from all participants Instructions | Lind Hall 400 | W6.1-5.10 | |
| Reconstructing the behavior of terrestrial fruit flies | Gordon Joseph Berman (Princeton University) | |||
| Synchronization of flagella and cilia through hydrodynamic interactions | Kenny Breuer (Brown University) | |||
| A kinetic theory for suspensions of micoswimmers | Zhenlu Cui (Fayetteville State University) | |||
| Computational study of the interaction of free moving particles at intermediate Reynolds numbers | Acmae El Yacoubi (Cornell University) | |||
| Helicobacter pylori (stomach bacterium) moves through mucus by reducing mucin viscoelasticity | Randy H. Ewoldt (University of Minnesota) | |||
| Nonlinear instability in flagellar dynamics: a novel modulation mechanism in sperm migration? | Hermes Gadêlha (University of Oxford) | |||
| Sensitive dependence of the motion of a legged robot on sand | Daniel Ivan Goldman (Georgia Institute of Technology) | |||
| Inertial corrections to Darcy’s law for Hele-Shaw flows | Andong He (Pennsylvania State University) | |||
| Low Reynolds number swimming models of cell blebbing | Jifeng Hu (University of Minnesota) Qixuan Wang (University of Minnesota) | |||
| Flagellar bundling | Pieter Jan Antoon Janssen (University of Wisconsin) | |||
| Collective diffusion of self-propelled rods | Arshad Kudrolli (Clark University) | |||
| Experimental studies to reveal the boundary layer control mechanisms of shark skin | Amy Lang (University of Alabama) | |||
| Swimming dynamics of a run-and-tumble bacterium with helical flagella | Ronald G. Larson (University of Michigan) | |||
| A hydrodynamic model of biogenic mixing | Zhi (George) Lin (University of Minnesota) | |||
| The turning-particle chemotaxis model in suspensions of micro-swimmers | Enkeleida Lushi (New York University) | |||
| Low Reynolds number aerodynamics of flexible flapping wings at resonance | Hassan Masoud (Georgia Institute of Technology) | |||
| Fluid dynamics of phytoplankton with spines in linear shear flow | Hoa Nguyen (Tulane University) | |||
| Lagrangian coherent structures in the wake on an anguilliform swimmer | Clara O'Farrell (California Institute of Technology) | |||
| An integrative model of sperm motility | Sarah Olson (Tulane University) | |||
| Dynamic and stability of low-Reynolds-number swimming near a wall | Yizhar Or (Technion-Israel Institute of Technology) | |||
| Drag-thrust decomposition and optimality in swimming | Neelesh A. Patankar (Northwestern University) | |||
| How does muscle forcing lead to translational motion during undulatory swimming? | Neelesh A. Patankar (Northwestern University) | |||
| A vortex sheet model of jellyfish swimming | Jifeng Peng (University of Alaska) | |||
| Fruit flies modulate passive wing pitching to generate in-flight turns | Leif Gibbens Ristroph (Cornell University) | |||
| Instability regimes in flowing suspensions of swimming micro-organisms | David Saintillan (University of Illinois at Urbana-Champaign) | |||
| Shear induced three-dimensional swimming characteristics of Dunaliella Primolecta in a microfluidic channel | Jian Sheng (University of Minnesota) | |||
| Hydrodynamic surface interactions of Escherichia coli at high concentration | Jian Sheng (University of Minnesota) | |||
| A boundary element approach to bacteria approaching boundaries | Henry Shum (University of Oxford) | |||
| Swimming at low and intermediate Reynolds number | Saverio Eric Spagnolie (University of California, San Diego) | |||
| A computational model of bleb formation | Wanda Strychalski (University of California, Davis) | |||
| Distinct Ca2+ signaling pathways turn mouse sperm in opposite directions | Susan S. Suarez (Cornell University) | |||
| Dynamics of passive flexible wings | Daniel See-Wai Tam (Massachusetts Institute of Technology) | |||
| Coupling the Newton dynamics and aerodynamics of insect flight in the immersed interface method | Sheng Xu (Southern Methodist University) | |||
| Kinematics of various swimming modes in Antarctic krill | Jeannette Yen (Georgia Institute of Technology) |
| 8:30am-9:00am | Coffee fruit and yogurt | EE/CS 3-176 | W6.1-5.10 | |
| 9:00am-9:15am | The wet-dog shake | David Hu (Georgia Institute of Technology) | EE/CS 3-180 | W6.1-5.10 |
| 9:15am-9:30am | Aspects of human sperm motility: Observation and theory | Eamonn Andrew Gaffney (University of Oxford) | EE/CS 3-180 | W6.1-5.10 |
| 9:30am-9:45am | Controllability by the shape of a low Reynolds number swimmer | Marius Tucsnak (Université de Nancy I (Henri Poincaré)) | EE/CS 3-180 | W6.1-5.10 |
| 9:45am-10:30am | Living in a turbulent world: Interactions between fishes and eddies | Aline J. Cotel (University of Michigan) Paul W. Webb (University of Michigan) | EE/CS 3-180 | W6.1-5.10 |
| 10:30am-11:00am | Coffee | EE/CS 3-176 | W6.1-5.10 | |
| 11:00am-11:45am | Lamprey locomotion: An integrative muscle mechanics - fluid dynamics model | Lisa J. Fauci (Tulane University) | EE/CS 3-180 | W6.1-5.10 |
| 11:45am-2:15pm | Lunch | W6.1-5.10 | ||
| 2:15pm-3:00pm | 12-Minute Contributed Talks | EE/CS 3-180 | W6.1-5.10 | |
| The balance between drag and thrust in undulatory propulsion and implications on balistiform and gymnotiform locomotion | Neelesh A. Patankar (Northwestern University) | |||
| Unsolved problems in the locomotion of mammalian sperm | Susan S. Suarez (Cornell University) | |||
| Performance of ray fins in fish locomotion | Qiang Zhu (University of California, San Diego) | |||
| 3:00pm-3:30pm | Coffee | EE/CS 3-176 | W6.1-5.10 | |
| 3:30pm-4:15pm | Snakes crawling and worms pushing on surfaces | Michael J. Shelley (New York University) | EE/CS 3-180 | W6.1-5.10 |
| 4:15pm-5:00pm | Panel Discussion/Lively Debate | EE/CS 3-180 | W6.1-5.10 | |
| 6:30pm-8:30pm | Workshop dinner at Caspian Bistro | Caspian Bistro 2418 University Ave SE Minneapolis, MN 55414 612-623-1133 |
W6.1-5.10 |
| 8:30am-9:00am | Coffee bagels and cream cheese | EE/CS 3-176 | W6.1-5.10 | |
| 9:00am-9:45am | Swimming and flapping in vortex wakes | Silas Alben (Georgia Institute of Technology) | EE/CS 3-180 | W6.1-5.10 |
| 9:45am-10:30am | Winged aquatic locomotion for high energetic efficiency through vortex control | Frank E. Fish (West Chester University) | EE/CS 3-180 | W6.1-5.10 |
| 10:30am-11:00am | Coffee | EE/CS 3-176 | W6.1-5.10 | |
| 11:00am-12:00pm | 12-Minute Contributed Talks | EE/CS 3-180 | W6.1-5.10 | |
| Experiments and models reveal principles of locomotion of the sand-swimming sandfish lizard | Daniel Ivan Goldman (Georgia Institute of Technology) | |||
| Stability of active suspensions | Christel Hohenegger (New York University) | |||
| Passive locomotion in unsteady flows | Eva Kanso (University of Southern California) | |||
| Jet propulsion without inertia | Saverio Eric Spagnolie (University of California, San Diego) | |||
| 12:00pm-12:15pm | Closing remarks | EE/CS 3-180 | W6.1-5.10 |
| 8:15am-8:45am | Registration and coffee | Lind Hall 400 | ND6.7-18.10 | |
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 8:45am-9:00am | Welcome to the IMA | Fadil Santosa (University of Minnesota) | Lind Hall 305 | ND6.7-18.10 |
| 9:00am-10:00am | Contemporary asymptotic methods | Robert Burridge (Massachusetts Institute of Technology) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 9:00am-10:30am | Monge-Kantorovich optimal transport problem | Guillaume Carlier (Université de Paris-Dauphine) | Lind Hall 305 | ND6.7-18.10 |
| 10:00am-10:15am | Break | PISG6.7-25.10 | ||
| 10:15am-11:15am | Contemporary asymptotic methods (continued) | Robert Burridge (Massachusetts Institute of Technology) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:30am-11:00am | Coffee break | Lind Hall 400 | ND6.7-18.10 | |
| 11:00am-12:30pm | Energy and emissions markets, and the existing cap-and-trade schemes | Rene Carmona (Princeton University) | Lind Hall 305 | ND6.7-18.10 |
| 11:15am-11:30am | Break | PISG6.7-25.10 | ||
| 11:30am-12:30pm | Dis/Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 12:30pm-2:00pm | Lunch | ND6.7-18.10 | ||
| 2:00pm-3:30pm | Simulations of realistic EU ETS models joint work with U. Cetin & P. Barrieu (London School of Economics) | Max Fehr (London School of Economics and Political Science) | Lind Hall 305 | ND6.7-18.10 |
| 2:00pm-3:00pm | Contemporary asymptotic methods | Jianliang Qian (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 3:00pm-3:15pm | Break | PISG6.7-25.10 | ||
| 3:15pm-4:15pm | Lec/Lab/Dis | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 3:30pm-3:40pm | Group photo | ND6.7-18.10 | ||
| 4:15pm-5:00pm | Office Hours | PISG6.7-25.10 |
| 8:30am-9:00am | Coffee | Lind Hall 400 | ND6.7-18.10 | |
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Contemporary asymptotic methods (continued) | Robert Burridge (Massachusetts Institute of Technology) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 9:00am-10:30am | Strictly convex transportation costs | Guillaume Carlier (Université de Paris-Dauphine) | Lind Hall 305 | ND6.7-18.10 |
| 10:00am-10:15am | Break | PISG6.7-25.10 | ||
| 10:15am-11:15am | Contemporary asymptotic methods (continued) | Robert Burridge (Massachusetts Institute of Technology) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:30am-11:00am | Coffee break | Lind Hall 400 | ND6.7-18.10 | |
| 11:00am-12:30pm | Discrete time competitive equilibrium models for cap-and-trade schemes and the carbon tax | Rene Carmona (Princeton University) | Lind Hall 305 | ND6.7-18.10 |
| 11:15am-11:30am | Break | PISG6.7-25.10 | ||
| 11:30am-12:30pm | Dis/Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 12:30pm-2:00pm | Lunch | ND6.7-18.10 | ||
| 2:00pm-3:00pm | Contemporary asymptotic methods (continued) | Jianliang Qian (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 2:00pm-3:30pm | Implementation of a simple model: first example | Rene Carmona (Princeton University) Max Fehr (London School of Economics and Political Science) | Lind Hall 305 | ND6.7-18.10 |
| 3:00pm-3:15pm | Break | PISG6.7-25.10 | ||
| 3:15pm-4:15pm | Lec/Lab/Dis | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 4:15pm-5:00pm | Office Hours | PISG6.7-25.10 | ||
| 6:30pm-8:30am | Dinner | TBA | PISG6.7-25.10 |
| 8:30am-9:00am | Coffee | Lind Hall 400 | ND6.7-18.10 | |
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Contemporary asymptotic methods (continued) | Robert Burridge (Massachusetts Institute of Technology) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 9:00am-10:30am | The case cost=distance | Guillaume Carlier (Université de Paris-Dauphine) | Lind Hall 305 | ND6.7-18.10 |
| 10:00am-10:15am | Break | PISG6.7-25.10 | ||
| 10:15am-11:15am | Contemporary asymptotic methods (continued) | Robert Burridge (Massachusetts Institute of Technology) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:30am-11:00am | Coffee break | Lind Hall 400 | ND6.7-18.10 | |
| 11:00am-12:30pm | Mathematical models for allocation mechanisms and cost distribution | Rene Carmona (Princeton University) | Lind Hall 305 | ND6.7-18.10 |
| 11:15am-11:30am | Break | PISG6.7-25.10 | ||
| 11:30am-12:30pm | Dis/Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 12:30pm-2:00pm | Lunch | ND6.7-18.10 | ||
| 2:00pm-3:00pm | Contemporary asymptotic methods (continued) | Jianliang Qian (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 2:00pm-3:30pm | Implementation of a simple model: second example | Rene Carmona (Princeton University) Max Fehr (London School of Economics and Political Science) | Lind Hall 305 | ND6.7-18.10 |
| 3:00pm-3:15pm | Break | PISG6.7-25.10 | ||
| 3:15pm-4:15pm | Lec/Lab/Dis | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 4:15pm-5:00pm | Office Hours | PISG6.7-25.10 |
| 8:30am-9:00am | Coffee | Lind Hall 400 | ND6.7-18.10 | |
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Contemporary asymptotic methods (continued) | Robert Burridge (Massachusetts Institute of Technology) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 9:00am-10:30am | Economic applications of optimal transport | Guillaume Carlier (Université de Paris-Dauphine) | Lind Hall 305 | ND6.7-18.10 |
| 10:00am-10:15am | Break | PISG6.7-25.10 | ||
| 10:15am-11:15am | Contemporary asymptotic methods (continued) | Robert Burridge (Massachusetts Institute of Technology) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:30am-11:00am | Coffee break | Lind Hall 400 | ND6.7-18.10 | |
| 11:00am-12:30pm | Discrete time competitive equilibrium models for cap-and-trade schemes and the clean development mechanism | Rene Carmona (Princeton University) | Lind Hall 305 | ND6.7-18.10 |
| 11:15am-11:30am | Break | PISG6.7-25.10 | ||
| 11:30am-12:30pm | Dis/Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 12:30pm-2:00pm | Lunch | ND6.7-18.10 | ||
| 2:00pm-3:00pm | Contemporary asymptotic methods (continued) | Jianliang Qian (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 2:00pm-3:30pm | Non-constant discount rates, time inconsistency, and the golden rule | Ivar Ekeland (University of British Columbia) | Lind Hall 305 | ND6.7-18.10 |
| 3:00pm-3:15pm | Break | PISG6.7-25.10 | ||
| 3:15pm-4:15pm | Lec/Lab/Dis | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 4:15pm-5:00pm | Office Hours | PISG6.7-25.10 | ||
| 5:00pm-6:00pm | Afternoon games (tentative) | PISG6.7-25.10 |
| 8:30am-9:00am | Coffee | Lind Hall 400 | ND6.7-18.10 | |
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Contemporary asymptotic methods (continued) | Robert Burridge (Massachusetts Institute of Technology) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 9:00am-10:30am | Congested transport | Guillaume Carlier (Université de Paris-Dauphine) | Lind Hall 305 | ND6.7-18.10 |
| 10:00am-10:15am | Break | PISG6.7-25.10 | ||
| 10:15am-11:15am | Contemporary asymptotic methods (continued) | Robert Burridge (Massachusetts Institute of Technology) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:30am-11:00am | Coffee break | Lind Hall 400 | ND6.7-18.10 | |
| 11:00am-12:30pm | Stochastic optimization and first continuous time models of cap-and-trade schemes | Rene Carmona (Princeton University) | Lind Hall 305 | ND6.7-18.10 |
| 11:15am-11:30am | Break | PISG6.7-25.10 | ||
| 11:30am-12:30pm | Dis/Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 12:30pm-2:00pm | Lunch | ND6.7-18.10 | ||
| 2:00pm-3:00pm | Contemporary asymptotic methods (continued) | Jianliang Qian (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 2:00pm-3:30pm | The Merton problem with hyperbolic discounting | Ivar Ekeland (University of British Columbia) | Lind Hall 305 | ND6.7-18.10 |
| 3:00pm-3:15pm | Break | PISG6.7-25.10 | ||
| 3:15pm-4:15pm | Lec/Lab/Dis | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 4:15pm-5:00pm | Office Hours | PISG6.7-25.10 |
| All Day | No scheduled activity | PISG6.7-25.10 | ||
| All Day | No scheduled activity. | ND6.7-18.10 |
| All Day | No scheduled activity | PISG6.7-25.10 | ||
| All Day | No scheduled activity. | ND6.7-18.10 |
| 8:30am-9:00am | Coffee | Lind Hall 400 | ND6.7-18.10 | |
| 8:30am-9:00am | Registration and coffee | Lind Hall 400 | SW6.14-7.16.10 | |
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-9:15am | Welcome to the IMA | Fadil Santosa (University of Minnesota) | Lind Hall 409 | SW6.14-7.16.10 |
| 9:00am-10:00am | Numerics for full waves | Jean-Claude Nédélec (École Polytechnique) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 9:00am-10:30am | Binary martingales and option pricing: 1) Reduced form models; 2) Perturbation methods | Rene Carmona (Princeton University) | Lind Hall 305 | ND6.7-18.10 |
| 9:15am-9:55am | Intro to Project 1: Pursuit-evasion games with multiple pursuers (all groups) | Volkan Isler (University of Minnesota) | Lind Hall 409 | SW6.14-7.16.10 |
| 9:55am-10:35am | Intro to Project 2: Long-wave models for elastohydrodynamic instabilities (all groups) | Daniel Flath (Macalester College) | Lind Hall 409 | SW6.14-7.16.10 |
| 10:00am-10:15am | Break | PISG6.7-25.10 | ||
| 10:15am-11:15am | Numerics for full waves (continued) | Jean-Claude Nédélec (École Polytechnique) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:30am-11:00am | Coffee break | Lind Hall 400 | ND6.7-18.10 | |
| 10:35am-11:00am | Break | Lind Hall 400 | SW6.14-7.16.10 | |
| 11:00am-11:40am | Intro to Project 3: Hybrid linear modeling (all groups) | Gilad Lerman (University of Minnesota) | Lind Hall 409 | SW6.14-7.16.10 |
| 11:00am-12:30pm | Stochastic target problems and viscosity solutions | Nizar Touzi (École Polytechnique) | Lind Hall 305 | ND6.7-18.10 |
| 11:15am-11:30am | Break | PISG6.7-25.10 | ||
| 11:30am-12:30pm | Dis/Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 11:40am-12:00pm | Announcements | Lind Hall 409 | SW6.14-7.16.10 | |
| 12:00pm-1:00pm | Lunch at the IMA, getting acquainted | SW6.14-7.16.10 | ||
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 12:30pm-3:30pm | Lunch | ND6.7-18.10 | ||
| 1:00pm-4:00pm | Groups meet separately with faculty advisors and mentors | Lind Hall 400 | SW6.14-7.16.10 | |
| 2:00pm-3:00pm | Numerics for full waves (continued) | Jean-Claude Nédélec (École Polytechnique) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 3:00pm-3:15pm | Break | PISG6.7-25.10 | ||
| 3:15pm-4:15pm | Lec/Lab/Dis | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 3:30pm-5:00pm | Martingale representation theorem for the G-expectation | Jianfeng Zhang (University of Southern California) | Lind Hall 305 | ND6.7-18.10 |
| 4:15pm-5:00pm | Office Hours | PISG6.7-25.10 |
| All Day | Work all day on projects. Lind Hall 400 | SW6.14-7.16.10 | ||
| 8:30am-9:00am | Coffee | Lind Hall 400 | ND6.7-18.10 | |
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Numerics for full waves | Gang Bao (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 9:00am-10:30am | Second order stochastic target problems | Nizar Touzi (École Polytechnique) | Lind Hall 305 | ND6.7-18.10 |
| 10:00am-10:15am | Break | PISG6.7-25.10 | ||
| 10:15am-11:15am | Numerics for full waves (continued) | Gang Bao (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:30am-11:00am | Coffee break | Lind Hall 400 | ND6.7-18.10 | |
| 11:00am-12:30pm | Singular BSDEs appearing in cap-and-trade models | Rene Carmona (Princeton University) | Lind Hall 305 | ND6.7-18.10 |
| 11:15am-11:30am | Break | PISG6.7-25.10 | ||
| 11:30am-12:30pm | Dis/Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 12:30pm-3:30pm | Lunch | ND6.7-18.10 | ||
| 2:00pm-3:00pm | Numerics for full waves (continued) | Jean-Claude Nédélec (École Polytechnique) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 2:30pm-3:30pm | Strict local martingale deflators and pricing American call-type options | Erhan Bayraktar (University of Michigan) | Lind Hall 305 | ND6.7-18.10 |
| 3:00pm-3:15pm | Break | PISG6.7-25.10 | ||
| 3:15pm-4:15pm | Lec/Lab/Dis | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 3:30pm-5:00pm | Dynamic oligopolies and differential games. I | Ronnie Sircar (Princeton University) | Lind Hall 305 | ND6.7-18.10 |
| 4:15pm-5:00pm | Office Hours | PISG6.7-25.10 |
| All Day | Work on projects. Lind Hall 400 | Lind Hall 400 | SW6.14-7.16.10 | |
| 8:30am-9:00am | Coffee | Lind Hall 400 | ND6.7-18.10 | |
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Numerics for full waves (continued) | Jean-Claude Nédélec (École Polytechnique) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 9:00am-10:30am | Backward stochastic differential equations and connection with semilinear PDEs | Nizar Touzi (École Polytechnique) | Lind Hall 305 | ND6.7-18.10 |
| 10:00am-10:15am | Break | PISG6.7-25.10 | ||
| 10:15am-11:15am | Numerics for full waves (continued) | Jean-Claude Nédélec (École Polytechnique) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:30am-11:00am | Coffee break | Lind Hall 400 | ND6.7-18.10 | |
| 11:00am-12:30pm | Game theory, Nash equilibrium, and electricity prices with strategic market players | Rene Carmona (Princeton University) | Lind Hall 305 | ND6.7-18.10 |
| 11:15am-11:30am | Break | PISG6.7-25.10 | ||
| 11:30am-12:30pm | Dis/Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 12:30pm-3:30pm | Lunch | ND6.7-18.10 | ||
| 2:00pm-3:00pm | Numerics for full waves (continued) | Gang Bao (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 2:30pm-3:30pm | Evaluating regulatory strategies for emmision abatement - An engineering approach | Steven Bleiler (Portland State University) | Lind Hall 305 | ND6.7-18.10 |
| 3:00pm-3:15pm | Break | PISG6.7-25.10 | ||
| 3:00pm-4:00pm | Seminar - Modeling swarms | Chad Michael Topaz (Macalester College) | Lind Hall 409 | SW6.14-7.16.10 |
| 3:15pm-4:15pm | Lec/Lab/Dis | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 3:30pm-5:00pm | Optimal switching problems and applications in energy finance | Michael Ludkovski (University of California, Santa Barbara) | Lind Hall 305 | ND6.7-18.10 |
| 4:15pm-5:00pm | Office Hours | PISG6.7-25.10 | ||
| 6:30pm-8:30pm | Group dinner at Kafe 421 | Kafe 421 421 14th Avenue SE Minneapolis, MN 55414 612-623-4900 |
ND6.7-18.10 |
| All Day | Work on projects. Lind Hall 400 | SW6.14-7.16.10 | ||
| 8:30am-9:00am | Coffee | Lind Hall 400 | ND6.7-18.10 | |
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Numerics for full waves (continued) | Gang Bao (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 9:00am-10:30am | Second order backward stochastic differential equations and connection with fully nonlinear PDEs | Nizar Touzi (École Polytechnique) | Lind Hall 305 | ND6.7-18.10 |
| 10:00am-10:15am | Break | PISG6.7-25.10 | ||
| 10:15am-11:15am | Numerics for full waves (continued) | Gang Bao (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:30am-11:00am | Coffee break | Lind Hall 400 | ND6.7-18.10 | |
| 11:00am-12:30pm | Stochastic games: Pontryagin maximum principle and the Isaacs conditions | Rene Carmona (Princeton University) | Lind Hall 305 | ND6.7-18.10 |
| 11:15am-11:30am | Break | PISG6.7-25.10 | ||
| 11:30am-12:30pm | Dis/Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 12:30pm-3:30pm | Lunch | ND6.7-18.10 | ||
| 2:00pm-3:00pm | Numerics for full waves (continued) | Jean-Claude Nédélec (École Polytechnique) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 3:00pm-3:15pm | Break | PISG6.7-25.10 | ||
| 3:00pm-6:00pm | Pizza and Movie (Amount due will be
announced at a later time) Social outing leader - Fadil Santosa | Lind Hall 409 | SW6.14-7.16.10 | |
| 3:15pm-4:15pm | Lec/Lab/Dis | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 3:30pm-5:00pm | Dynamic oligopolies and differential games. II | Ronnie Sircar (Princeton University) | Lind Hall 305 | ND6.7-18.10 |
| 4:15pm-5:00pm | Office Hours | PISG6.7-25.10 |
| All Day | Work on projects. Lind Hall 400 | SW6.14-7.16.10 | ||
| 8:30am-9:00am | Coffee | Lind Hall 400 | ND6.7-18.10 | |
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Numerics for full waves (continued) | Jean-Claude Nédélec (École Polytechnique) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 9:00am-10:30am | Numerical methods for BSDEs and applications | Nizar Touzi (École Polytechnique) | Lind Hall 305 | ND6.7-18.10 |
| 10:00am-10:15am | Break | PISG6.7-25.10 | ||
| 10:15am-11:15am | Numerics for full waves (continued) | Gang Bao (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:30am-11:00am | Coffee break | Lind Hall 400 | ND6.7-18.10 | |
| 11:00am-12:30pm | Examples of linear-quadratic stochastic games in environmental finance | Rene Carmona (Princeton University) | Lind Hall 305 | ND6.7-18.10 |
| 11:15am-11:30am | Break | PISG6.7-25.10 | ||
| 11:30am-12:30pm | Dis/Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 2:00pm-3:00pm | Numerics for full waves (continued) | Gang Bao (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 3:00pm-3:15pm | Break | PISG6.7-25.10 | ||
| 3:00pm-4:30pm | Each group makes progress reports | Lind Hall 409 | SW6.14-7.16.10 | |
| 3:15pm-4:15pm | Lec/Lab/Dis | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 4:15pm-5:00pm | Office Hours | PISG6.7-25.10 |
| All Day | No scheduled activity | PISG6.7-25.10 | ||
| All Day | No scheduled activity. | SW6.14-7.16.10 |
| All Day | No scheduled activity | PISG6.7-25.10 | ||
| All Day | No scheduled activity. | SW6.14-7.16.10 |
| All Day | Work all day on projects. Lind Hall 400 | SW6.14-7.16.10 | ||
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Talk | Bernardo Cockburn (University of Minnesota) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:00am-10:10am | Break | PISG6.7-25.10 | ||
| 10:10am-11:10am | Talk | John Schotland (University of Pennsylvania) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 11:10am-11:20am | Break | PISG6.7-25.10 | ||
| 11:20am-12:20pm | Talk | David C. Dobson (University of Utah) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 12:20pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 2:00pm-3:00pm | Talk | Jeffrey Rauch (University of Michigan) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 3:00pm-3:10pm | Break | PISG6.7-25.10 | ||
| 3:10pm-4:10pm | Talk | Jingfang Huang (University of North Carolina) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 4:10pm-5:00pm | Dis/Q&A/OH | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| All Day | Work all day on projects. Lind Hall 400 | SW6.14-7.16.10 | ||
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Talk | Thomas Hagstrom (Southern Methodist University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:00am-10:10am | Break | PISG6.7-25.10 | ||
| 10:10am-11:10am | Talk | Li-Tien Cheng (University of California, San Diego) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 11:10am-11:20am | Break | PISG6.7-25.10 | ||
| 11:20am-12:30pm | Dis/Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 2:00pm-3:00pm | Talk | Shingyu Leung (Hong Kong University of Science and Technology) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 3:00pm-3:10pm | Break | PISG6.7-25.10 | ||
| 3:10pm-4:10pm | Talk | Peijun Li (Purdue University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 4:10pm-5:00pm | Dis/Q&A/OH | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| All Day | Work on projects. Lind Hall 400 | Lind Hall 400 | SW6.14-7.16.10 | |
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Group dis | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 10:00am-10:10am | Break | PISG6.7-25.10 | ||
| 10:10am-11:10am | Team work | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 11:10am-11:20am | Break | PISG6.7-25.10 | ||
| 11:20am-12:30pm | Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 2:00pm-3:00pm | Group dis | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 3:00pm-4:00pm | Seminar - Snail robots, adhesion, and complex fluids | Randy H. Ewoldt (University of Minnesota) | Lind Hall 409 | SW6.14-7.16.10 |
| 3:00pm-3:10pm | Break | PISG6.7-25.10 | ||
| 3:10pm-4:10pm | Team work | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 4:10pm-5:00pm | Office Hours | PISG6.7-25.10 |
| All Day | Work on projects. Lind Hall 400 | SW6.14-7.16.10 | ||
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Talk | Ya Yan Lu (City University of Hong Kong) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 10:00am-10:10am | Break | PISG6.7-25.10 | ||
| 10:10am-11:10am | Talk | Balasubramaniam Shanker (Michigan State University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 11:10am-11:20am | Break | PISG6.7-25.10 | ||
| 11:20am-12:30pm | Dis/Q&A | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 2:00pm-3:00pm | Talk | Songming Hou (Louisiana Tech University) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 3:00pm-6:00pm | Social outing leader - Daniel Flath | Como Zoo/ Conservatory |
SW6.14-7.16.10 | |
| 3:00pm-3:10pm | Break | PISG6.7-25.10 | ||
| 3:10pm-4:10pm | Talk | Yassine Boubendir (New Jersey Institute of Technology) | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| 4:10pm-5:00pm | Dis/Q&A/OH | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| All Day | Work on projects. Lind Hall 400 | SW6.14-7.16.10 | ||
| 8:30am-9:00am | Coffee | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 9:00am-10:00am | Student presentations | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 10:00am-10:10am | Break | PISG6.7-25.10 | ||
| 10:10am-11:10am | Student presentations | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 11:10am-11:20am | Break | PISG6.7-25.10 | ||
| 11:20am-12:30pm | Student presentations | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 12:30pm-2:00pm | Lunch | PISG6.7-25.10 | ||
| 2:00pm-3:00pm | Student presentations | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 3:00pm-4:30pm | Each group makes progress reports | Lind Hall 409 | SW6.14-7.16.10 | |
| 3:00pm-3:10pm | Break | PISG6.7-25.10 | ||
| 3:10pm-4:10pm | Student presentations | Michigan State University Wells Hall B102 |
PISG6.7-25.10 | |
| 4:10pm-5:00pm | Wrap-up | Michigan State University Wells Hall B102 |
PISG6.7-25.10 |
| All Day | No scheduled activity. | SW6.14-7.16.10 |
| All Day | No scheduled activity. | SW6.14-7.16.10 |
| All Day | Work all day on projects. Lind Hall 400 | SW6.14-7.16.10 |
| All Day | Work all day on projects. Lind Hall 400 | SW6.14-7.16.10 |
| All Day | Work on projects. Lind Hall 400 | Lind Hall 400 | SW6.14-7.16.10 | |
| 8:15am-8:45am | Registration and coffee | Lind Hall 400 | SW6.30-7.2.10 | |
| 8:45am-9:00am | Introduction to the IMA | Fadil Santosa (University of Minnesota) | Lind Hall 305 | SW6.30-7.2.10 |
| 9:00am-9:45am | Introduction to MOSAIC | Daniel Kaplan (Macalester College) | Lind Hall 305 | SW6.30-7.2.10 |
| 9:45am-10:45am | MOSAIC Curricula I (Randall Pruim, moderator) | Christophe Golé (Smith College) Eric Marland (Appalachian State University) Randall Pruim (Calvin College) | Lind Hall 305 | SW6.30-7.2.10 |
| 10:45am-11:15am | Break | Lind Hall 400 | SW6.30-7.2.10 | |
| 11:15am-12:15pm | MOSAIC Curricula II | Lind Hall 305 | SW6.30-7.2.10 | |
| Saber Elaydi (Trinity University) | ||||
| The Integration of … modeling, statistics, computation and calculus at East Tennessee State University | Jeff Randall Knisley (East Tennessee State University) | |||
| moderator | Randall Pruim (Calvin College) | |||
| 12:15pm-1:30pm | Lunch (independently) | Local restaurants | SW6.30-7.2.10 | |
| 1:30pm-2:30pm | Identifying modeling concepts | Daniel Kaplan (Macalester College) | Lind Hall 305 | SW6.30-7.2.10 |
| 2:30pm-3:00pm | Break | Lind Hall 400 | SW6.30-7.2.10 | |
| 3:00pm-4:00pm | Seminar - Title:TBA | Richard P. McGehee (University of Minnesota) | Lind Hall 409 | SW6.14-7.16.10 |
| 3:00pm-4:00pm | Computer packages and languages to support MOSAIC instruction | Randall Pruim (Calvin College) | EE/CS 3-180 | SW6.30-7.2.10 |
| 4:00pm-4:30pm | MOSAICS and Tiles I | Lind Hall 305 | SW6.30-7.2.10 | |
| moderator | Nicholas Jon Horton (Smith College) | |||
| Automatic differentiation using MATLAB OOP | Richard D. Neidinger (Davidson College) | |||
| Randomization based inference | Nathan Tintle (Hope College) | |||
| 4:30pm-4:40pm | Group photo | SW6.30-7.2.10 | ||
| 4:40pm-5:30pm | MOSAICS and Tiles II | Lind Hall 305 | SW6.30-7.2.10 | |
| moderator | Nicholas Jon Horton (Smith College) | |||
| Learning by investigation: A context for integrating statistics, mathematics, and computation | Jeff Randall Knisley (East Tennessee State University) | |||
| Randall Pruim (Calvin College) | ||||
| 6:30pm-9:30pm | Social activity: Saint Paul Saints game. Cars leave at 6:30. (Decent) ballpark food available at the game. | SW6.30-7.2.10 |
| All Day | Work on projects. Lind Hall 400 | SW6.14-7.16.10 | ||
| 8:30am-9:00am | Coffee | Lind Hall 400 | SW6.30-7.2.10 | |
| 9:00am-9:45am | Introduction to concept inventories | Daniel Kaplan (Macalester College) | Lind Hall 305 | SW6.30-7.2.10 |
| 9:45am-10:15am | Brainstorming inventory problems | Daniel Kaplan (Macalester College) | Lind Hall 305 | SW6.30-7.2.10 |
| 10:15am-10:30am | Break | Lind Hall 400 | SW6.30-7.2.10 | |
| 10:30am-11:15am | MOSAIC computation | Lind Hall 305 | SW6.30-7.2.10 | |
| Simulate THAT! (15m) | James Caristi (Valparaiso University) | |||
| moderator | Nicholas Jon Horton (Smith College) | |||
| Keeping it R.E.A.L. (30m) | Anthony Tongen (James Madison University) | |||
| 11:15am-12:30pm | Model eliciting activities | Robert Claude delMas (University of Minnesota) | Lind Hall 305 | SW6.30-7.2.10 |
| 12:00pm-1:30pm | Lunch (independently) | Local restaurants | SW6.30-7.2.10 | |
| 1:30pm-2:00pm | Principles of assessment | Andrew Zieffler (University of Minnesota) | Lind Hall 305 | SW6.30-7.2.10 |
| 2:00pm-3:00pm | Leading and M-CAST | Lind Hall 305 | SW6.30-7.2.10 | |
| A prototype M-CAST | Nicholas Jon Horton (Smith College) | |||
| A day at the lake | Daniel Kaplan (Macalester College) | |||
| moderator | Eric Marland (Appalachian State University) | |||
| 3:00pm-6:00pm | Social outing - Mill City Museum (please bring \$10 - \$15 with you for entrance and transportation) Social outing leader - Andrew Beveridge | Mill City Museum 704 South Second Street Minneapolis, MN 55401 612-341-7555 |
SW6.14-7.16.10 | |
| 3:00pm-3:15pm | Break | Lind Hall 400 | SW6.30-7.2.10 | |
| 3:15pm-3:45pm | Brainstorming ideas for M-CASTS | Eric Marland (Appalachian State University) | Lind Hall 305 | SW6.30-7.2.10 |
| 3:45pm-4:30pm | MOSAIC Curricula III | Lind Hall 305 | SW6.30-7.2.10 | |
| Statistical modeling for poets | Vittorio Addona (Macalester College) | |||
| Applied calculus at Macalester | Daniel Kaplan (Macalester College) | |||
| 4:30pm-5:00pm | Creating Momentum: Where do we go from here? How do we get there? | Eric Marland (Appalachian State University) | Lind Hall 305 | SW6.30-7.2.10 |
| 6:00pm-9:00pm | Social Activity: Open house at the Walker Art Center, dinner as arranged independently. | SW6.30-7.2.10 |
| All Day | Work on projects. Lind Hall 400 | SW6.14-7.16.10 | ||
| 8:30am-9:00am | Coffee | Lind Hall 400 | SW6.30-7.2.10 | |
| 9:00am-10:30am | Teaching computation to support STEM students | Lind Hall 305 | SW6.30-7.2.10 | |
| Literate, reproducible computation | Nicholas Jon Horton (Smith College) | |||
| R and Matlab at Macalester | Daniel Kaplan (Macalester College) | |||
| Python at Calvin | Randall Pruim (Calvin College) | |||
| 10:30am-10:45am | Break | Lind Hall 400 | SW6.30-7.2.10 | |
| 10:45am-12:00pm | Panel discussion: Institutional opportunities and obstacles (Saber Elaydi, moderator) | Olcay Akman (Illinois State University) Saber Elaydi (Trinity University) Jeff Randall Knisley (East Tennessee State University) Eric Marland (Appalachian State University) Michael Pearson (Mathematical Association of America (MAA)) Andrew Zieffler (University of Minnesota) | Lind Hall 305 | SW6.30-7.2.10 |
| 12:00pm-12:15pm | Wrap-up and recommendations for further actions | Daniel Kaplan (Macalester College) | Lind Hall 305 | SW6.30-7.2.10 |
| 3:00pm-4:30pm | Each group makes progress reports | Lind Hall 409 | SW6.14-7.16.10 |
| All Day | No scheduled activity. | SW6.14-7.16.10 |
| All Day | No scheduled activity. | SW6.14-7.16.10 |
| All Day | Independence Day (observed). The IMA is closed. | |||
| All Day | Work all day on projects. Lind Hall 400 | SW6.14-7.16.10 |
| All Day | Work all day on projects. Lind Hall 400 | SW6.14-7.16.10 |
| All Day | Work on projects. Lind Hall 400 | Lind Hall 400 | SW6.14-7.16.10 | |
| 3:00pm-4:00pm | Seminar - Squishy and frozen interfaces: Instabilities and applications | Satish Kumar (University of Minnesota) | Lind Hall 409 | SW6.14-7.16.10 |
| All Day | Work on projects. Lind Hall 400 | SW6.14-7.16.10 | ||
| 3:00pm-6:00pm | Social outing - St. Anthony Falls Laboratory Tour Social outing leader - Kara Lee Maki | St. Anthony Falls Laboratory | SW6.14-7.16.10 |
| All Day | Work on projects. Lind Hall 400 | SW6.14-7.16.10 | ||
| 3:00pm-4:30pm | Each group makes progress reports | Lind Hall 409 | SW6.14-7.16.10 |
| All Day | No scheduled activity. | SW6.14-7.16.10 |
| All Day | No scheduled activity. | SW6.14-7.16.10 |
| All Day | Work all day on projects. Lind Hall 400 | SW6.14-7.16.10 |
| All Day | Work all day on projects. Lind Hall 400 | SW6.14-7.16.10 |
| All Day | Work on projects. Lind Hall 400 | Lind Hall 400 | SW6.14-7.16.10 | |
| 3:00pm-4:00pm | Seminar - Title:TBA | Daniel Spirn (University of Minnesota) | Lind Hall 409 | SW6.14-7.16.10 |
| All Day | Work on projects. Lind Hall 400 | SW6.14-7.16.10 | ||
| 3:00pm-6:00pm | Social outing - Canoe at Calhoun (please bring \$10 - \$15 with you for rental
and transportation) In case of rain Walker Art Museum. Social outing leader - Olaf Hall-Holt | Calhoun or Walker Art Museum | SW6.14-7.16.10 |
| 10:00am-12:00pm | Final presentations | Lind Hall 409 | SW6.14-7.16.10 | |
| 12:00pm-1:00pm | Poster session and pizza | Lind Hall 400 | SW6.14-7.16.10 |
Event Legend: |
|
| ND6.7-18.10 | New Directions Short Course: New Mathematical Models in Economics and Finance |
| PISG6.7-25.10 | Computational Wave Propagation |
| SW6.14-7.16.10 | Interdisciplinary Research Experience for Undergraduates |
| SW6.30-7.2.10 | Kickoff Workshop for Project MOSAIC |
| W6.1-5.10 | Natural Locomotion in Fluids and on Surfaces: Swimming, Flying, and Sliding |
| Silas Alben (Georgia Institute of Technology) | Swimming and flapping in vortex wakes |
| Abstract: Keywords: fish swimming, vortices, krill, fins Abstract: We consider two problems related to the propulsion of flexible surfaces in vortex wakes. First, we present a simple model of a trout swimming in a cylinder wake, which saves energy by slaloming through a vortex street. We find analytic solutions and compare with previous experiments and numerics. Second, we study ``inverted drafting'' in flags, in which the drag force on one flag is increased by excitation from the wake of another. The types of drafting and dynamics (synchronization and erratic flapping) depend on the separation distance between the flags. We may also discuss recent work on krill swimming and an optimal design for fish fins. | |
| Erhan Bayraktar (University of Michigan) | Strict local martingale deflators and pricing American call-type options |
| Abstract: We solve the problem of pricing and optimal exercise of American call-type options in markets which do not necessarily admit an equivalent local martingale measure. This resolves an open question proposed by Fernholz and Karatzas [Stochastic Portfolio Theory: A Survey, Handbook of Numerical Analysis, 15:89-168, 2009].
Joint work with Kostas Kardaras and Hao Xing. Available at http://arxiv.org/abs/0908.1082. |
|
| Gordon Joseph Berman (Princeton University), Kenny Breuer (Brown University), Randy H. Ewoldt (University of Minnesota), Hermes Gadêlha (University of Oxford), Jifeng Hu (University of Minnesota), Pieter Jan Antoon Janssen (University of Wisconsin), Arshad Kudrolli (Clark University), Amy Lang (University of Alabama), Ronald G. Larson (University of Michigan), Enkeleida Lushi (New York University), Hassan Masoud (Georgia Institute of Technology), Hoa Nguyen (Tulane University), Clara O'Farrell (California Institute of Technology), Sarah Olson (Tulane University) | Poster Sound Bites |
| Abstract: No Abstract | |
| Gordon Joseph Berman (Princeton University) | Reconstructing the behavior of terrestrial fruit flies |
| Abstract: The traditional paradigm for the lab-based study of animal behavior has been to place an organism in a restricted environment and to understand it through the lens of a discrete set of allowed behaviors. While these limitations allow for more focused questions and higher data throughput, the particularities of these restrictions almost inevitably have implications for the resulting output. Moreover, the choice of a discretized classification by which the experiment describes the animal’s movements is often fraught with arbitrariness and anthropomorphism -- as well as the fact that a discrete set of behaviors may not even exist in the first place. What we aim to do here is to apply a data-driven approach to parameterize the behavior of a genetic model species, the fruit fly Drosophila melanogaster. Borrowing techniques from computer vision, machine learning, nonlinear dynamics, and statistical physics, our goal is to film long sequences of the insects moving within a relatively unrestricted environment and to translate these sequences into time-series data. From these time-series, we hope to build a descriptive language for fly behavior that can provide insight into how these creatures move, groom, communicate, mate, and otherwise live their lives. | |
| Steven Bleiler (Portland State University) | Evaluating regulatory strategies for emmision abatement - An engineering approach |
| Abstract: No Abstract | |
| Luca Brandt (Royal Institute of Technology (KTH)) | Numerical simulations of a free squirmer in a viscoelastic fluid |
| Abstract: The locomotion of biological microorganisms has been the object of much research over the last half of a century. Although significant progress has been made in the study of motion in Newtonian fluids, many biological cells such as bacteria often encounter viscous environments with suspended microstructures or macromolecules. The physics of micro-propulsion in such a non-Newtonian viscoelastic fluid has only recently started to be addressed. In our work, we present a numerical study of the motility of an axisymmetric spherical squirmer in a polymeric flow. The microswimmer that we consider here is driven by a purely tangential distortion on the outer surface reproduced as non-homogenous boundary condition on a rigid sphere. We solve the hydrodynamic Stokes equation (zero Reynolds number) with the extra stress term generated by advection and stretching of polymers. As transport equation for the polymeric stress, we use here the nonlinear Giesekus model. The swimming speed is lower in a visco-elastic fluid and is asymptotically recovering for large Weissenberg numbers approaching values only about 15% smaller than in a Newtonian fluid. Interestingly, the efficiency is seen to significantly increase as the viscosity of the polymeric fluid is increased. | |
| Kenny Breuer (Brown University) | Synchronization of flagella and cilia through hydrodynamic interactions |
| Abstract: Many biological systems use flexible filaments moving in a viscous fluid to achieve motility or fluid transport. Examples include bacteria that use flagella to swim, paramecium that use cilia for motion and cilia on the wall of the lungs used for particulate removal. In tall of these cases, the filaments are observed to synchronize their motion, and since there is no chemical or physiological coordination, this synchronization is thought to be mediated by hydrodynamic forces. We demonstrate the use of a model system that captures all of the essential features in hydrodynamic synchronization, including multiple filaments interacting through viscous stresses, as well as the presence of structural flexibility in each filament, which is known to be a necessary component for synchronization. We explore the dynamics of hydrodynamic synchronization in this modelsystem using experiments, numerical simluations that employ regularized Stokeslets, and a simple analtyical model. All three approaches give consistent results and point to the relative roles of viscous stresses, structural flexibility in the synchronization dynamics. | |
| Guillaume Carlier (Université de Paris-Dauphine) | Monge-Kantorovich optimal transport problem |
| Abstract: No Abstract | |
| Guillaume Carlier (Université de Paris-Dauphine) | Strictly convex transportation costs |
| Abstract: No Abstract | |
| Guillaume Carlier (Université de Paris-Dauphine) | The case cost=distance |
| Abstract: No Abstract | |
| Guillaume Carlier (Université de Paris-Dauphine) | Economic applications of optimal transport |
| Abstract: No Abstract | |
| Guillaume Carlier (Université de Paris-Dauphine) | Congested transport |
| Abstract: No Abstract | |
| Rene Carmona (Princeton University) | Energy and emissions markets, and the existing cap-and-trade schemes |
| Abstract: No Abstract | |
| Rene Carmona (Princeton University) | Discrete time competitive equilibrium models for cap-and-trade schemes and the carbon tax |
| Abstract: No Abstract | |
| Rene Carmona (Princeton University), Max Fehr (London School of Economics and Political Science) | Implementation of a simple model: first example |
| Abstract: No Abstract | |
| Rene Carmona (Princeton University) | Mathematical models for allocation mechanisms and cost distribution |
| Abstract: No Abstract | |
| Rene Carmona (Princeton University), Max Fehr (London School of Economics and Political Science) | Implementation of a simple model: second example |
| Abstract: No Abstract | |
| Rene Carmona (Princeton University) | Discrete time competitive equilibrium models for cap-and-trade schemes and the clean development mechanism |
| Abstract: No Abstract | |
| Rene Carmona (Princeton University) | Stochastic optimization and first continuous time models of cap-and-trade schemes |
| Abstract: No Abstract | |
| Rene Carmona (Princeton University) | Binary martingales and option pricing: 1) Reduced form models; 2) Perturbation methods |
| Abstract: No Abstract | |
| Rene Carmona (Princeton University) | Singular BSDEs appearing in cap-and-trade models |
| Abstract: No Abstract | |
| Rene Carmona (Princeton University) | Game theory, Nash equilibrium, and electricity prices with strategic market players |
| Abstract: No Abstract | |
| Rene Carmona (Princeton University) | Stochastic games: Pontryagin maximum principle and the Isaacs conditions |
| Abstract: No Abstract | |
| Rene Carmona (Princeton University) | Examples of linear-quadratic stochastic games in environmental finance |
| Abstract: No Abstract | |
| Stephen Childress (New York University) | Tutorial: Introduction to locomotion at low and intermediate Reynolds numbers |
| Abstract: No abstract | |
| Howie Choset (Carnegie Mellon University) | Optimal coordinate choice for locomoting systems |
| Abstract: Work with Ross Hatton. Keywords: locomotion, snake robots, gait design Abstract: Animals often use gaits — cyclic changes in shape producing a net displacement — to move through their environments. In robotics, we are interested in planning motions for artificial systems that can match or exceed the locomotive capabilities of animals. A fundamental question of locomotion is "What are the characteristics of a useful gait?" The geometric mechanics community has made significant progress in answering this question, identifying functions of the system shape that capture the net displacements induced by broad classes of gaits without having to individually test each possible motion. In this talk, we first introduce these results with the aim of separating them from the specialized language of differential geometry and making them accessible to a broader audience. Following this introduction, we then examine how the choice of generalized coordinates quality of the locomotion functions, a question which has not previously been addressed. | |
| Luis H. Cisneros (University of Arizona) | From individual to collective swimming dynamics of bacillus subtilis |
| Abstract: Joint work with John O. Kessler (Physics Department, University of Arizona, Tucson, AZ 85721). Keywords: bacteria, interacting self propelled particles, collective behavior, PIV, bio-fluid-dynamics Abstract: Spatial order and fast collective coherent dynamics of populations of swimming bacteria emerges from local interactions and from flows generated by the organisms’ locomotion. The transition from dilute, to intermediate, to high concentrations of cells will be demonstrated by movie clips. Analyses of these data, presented as probability density functions for swimming velocity, show that the low concentration phase which exhibits swimming speeds characteristic of individual bacteria, arrives at the anomalously high speed phase, ZBN, the ZoomingBioNematic, via an intermediate phase that exhibits surprisingly low mean speeds. The origin of this phenomenon relates to scattering and the known dynamics of velocity flipping. Particle Imaging Velocimetry (PIV) was used for analysis of mixing, and of collective velocities, correlated with alignment within coherent patches. Supported by the Department of Energy, grant DOE-W-31-109-ENG-38. | |
| Aline J. Cotel (University of Michigan), Paul W. Webb (University of Michigan) | Living in a turbulent world: Interactions between fishes and eddies |
| Abstract: Keywords: fish/eddy interaction, vorticity, evolution of control surfaces and function, turbulence, fish responses. Abstract: The natural habitats of fishes are characterized by water movements driven by a multitude of physical processes of either natural or human origin. The resultant unsteadiness is exacerbated when flow interacts with surfaces, such as the bottom and banks, and protruding objects, such as corals, boulders, and woody debris. There is growing interest in the impacts on performance and behavior of fishes swimming in "turbulent flows." The ability of fishes to stabilize body postures and their swimming trajectories is thought to be important in determining species distributions and densities, and hence resultant assemblages in various habitats. Furthermore, water flow, structure and vorticity are related to the shape of the body and fins of fishes swimming largely in relatively steady flows. Adaptations to minimize energy losses would be anticipated. We suggest such mechanisms may be found in varying the length of the propulsive wave, stiffening propulsive surfaces, and shifting to use of the median and paired fins when swimming at low speeds. The archetypal streamlined "fish" shape reduces destabilizing forces for fishes swimming into eddies. Understanding impacts of turbulence and vorticity on fishes is important as human practices modify water movements, and as turbulence-generating structures ranging from hardening shorelines to control erosion, through designing fish deterrents, to the design of fish passageways become common. | |
| Darren G. Crowdy (Imperial College London) | Low-Reynolds-number swimming near walls and free surfaces |
| Abstract: There has been much recent interest in understanding the dynamics of low-Reynolds-number swimmers near no-slip boundaries and free capillary surfaces. This talk will present theoretical ideas for studying the dynamics of such swimmers within the framework of simple two dimensional models. The 2D models are developed using the methods of complex analysis and afford significant analytical advantages while still capturing the essential mechanisms of (certain) fully three dimensional situations. In many cases the approach yields explicit nonlinear dynamical systems that can be directly studied. The models can rationalize behaviour observed in numerical and laboratory experiments and can provide predictions for the swimmer dynamics in more complicated situations. We will survey results on swimming near a no-slip wall [joint work with Y. Or], swimming in other conned geometries [joint work with O. Samson] and swimming near a free capillary surface [joint work with S. Lee, O. Samson, A. Hosoi and E. Lauga]. | |
| Zhenlu Cui (Fayetteville State University) | A kinetic theory for suspensions of micoswimmers |
| Abstract: Using a nonlocal nematic potential, we present a kinetic theory for nonhomogeneous suspensions of micoswimmers. We then study the steady states to an imposed weak shear. Our results show that the activity parameter will result in permeative or oscillatory flow behaviors at the leading order depending the Leslie tumbling parameter. The linear viscoelasticity is also calculated, which is similar to chiral liquid crystals. | |
| John O. Dabiri (California Institute of Technology) | Using vortices for locomotion |
| Abstract: Keywords: vortices, locomotion, swimming, flying Abstract: The formation and shedding of fluid vortices is an inevitable consequence of movement for all but the smallest of swimming and flying organisms. Can animals use these vortices to enhance locomotion? If so, can their methods of vortex-enhanced propulsion be translated to engineered systems? This talk will describe experimental studies of jellyfish and numerical simulations of eels that suggest candidate mechanisms to enhance the efficiency and speed of locomotion by using vortices. A bio-inspired underwater vehicle is created to test the ideas in an engineering context. It appears that swimming and flying animals have significant opportunities to optimize their locomotion by making use of vortices. | |
| Mark Denny (Stanford University) | Subtleties in nature’s simplest form of locomotion: jet propulsion in squids and scallops |
| Abstract: Keywords: squid, scallop, jet propulsion, hydrodynamic efficiency, Antarctica, ontogeny, scaling Abstract: Among multicellular animals, jet propulsion is nature’s simplest (and arguably its oldest) form of aquatic locomotion. Any flexible, hollow body girdled by circumferential muscle fibers, can, by expelling fluid through an orifice, produce thrust and thereby swim. Despite the fundamental simplicity of this locomotory mechanism, aspects of its realization in nature continue to provide insight into the physiology, ecology, and evolution of a wide variety of animals. In this talk, I report on two mollusks that use jet propulsion. The Antarctic scallop is one of only a few bivalves that can swim. Like its temperate and tropical cousins, it claps its shells together to expel a jet of water sufficiently powerful to lift both its internal organs and its dense calcium-carbonate shell off the seafloor. But the Antarctic scallop must perform this feat in water at -1.86 degrees C, a temperature at which muscle power is reduced and water’s viscosity is 1.43 times that of tropical water. Shell mass in the Antarctic scallop is much reduced relative to tropical scallops, but muscle mass is reduced even more. The only net advantage evident in Antarctic scallops is the increased resilience of the “spring” that opens the shell, suggesting that even slight increases in hydrodynamic efficiency can be selected during evolution. Increases in hydrodynamic efficiency may also play an important role in squid locomotion. Unlike most jet propulsors (e.g., jellyfish, salps, clams), squids can actively control the size of the orifice through which water is expelled. Appropriate narrowing of the jet orifice during mantle contraction can boost the efficiency of both the hydrodynamics of propulsion and the contraction of muscle. This potential increase in efficiency may be most important in small juvenile squid, for whom jet propulsion is otherwise very inefficient. | |
| Ivar Ekeland (University of British Columbia) | Non-constant discount rates, time inconsistency, and the golden rule |
| Abstract: In economic theory one typically discounts future benefits at a constant rate. An example of this is the celebrated model of endogeneous growth, originating with Ramsey (1928), which leads to the so-called golden rule in macroeconomics. There are now excellent reasons (intergenerational equity, for instance) to use non-constant discount rates. There is then a problem of time-inconsistency: a policy which is optimal today will no longer be so when the time comes to implement it. So optimization is pointless, and a substitute has to be found for optimal strategies. We will define such a substitute, namely equilibrium strategies, show how to characterize them, and investigate what happens to the golden rule. This is joint work with Ali Lazrak. | |
| Ivar Ekeland (University of British Columbia) | The Merton problem with hyperbolic discounting |
| Abstract: There is strong evidence that individuals discount future utilities at non-constant rates. The notion of optimality then disappears, because of time inconsistency (see the Tuesday colloquium) and rational behaviour then centers around equilibrium strategies. I will investigate portfolio management with hyperbolic discounting (the discount rate increases with time), and I will show that this may explain some well-known puzzles of portfolio management. This is joint work with Traian Pirvu. | |
| Acmae El Yacoubi (Cornell University), Daniel Ivan Goldman (Georgia Institute of Technology), Zhi (George) Lin (University of Minnesota), Yizhar Or (Technion-Israel Institute of Technology), Neelesh A. Patankar (Northwestern University), Jifeng Peng (University of Alaska), Henry Shum (University of Oxford), Saverio Eric Spagnolie (University of California, San Diego), Wanda Strychalski (University of California, Davis), Susan S. Suarez (Cornell University), Daniel See-Wai Tam (Massachusetts Institute of Technology), Sheng Xu (Southern Methodist University), Jeannette Yen (Georgia Institute of Technology) | Poster Sound Bites |
| Abstract: No Abstract | |
| Acmae El Yacoubi (Cornell University) | Computational study of the interaction of free moving particles at intermediate Reynolds numbers |
| Abstract: In this new implementation of the Immersed Interface Method, we solve for the coupled dynamics of free moving objects in a fluid. We test the code by comparing our results with experimental data on falling plates and cylinders. We further present the dynamics of an array of falling cylinders and contrast the results of the even and odd configuration. | |
| Jeff D. Eldredge (University of California, Los Angeles) | A unified framework for inviscid and viscous simulations of biolocomotion |
| Abstract: We present a formulation for coupled solutions of fluid and body dynamics in problems of biolocomotion. This formulation unifies the treatment at moderate to high Reynolds number with the corresponding inviscid problem. By a viscous splitting of the Navier–Stokes equations, inertial forces from the fluid are distinguished from the viscous forces, and the former are further decomposed into contributions from body motion in irrotational fluid and ambient fluid vorticity about an equivalent stationary body. In particular, the added mass of the fluid is combined with the intrinsic inertia of the body to allow for simulations of bodies of arbitrary mass, including massless or neutrally buoyant bodies. The resulting dynamical equations can potentially illuminate the role of vorticity in locomotion, and provide new pathways toward reduced-order modeling. Examples of articulated or continuously deforming bodies undergoing swimming or flying kinematics are presented and discussed. | |
| Randy H. Ewoldt (University of Minnesota) | Helicobacter pylori (stomach bacterium) moves through mucus by reducing mucin viscoelasticity |
| Abstract: The ulcer-causing gastric pathogen Helicobacter pylori is able to swim through the viscoelastic mucus gel that coats the stomach wall, but its mechanism of locomotion through an acidic gel environment is poorly understood. This experimental study indicates that the helicoidal-shaped H. pylori achieves motility by altering the rheological properties of its environment. H. pylori locally raises the pH of its environment in order to survive in the acidic conditions of the stomach. This local change of pH affects the rheology of the surrounding mucus material. We show that gastric mucus is pH dependent, changing from a gel at acidic conditions (low pH) into a viscous solution at more neutral conditions (higher pH). Microscopy studies of the motility of H. pylori in gastric mucin show that the bacteria swim freely at high pH, and are strongly constrained at low pH. Joint work with J. P. Celli, B. S. Turner, N. H. Afdahl, S. Keates, I. Ghiran, C. Kelly, G. H. McKinley, P. So, S. Erramilli, and R. Bansil. http://dx.doi.org/10.1073/pnas.0903438106 | |
| Lisa J. Fauci (Tulane University) | Lamprey locomotion: An integrative muscle mechanics - fluid dynamics model |
| Abstract: In an effort towards an understanding of the generation and control of vertebrate locomotion, including the role of the CPG and its interactions with reflexive feedback, muscle mechanics, and external fluid dynamics, we study a simple vertebrate, the lamprey. Lamprey body undulations are a result of a wave of neural activation that passes from head to tail, causing a wave of muscle activation. These active forces are mediated by passive structural forces. We present a model that includes the complete fluid-structure interaction problem, in which the body is elastic and deforms according to both internal muscular forces and external fluid forces. The model uses an immersed-boundary framework for solving the Navier-Stokes equations of fluid motion, and includes a nonlinear muscle model, an elastic body, and an adaptive solver that is accurate at length and velocity scales that are appropriate for swimming lampreys. The effects of various body and environmental properties, including tapered and uniform body shapes, different body stiffness, varying muscle parameters, and a range of viscosities are examined as they relate to swimming dynamics and energy requirements. (This is joint work with Chia-yu Hsu, Eric Tytell, Thelma Williams, Tyler McMillen and Avis Cohen.) | |
| Max Fehr (London School of Economics and Political Science) | Simulations of realistic EU ETS models joint work with U. Cetin & P. Barrieu (London School of Economics) |
| Abstract: We propose a model for risk neutral futures price dynamics in the European Unions Emissions Trading Scheme (EU ETS). Historical price dynamics suggests that both allowance prices for different compliance periods and CER prices for different compliance periods are significantly related. To obtain a realistic price dynamics we take into account the specific details of the EU ETS compliance regulations, such as banking and the link to the Clean Development Mechanism (CDM), and exploit arbitrage relationships between futures on EU allowances and Certified Emission Reductions. | |
| Frank E. Fish (West Chester University) | Winged aquatic locomotion for high energetic efficiency through vortex control |
| Abstract: Keywords: hydrodynamics, lift-based propulsion, leading edge tubercles, dolphin, whale, manta, vorticity control Abstract: Optimization of energy by large aquatic animals (e.g., dolphins, whales, manta) requires adaptations that control hydrodynamic flow to reduce drag, and improve thrust production and efficiency. Although streamlining of the body and appendages minimizes drag, highly derived aquatic animals utilize mechanisms of propulsion and control based on lift generation, which maximizes thrust production and minimizing drag. Oscillations of the wing-like fins and flukes, which are hydrofoils, generate thrust throughout the stroke cycle and maintain a propulsive efficiency over 80%. This high efficiency is dependent on spanwise and chordwise bending and management of swimming kinematics to control vorticity. Control of vorticity to improve locomotor performance for maneuverability is enhanced by modification to the leading edge of control surfaces. The humpback whale (Megaptera novaeangliae) flippers are unique because of the presence of large tubercles along the leading edge, which gives this surface a scalloped appearance. The tubercles function to produce vortical flows over the surface of the flipper and control lift characteristics at high angles of attack, where stall would occur. The potential benefits from mimicking these biological innovations as applied to engineered systems operating in fluids are high speeds, vorticity control, reduced detection, energy economy, and enhanced maneuverability. | |
| Hermes Gadêlha (University of Oxford) | Nonlinear instability in flagellar dynamics: a novel modulation mechanism in sperm migration? |
| Abstract: Throughout the natural world, cells and organisms use flagella and cilia to propel fluid, achieve cell motility and a range of other functions. The mechanism regulating their waveform, however, is a long-standing biological problem. Indeed, the emergence of such flagellar undulatory waves is a consequence of an intricate balance of fluid dynamic viscous forces, flagellar elastic resistance, and the active bending generated by internal motor proteins. By using theoretical modelling and numerical computations accounting for high curvatures observed physiologically, we show that flagellar compression due to viscous friction and the internal forces may initiates an effective buckling behaviour that leads to an asymmetric flagellar beating and, consequently, switching sperm swimming from a straight migratory trajectory to a circling path. These results demonstrate that observed asymmetric flagellar beating may arise due to a dynamic instability, and not necessarily require some intrinsic asymmetric in the beating mechanism. This behaviour may be important in understanding mammalian sperm trapping, potentially a crucial step in natural fertilisation. | |
| Eamonn Andrew Gaffney (University of Oxford) | Aspects of human sperm motility: Observation and theory |
| Abstract: Studying human spermotozoa motility is a subject of growing importance due to human male subfertility and the fact that the in-vitro fertilisation interventions that bypass normal sperm motility are invasive and entail significant risk for the healthy female partner, as well as being economically prohibitive for many. We present examples of how fluid and continuum dynamics can provide novel insights concerning the mechanics of human spermatozoon behaviour, focussing on the interpretation of recent high resolution imaging. | |
| Daniel Ivan Goldman (Georgia Institute of Technology) | Experiments and models reveal principles of locomotion of the sand-swimming sandfish lizard |
| Abstract: In this talk I will summarize our recent progress in experiments and models of the locomotion of a sand-swimming lizard, the sandfish ({em Scincus scincus}). We use high speed x-ray imaging to study how the 10 cm-long sandfish swims at 2 body-lengths/sec within sand, a granular material that displays solid and fluid-like behavior. Below the surface the lizard no longer uses limbs for propulsion but generates thrust to overcome drag by propagating an undulatory traveling wave down the body. While viscous hydrodynamics can predict swimming speed in fluids like water, an equivalent theory for granular drag is not available. To predict sandfish swimming speed, we develop an empirical resistive force model by measuring drag force on a small cylinder oriented at different angles relative to the displacement direction and summing these forces over the animal movement profile. The model correctly predicts the animal's wave efficiency (ratio of forward speed to wave speed) as approximately 0.5. The empirical model agrees with a more detailed (and more accurate) numerical simulation: a multi-segment model of the sandfish coupled to a multi-particle Molecular Dynamics simulation of the granular media. The agreement between models and the prediction of biological wave efficiency demonstrate that the non-inertial swimming occurs in a frictional fluid and the Molecular Dynamics simulation allows us to visualize the self-generated fluid surrounding the sandfish as it swims. We use the principles discovered to construct a sand-swimming physical model (a robot) which, like in our empirical and multi-particle numerical model, swims fastest using the preferred sandfish wave pattern. | |
| Daniel Ivan Goldman (Georgia Institute of Technology) | Sensitive dependence of the motion of a legged robot on sand |
| Abstract: Legged locomotion on flowing ground ({em e.g.}~granular media) is unlike locomotion on hard ground because feet experience both solid- and fluid-like forces during surface penetration. Recent bio-inspired legged robots display speed relative to body size on hard ground comparable to high performing organisms like cockroaches but suffer significant performance loss on flowing materials like sand. In laboratory experiments we study the performance (speed) of a small (2.3~kg) six-legged robot, SandBot, as it runs on a bed of granular media (1~mm poppy seeds). For an alternating tripod gait on the granular bed, standard gait control parameters achieve speeds at best two orders of magnitude smaller than the 2~body lengths/s ($approx 60$~cm/s) for motion on hard ground. However, empirical adjustment of these control parameters away from the hard ground settings, restores good performance, yielding top speeds of 30~cm/s. Robot speed depends sensitively on the packing fraction $phi$ and the limb frequency $omega$, and a dramatic transition from rotary walking to slow swimming occurs when $phi$ becomes small enough and/or $omega$ large enough. We propose a kinematic model of the rotary walking mode based on generic features of penetration and slip of a curved limb in granular media. The model captures the dependence of robot speed on limb frequency and the transition between walking and swimming modes but highlights the need for a deeper understanding of the physics of granular media. Journal paper: Li et al, PNAS, 2009. | |
| Michael D. Graham (University of Wisconsin) | Transport in suspensions of swimming organisms |
| Abstract: Experiments and simulations indicate that suspensions of swimming microorganisms can exhibit complex phenomena, including pattern-forming instabilities, large scale fluid motions and enhanced passive scalar transport. This talk is an overview of theoretical and computational work describing some of these phenomena. Emphasis will be placed on analysis of various correlation functions associated with the dynamics. The talk concludes with a brief presentation of new directions in this area, including the coordinated motion of collections of bacterial flagella. This is joint work with Patrick T. Underhill and Pieter J. A. Jansssen. | |
| Andong He (Pennsylvania State University) | Inertial corrections to Darcy’s law for Hele-Shaw flows |
| Abstract: A nonlinear unsteady Darcy's equation to include inertial effects of a Hele-Shaw flow and the conditions under which it reduces to the classical Darcy's law are discussed. In the absence of surface tension, we derive a generalized Polubarinova-Galin equation for flows in a circular Hele-Shaw cell using the method of conformal mapping. The linear stability of the base-flow state is examined by perturbing the conformal mapping in form of polynomial modes. We find that small inertia always has the tendency to stabilize the interface. | |
| Christel Hohenegger (New York University) | Stability of active suspensions |
| Abstract: Keywords: active suspensions, kinetic theory Abstract: One of the challenges in modeling the transport properties of complex fluids (e.g. many biofluids, polymer solutions, particle suspensions) is describing the interaction between the suspended micro-structure with the fluid itself. Here I will focus on understanding the dynamics of active suspensions, like swimming bacteria or artificial micro-swimmers. Using a recently derived kinetic model, I have investigated the linearized structure of such an active system near a state of uniformity and isotropy. I will show that system instability can arise only from the dynamics of the first azimuthal mode in swimmer orientation, that the growth of fluctuations for a suspension of anterior actuated swimmers is associated with a proliferation of oscillations in swimmer orientation, that diffusion acts as a smoothing parameter, and that at small-scales the system is controlled independently of the nature of the suspension. Finally a prediction about the onset of the instability as a function of the volume concentration of anterior actuated swimmers and a comparison with numerical simulations is made. | |
| David Hu (Georgia Institute of Technology) | The wet-dog shake |
| Abstract: Joint work with Andrew K. Dickerson, Zachary G. Mills, Paul C. Foster (School of Mechanical Engineering, Georgia Institute of Technology). While much attention has been devoted to the ability of animals to propel themselves through fluids, less work has been done on how they exploit fluids in their grooming habits. The problem of how animals clean and dry themselves involves complex flexible surfaces (hair, skin), unsteady speeds, and wetting/de-wetting of drops and fluid ligaments. In this experimental investigation, we investigate the ability of dogs, rats, mice and other hirsute mammals to rapidly oscillate their bodies in order to shed water droplets, nature's analogy to the spin cycle on a washing machine. High-speed videography and fur-particle tracking is employed to determine the angular position of the animal's shoulder skin as a function of time. We formulate the conditions for de-wetting and propulsion of water drops based on the balance of the forces of surface tension, centripetal forces (which tend to pull drops normally from the skin) and angular-acceleration forces (which tend to slide drops). We find that smaller animals shake fastest: specifically, shaking frequency scales as the shoulder radius to the -1/2 power, as is required for centripetal forces on drops to remain constant as animals grow. An important consideration in this process is the looseness of the skin with respect to the body, whose presence increases the peak speed and acceleration of their fur. The energy expenditure and remaining water moisture content of self-drying mammals is estimated. | |
| Jifeng Hu (University of Minnesota), Qixuan Wang (University of Minnesota) | Low Reynolds number swimming models of cell blebbing |
| Abstract: Plasma membrane blebs are dynamic cytoskeleton-regulated cell protrusions that have been implicated in apoptosis, cytokinesis, and cell movement. A variety of theoretical and experimental results support the hypothesis that nonapoptotic membrane blebbing plays a central role for cell migration and cancer cell invasion. For cancer cells crawling through a 3D matrix, there are two morphologically distinguished modes of invasion: one that appears as a mesenchymal cell movement that relies on proteolytic degradation of the surrounding matrix and another that adopts a rounded, more amoeboid mode of motility that frequently is accompanied by cell blebbing. Here we will focus on the latter mode--cell migration through a 3D matrix by cell blebbing. To date, because of the limitation of experimental systems, most mechanisms governing plasma membrane blebbing are derived from 2D standard cell cultures that display blebbing under certain conditions. For example, much has been done for blebbing cells crawling on a substrate by adhesion. When lifted to 3D environment, the mechanisms may be totally different, and in the absence of interaction between the cell and the extracellular matrix, we now come to the classic physical problem: swimming in low Reynolds number fluid. One possible propulsive mechanism in a low Reynolds number environment is cyclic deformation of the cell membrane. Two of the most important biological phenomena related to this cyclic cell shape deformation are the observed shape oscillations and cell blebbing. The former one may be well generalized to a single swimming sphere at low Reynolds number that exerts self-propulsion by means of small amplitude, high-frequency waves over the surface. However, for the cell blebbing problem, one sphere model may not be adequate. Instead, a minimal model may comprise several connecting spheres that can exchange mass among them. In the poster, we will first present a brief review of fundamental theories of swimming at low Reynolds number, together with some previous models. Next we will advance several of my models and discuss their properties. | |
| Pieter Jan Antoon Janssen (University of Wisconsin) | Flagellar bundling |
| Abstract: We numerically investigate the bundling between flagella. For this, we consider two flexible helices next to each other. Each helix is modeled as several prolate spheroids connected at the tips by springs. On the first spheroid, a constant torque is applied. Torsion springs at the connections provide bending and twisting resistance. Hydrodynamic interactions are incorporated via a modified non-singular Stokeslet. Additionally, there is a repulsive force and torque, based on the Gay-Berne potential to prevent crossing of the flagella. Our results provide some insights in the details of the bundling process. In the initial stage, rotlet interactions between the rotating helices ensures that both deflect each other. Due to the end point fixation, this deflection combined with the rotlet interaction leads to the flagella rotating around each other. Longer simulations show that the tips of a flagella pair only rotate about once around each other, in contrast with a more complicated entwinement suggested before. Flagella closer together bundle faster. | |
| Sunghwan (Sunny) Jung (Virginia Polytechnic Institute and State University) | Paramecium swimming near a wall |
| Abstract: Most micro-organisms often swim in a variety of complex environments as their natural habitat. For instance, Paramecium tend to congregate and swim near the boundaries. We investigate the locomotion of Paramecium in confined geometries while comparing its motion in the un-bounded fluid. A modified theoretical model based on Taylor’s sheet is developed to study the boundary effect on its motion. During experiments, we introduce Paramecium in capillary tubes of different sizes and measure the influence of the tube diameter on the swimming velocity. The data from the experiments is compared with the theoretical model to test its validity and understand the ciliary locomotion of organisms in a confined channel. | |
| Eva Kanso (University of Southern California) | Passive locomotion in unsteady flows |
| Abstract: The passive locomotion of a body placed in the flow of periodically-generated vortices is studied. This work is motivated by recent experimental evidence that live and dead trout exploit the vortices in the wake of an oscillating cylinder to swim upstream. We consider a simple model of a rigid body interacting dynamically with point vortices introduced periodically into the flow to emulate the shedding of vortices from an external source. We show the existence of periodic solutions where the body `swims' passively against the flow by extracting energy from the ambient vortices. We also find solutions where the body holds station in the incoming wake. However, for bodies of elongated geometries, rotational instabilities may hinder their motion. We propose active feedback control strategies to overcome these instabilities. (This is joint work with my graduate student Babak G. Oskouei) | |
| Scott David Kelly (University of North Carolina - Charlotte) | Idealized modeling of planar fishlike swimming for motion control |
| Abstract: Models for aquatic locomotion generally seek to balance fidelity and scope with analytical or computational tractability. When the goal in model development is a platform for model-based feedback control design, analytical structure is essential to provide a point of access for most current design techniques, but some fidelity may be sacrificed as long as the scope of the model encompasses the range of situations under which control will be applied. This talk will describe a model for simplified fishlike swimming based on the Hamiltonian equations governing the interaction of a free deformable body with a system of point vortices in a planar ideal fluid. The use of this model in designing motion-control strategies for a biologically inspired robotic vehicle will be discussed, with a particular focus on the realization of energy-efficient gaits for solitary swimming and energy-harvesting methods for controlled schooling. | |
| Jeff Randall Knisley (East Tennessee State University) | Learning by investigation: A context for integrating statistics, mathematics, and computation |
| Abstract: No Abstract | |
| Jeff Randall Knisley (East Tennessee State University) | The Integration of … modeling, statistics, computation and calculus at East Tennessee State University |
| Abstract: No Abstract | |
| Mimi Koehl (University of California, Berkeley) | Effects of ambient water flow on locomotion |
| Abstract: Keyword: waves, turbulence, walking, swimming, larvae, crabs Abstract: Turbulent ambient currents and waves in marine habitats impose forces on organisms. The locomotory performance of organisms swimming in the water column and moving across the substratum is affected by environmental fluid dynamic forces. Therefore, the functional significance of morphological features and kinematics of locomoting organisms can best be understood if studied under the range of flow conditions they experience in their natural habitats. Three examples will be discussed: 1) Many bottom-dwelling marine animals produce microscopic larvae that are dispersed to new sites by ambient water currents. How do these weakly-swimming larvae carried in wavy, turbulent water flow manage to land on the sea floor in suitable habitats? 2) Horseshoe "crabs", Limulus polyphemus, gather in the surf zone to mate. How can they crawl in the waves without being pushed in the wrong direction or overturned by the back-and-forth flow of the waves? 3) Shore crabs, Grapsus tenuicrustatus, also live on wave-swept shores, where they spend part of their time in air and part underwater. How do they run in air (where gravity predominates) versus underwater (where hydrodynamic forces are important), and what happens when a wave hits? | |
| Arshad Kudrolli (Clark University) | Collective diffusion of self-propelled rods |
| Abstract: We perform physical experiments with self-propelled rods which undergo directed random motion on a substrate motivated by collective behavior in various active living systems such as bacterial colonies and hoofed animal herds. In particular, we examine the persistent random motion of rods as a function of the area fraction ϕ and study the effect of steric interactions on their diffusion properties. Self-propelled rods of length l and width w are fabricated with a spherocylindrical head attached to a beaded chain tail, and show directed motion on a vibrated substrate. The mean square displacement on the substrate grows linearly with time t for ϕ<w/l, before displaying caging as ϕ is increased, and stops well below the close packing limit. Direction autocorrelations decay progressively slower with ϕ. We describe the observed decrease of SPR propagation speed c(ϕ) with a tube model [1]. Further, we discuss the observed collective behavior such as aggregation at the boundaries and swirling motion which arise because of physical interactions between individuals [2]. [1]: "Concentration Dependent Diffusion of Self-Propelled Rods," A. Kudrolli, Phys. Rev. Lett. 104, 088001 (2010). [2]: "Swarming and swirling in self-propelled granular rods," A. Kudrolli, G. Lumay, D. Volfson, and L. Tsimring, Phys. Rev. Lett. 100, 058001 (2008). | |
| Amy Lang (University of Alabama) | Experimental studies to reveal the boundary layer control mechanisms of shark skin |
| Abstract: Same abstract as the contributed talk. | |
| Amy Lang (University of Alabama) | Experimental studies to reveal the boundary layer control mechanisms of shark skin |
| Abstract: This experimental work is investigating a new and unique passive boundary-layer separation control methodology derived from shark skin, functioning at the micro-scale level. The skin and denticles (scales) of sharks represent over 400 million years of natural selection for swimming efficiency. Evolutionary adaptations in the morphological structure of the shark skin, to develop unique boundary layer control (BLC) mechanisms, stem from the ensuing decrease in drag, probable increase in fin performance (e.g. thrust production) and enhanced turning agility for fast-swimming sharks. Shark denticles have been documented to be capable of bristling. A bristled microgeometry mimicking shark skin results in the formation of a system of interlocking embedded cavity vortices. Three mechanisms have been hypothesized which lead to boundary layer control via deterrence of separation over the shark skin. The first mechanism is the formation of embedded micro-vortices that increase momentum in the very near-wall region due to the resulting partial slip condition. The second mechanism is that the preferential flow direction inherent in the surface geometry inhibits global flow reversal and leads to passive actuation via denticle bristling. The third mechanism involves turbulence augmentation, or an additional energizing of flow, in the near-wall region and cavities, leading to higher partial slip velocities. The study involves engineers, working together with biologists Dr. Phil Motta (University of South Florida) and Dr. Robert Hueter (Mote Marine Laboratory), to fully comprehend the morphological bristling mechanism of shark denticles. Initial results for scale angles and morphology on hammerhead and shortfin mako sharks along with flow measurements over shark skin models embedded in a turbulent boundary layer will be presented. | |
| Ronald G. Larson (University of Michigan) | Swimming dynamics of a run-and-tumble bacterium with helical flagella |
| Abstract: To study the hydrodynamics of swimming of multi-flagellated bacteria, such as Escherichia coli, we develop a simulation method using a bead-spring model to account for the hydrodynamic and the mechanical interactions between multiple flagella and the cell body, the reversal of the rotation of a flagellum in a tumble and associated polymorphic transformations of the flagellum. This simulation reproduces the experimentally observed behaviors of E. coli, namely, a three-dimensional random-walk trajectory in run-and-tumble motion and steady clockwise swimming near a wall. Here we show using a modeled cell that the polymorphic transformation of flagellum in a tumble facilitates the reorientation of the cell, and that the time-averaged flow field near a cell in a run has double-layered helical streamlines. Moreover, the instantaneous flow field, which is strongly time-dependent, is more than 10-fold larger in magnitude than the time-averaged flow, large enough to affect the migration behavior of surrounding chemoattractants, with the Péclet number for these molecules being larger than one near a swimming cell. | |
| Eric Lauga (University of California, San Diego) | Symmetry-breaking in small-scale locomotion: Synchronization and efficiency optimization |
| Abstract: Keywords: Low Reynolds number; locomotion; symmetry-breaking; synchronization; cilia; optimization Abstract: Fluid mechanics plays a crucial role in many cellular processes. One example is the external fluid mechanics of motile cells such as bacteria, spermatozoa, algae, and essentially half of the microorganisms on earth. The most commonly-studied organisms exploit the bending or rotation of a small number of flagella (short whip-like organelles, length scale from a few to tens of microns) to create fluid-based propulsion. As a difference, Ciliated microorganisms swim by exploiting the coordinated surface beating of many cilia (which are short flagella) distributed along their surface. In this talk, we consider two instances of symmetry-breaking arising in small-scale locomotion. First, we address the observed flagellar synchronization between eukaryotic cells swimming in close proximity. By using a two-dimensional model, we show analytically and computationally that synchronization between co-swimming cells can be driven by hydrodynamic interactions alone if there is a geometrical symmetry-breaking displayed by the their flagellar waveforms. In a second part, we pose the problem of ciliary propulsion as an optimization problem. Specifically, for a spherical body, we compute numerically and theoretically the time-periodic tangential deformations of the body surface which leads to swimming of the body with optimal hydrodynamic efficiency. We show that this calculation leads to symmetry-breaking in the surface actuation, and the emergence of waves, reminiscent of the metachronal waves displayed by real biological cilia. | |
| David Lentink (Wageningen University and Research Center) | Leading-edge vortices elevate lift of autorotating plant seeds |
| Abstract: Joint work with W. B. Dickson2, J. L. van
Leeuwen1, and M. H. Dickinson2.
As they descend, the autorotating seeds of maples and some
other trees generate unexpectedly high lift, but how they
attain this elevated
performance is unknown. To elucidate the mechanisms
responsible, we measured the three-dimensional flow around
dynamically scaled models of maple and hornbeam seeds. Our
results indicate that these seeds attain high lift by
generating a stable leading-edge vortex (LEV) as they descend.
The compact LEV, which we verified on real specimens, allows
maple seeds to remain in the air more effectively than do a
variety of nonautorotating seeds. LEVs also explain the high
lift generated by hovering insects, bats, and possibly birds,
suggesting that the use of LEVs represents a convergent
aerodynamic solution in the evolution of flight performance in
both animals and plants.
1 Experimental Zoology Group, Wageningen University, 6709 PG
Wageningen, Netherlands.
2 Bioengineering and Biology, California Institute of
Technology, Pasadena, CA 91125, USA.
Science 12 June 2009: Vol. 324. no. 5933, pp. 1438 - 1440 DOI: 10.1126/science.1174196 http://www.sciencemag.org/cgi/content/abstract/324/5933/1438 |
|
| Zhi (George) Lin (University of Minnesota) | A hydrodynamic model of biogenic mixing |
| Abstract: We consider the stirring of an inviscid or Stoksian fluid caused by the locomotion of bodies through it. The swimmers are approximated by non-interacting cylinders or spheres moving steadily along straight lines. We find the displacement of fluid particles caused by the nearby passage of a swimmer as a function of an impact parameter. We use this to compute the effective diffusion coefficient from the random walk of a fluid particle under the influence of a distribution of swimming bodies. We find good agreement between theoretical results with simulations and identifies regions of dominant contribution to mixing. Also It is shown that Stokesian squirmers yields a great boost in effective diffusivity. Joint work with Jean-Luc Thiffeault and Stephen Childress. | |
| Michael Ludkovski (University of California, Santa Barbara) | Optimal switching problems and applications in energy finance |
| Abstract: Optimal Switching models are concerned with sequential decision making where the controller has a finite number of policy regimes. Such models arise naturally in pricing of energy assets, including tolling agreements for electricity production, natural gas storage facilities, carbon emission permits, etc. I will discuss the general mathematical structure of optimal switching models, including their relation to multiple stopping problems. I will then describe some work in progress with R. Sircar on exploration control in exhaustible resource management. In the second part of the talk, I will focus on numerical methods and implementation issues for optimal switching, especially simulation tools that extend Monte Carlo methods for American options. | |
| Enkeleida Lushi (New York University) | The turning-particle chemotaxis model in suspensions of micro-swimmers |
| Abstract: Suspensions of micro-swimmers display complex dynamics in response to chemical substances. They preferentially move and orient toward gradients of such a chemo-attractant in a process called chemotaxis. We present a new chemotaxis model based on the kinetic theory of swimmer suspensions in low Reynolds number fluid that is coupled to the chemo-attractant dynamics. The chemotactic response is included as a phenomenon due to fluxes in the individual swimmer. Entropy and linear stability analysis indicates a chemotaxis-induced instability at finite wavelengths for pusher and puller bacteria alike and regardless of their shape ratio. Nonlinear dynamics are investigated using numerical simulations of the full system in two dimensions. We observe aggregation in suspensions of pullers and mixing in suspensions of pushers. | |
| Hassan Masoud (Georgia Institute of Technology) | Low Reynolds number aerodynamics of flexible flapping wings at resonance |
| Abstract: Using three-dimensional computer simulations, we examine hovering aerodynamics of flexible planar wings oscillating at resonance. We model flexible wings as tilted elastic plates whose sinusoidal plunging motion is imposed at the plate root. Our simulations reveal that large-amplitude, resonance oscillations of elastic wings drastically enhance aerodynamic lift and efficiency of low-Reynolds-number plunging. Driven by a simple sinusoidal stroke, flexible wings at resonance generate a hovering force comparable to that of small insects that employ a very efficient, but much more complicated stroke kinematics. Our results indicate the feasibility of using flexible wings driven by a simple harmonic stroke for designing efficient microscale flying machines. | |
| Laura Ann Miller (University of North Carolina) | Tradeoffs between swimming and feeding: The curious case of the upside down jellyfish |
| Abstract: When studying the mechanics of swimming and flying, engineers and scientists often pose questions in the form of optimization strategies. This approach has been quite useful when trying to understand the kinematics of insect flight or the frequency that fish beat their tails. Understanding the kinematics and the morphology of animals that multitask is not as straightforward. For example, the elaborate tails of male guppy fish are likely not optimized for swimming efficiency or speed, but they do increase the likelihood of attracting a mate. In this presentation, the fluid dynamics of the currents generated by the upside down jellyfish *Cassiopea sp. *will be presented in the context of swimming and feeding. Medusae of this genus are unusual in that they typically rest upside down on the ocean floor and pulse their bells to generate feeding currents, only swimming when significantly disturbed. The pulsing kinematics and fluid flow around these upside-down jellyfish is investigated using a combination of videography, digital particle image velocimetry, and numerical simulation. There is no evidence of the formation of a train of vortex rings as observed in oblate medusae exhibiting rowing propulsion. Instead, significant mixing occurs around and directly above the oral arms and secondary mouths. Numerical simulations using the immersed boundary method agree with experimental measurements and suggest that the presence of porous oral arms induce net horizontal flow towards the bell and the absence of coherent vortex structures. The implications of these results on feeding and swimming efficiency will be discussed. | |
| Richard D. Neidinger (Davidson College) | Automatic differentiation using MATLAB OOP |
| Abstract: No Abstract | |
| Hoa Nguyen (Tulane University) | Fluid dynamics of phytoplankton with spines in linear shear flow |
| Abstract: Spines and other thin projections from cell surfaces literally expand the volume of fluid with which a cell interacts and may provide effective levers on which the flow can act. We use an immersed boundary formulation to solve the coupled phytoplankton-fluid system to predict the 3D trajectories of the cells within a background flow. We examine the effect of spines on the period of rotation of phytoplankton in linear shear flow. | |
| Clara O'Farrell (California Institute of Technology) | Lagrangian coherent structures in the wake on an anguilliform swimmer |
| Abstract: Joint work with John O. Dabiri.
We study the dynamics and stability of the vortex wakes of
swimming
fish, with the aim of quantifying the role of vortex dynamics
in
determining the
performance and limitations of fish-like swimmers (cf the work
on
vortex rings and their relation to the performance of jetting
swimmers
by Gharib et al 1998, Krueger and Gharib 2003, Linden and
Turner 2004,
Dabiri et al 2010). In order to enable studies of the dynamics
and
stability of these vortex flows, we analyze wake kinematics
using
Lagrangian coherent structures (LCS) (Haller 2000, 2001). We
computed
FTLE field in both two and three dimensions to extract the 2D
and 3D
LCS in the wake of a numerically-simulated, self-propelled
anguilliform swimmer (Kern and Koumoutsakos 2006). The
attracting and
repelling LCS in the flow were found to clearly bound the
vortices
shed by the swimmer (Green et al 2010, Shadden et al 2006), and
the
shedding of two vortex ring per cycle and formation of a double
row of
vortex rings in the wake was observed. Fluid transport in the
wake was
studied using passive drifters seeded into the flow, and we
observed
the formation of slender lobes along the length of the swimmer,
which
"pull" fluid into the wake such that fluid particles inside
each of
these lobes are entrained into separate vortices in the
swimmer's
wake. Changes in the LCS in a flow are known to correspond to
changes
in the structure and dynamics of the underlying vortices (Green
et al
2010, O'Farrell and Dabiri 2010), thus future work will focus
on
analysis of changes in LCS structure as indicators of changes
in the
dynamics and stability of the underlying vortex flow.
References: 1) M. Gharib. E. Rambod, and K. Shariff. A universal time scale for vortex ring formation. J. Fluid Mech., 360:121-140, 1998. 2) P. S. Krueger and M. Gharib. The significance of vortex ring formation to the impulse and thrust of a starting jet. Phys. Fluids. 15:1271-81, 2003. 3) P. F. Linden and J. S. Turner. 'Optimal' vortex rings and aquatic propulsion mechanisms. Proc. R. Soc. B, 271:647-53, 2004. 4) J. O. Dabiri, S. P. Colin, K. Katija, and J. H. Costello. A wake-based correlate of swimming performance and foraging behavior in seven co-occurring jelly fish species. J. Exp. Biol., 13 (8): 1217-25, 2010. 5) G. Haller. Finding finite-time invariant manifolds in two-dimensional velocity fields. Chaos, 10:99, 2000. 6) G. Haller. Distinguished material surfaces and coherent structures in three-dimensional flows. Physica D, 149:1851–61, 2001. 7) S. Kern and P. Komoutsakos. Simulations of optimized anguilliform swimming. J. Exp. Biol., 209:4841–57, 2006. 8) M. A Green, C. W. Rowley, and A. J. Smits. Using hyperbolic Lagrangian Coherent Structures to investigate vortices in bio-inspired fluid flows. Chaos, 20:017509, 2010. 9) S. .C. Shadden, J. O. Dabiri, and J. E. Marsden. Lagrangian analysis of fluid transport in empirical vortex ring flows. Phys. Fluids., 18:047105, 2006. 10) C. O’Farrell and J. O. Dabiri. A Lagrangian approach to identifying vortex pinch-off. Chaos, 20:017513, 2010. |
|
| Sarah Olson (Tulane University) | An integrative model of sperm motility |
| Abstract: Calcium (Ca2+) dynamics in mammalian sperm are directly linked to motility. These dynamics depend on diffusion, nonlinear fluxes, Ca2+ channels specific to the sperm flagellum, and other signaling molecules. The goal of this work is to couple Ca2+ dynamics to a mechanical model of a motile sperm within a viscous, incompressible fluid. We will present recent progress on elements of this integrative model. | |
| Yizhar Or (Technion-Israel Institute of Technology) | Dynamic and stability of low-Reynolds-number swimming near a wall |
| Abstract: The dynamics of a simple micro-swimmer model near a no-slip wall is formulated and analyzed. The model consists of an assemblage of spheres where propulsion is generated by rotation of the spheres. The geometric structure of the dynamics is analyzed, and stability properties of translation parallel to the wall are derived. The results are demonstrated through simulations and motion experiments on a macro-scale robotic swimmer in viscous fluid. I will also present results of a recent joint work with Darren Crowdy on utilizing complex analysis to formulate an explicit two-dimensional dynamic model of a treadmilling swimmer near a wall, and discuss ongoing work on extension to shape-changing controlled swimmers such as Purcell’s three-link swimmer model near a wall. | |
| Neelesh A. Patankar (Northwestern University) | The balance between drag and thrust in undulatory propulsion and implications on balistiform and gymnotiform locomotion |
| Abstract: The underlying basis of how swimming organisms propel themselves forward against resistance from the surrounding fluid has been studied for almost a century. Many traditional analyses have centered on decomposing the total force on a swimming body into drag and thrust. The validity of this decomposition has been controversial since it is not expected to hold for finite Reynolds number swimming. Yet, we report an approximate drag-thrust decomposition for one class of undulatory propulsors - the ribbon fins of gymnotiform and balistiform swimmers. The conclusion is based on high-resolution numerical simulations to calculate the force acting on an undulatory ribbon fin of the black ghost knifefish (Apteronotus albifrons). We show that drag-thrust decomposition is possible because there is very little spatial overlap between the drag-associated flow field and the thrust-associated flow field. This decomposition is different from the decomposition due to Lighthill that has been widely discussed in literature over the past four decades. The results above are used to interrogate balistiform and gymnotiform swimmers that move by undulating elongated ribbon fins attached to a body that is held nearly rigid. The question of whether this evolutionary adaptation may have a hydrodynamic basis was considered by Lighthill and Blake. They proposed, based on Lighthill's elongated body theory, that the ability of the ribbon fin to generate thrust is enhanced by the presence of a rigid body. This mechanism, commonly referred to as “momentum enhancement”, has been widely discussed in literature over the past two decades. Our results show that there is no momentum enhancement. This is explained by noting that the dominant mechanism of thrust generation by ribbon fins is different from that assumed in the theoretical approach of Lighthill. Nevertheless, many features of the morphology of gymnotiform and balistiform swimmers do appear to have a hydrodynamic basis. Specifically, it is found that the observed height of the ribbon fin, for a given body size, is such that the mechanical energy spent per unit distance, i.e., the mechanical cost of transport (COT) is optimized. Many open issues remain. First, it remains to be explored whether the drag-thrust decomposition can be extended to anguilliform and carangiform swimming. Second, while we have found optimal fin height for gymnotiform and balistiform swimmers for a given body size, it is still unclear whether keeping part of the body rigid is hydrodynamically better compared to a mode of swimming where the entire body is undulated (like in anguilliform swimming). Preliminary results interrogating these aspects will be discussed. | |
| Neelesh A. Patankar (Northwestern University) | Drag-thrust decomposition and optimality in swimming |
| Abstract: A novel constraint-based formulation to simulate self-propulsion has been developed. The numerical approach is used to obtain the following results. A drag-thrust decomposition is found in the propulsion by undulatory ribbon fins of gymnotiform and balistiform swimmers. The height of the ribbon fin of a gymnotiform swimmer seems optimized with respect to the mechanical Cost of Transport (COT). This can be explained based on the drag-thrust decomposition. Optimization based on COT is also found to work in case of pectoral fin movements of larval zebrafish. | |
| Neelesh A. Patankar (Northwestern University) | How does muscle forcing lead to translational motion during undulatory swimming? |
| Abstract: A set of linearized equations of motion, using a spring-link model, is derived for undulatory swimming. The transverse translational and rotational equations of motion give natural deformation modes of the body which feeds energy to the axial translational motion. It is found, consistent with prior work, that anisotropy in drag is required to enable swimming. The first three deformation modes are excited the most and consequently contribute most to the forward swimming velocity. Typical imposed frequencies, for the case of eel considered here, are found to be lower than the lowest natural frequency of the deformation modes of the body. Thus, lower modes are found to be more easily triggered by the muscle forcing. | |
| Jifeng Peng (University of Alaska) | A vortex sheet model of jellyfish swimming |
| Abstract: Jellyfish represents a group of animals that have an axisymmetric body and swim by periodically contracting the body and generating axisymmetric jets and vortices. In this study, jellyfish is modeled as an axisymmetric swimmer with a thin, flexible body. The wake vortex generated by the swimmer is approximated by a circular vortex sheet. Using this approach, the fluid dynamics and characteristics of the fluid wake are investigated. Swimming performance is also evaluated to quantify the effects of body shape and swimming modes. The study provides insights on fluid dynamical basis of jellyfish swimming and how certain body kinematics of jellyfish enhance the swimming performance. | |
| Leif Gibbens Ristroph (Cornell University) | How flying insects keep stable, up-right, and on-course |
| Abstract: For animals and machines alike, maintaining balance during flight is a crucial and demanding task. The need for airplane flight stability led to a schism between aviators who sought built-in, or passive, stability and those who emphasized the need for active controls. How has this tension played out for the first flyers, the insects? Our group combines table-top experiments on fruit flies and lap-top physically-based simulations to study insect flight stability and control. First, we show how directly perturbing the flight of insects unlocks the physics of flapping-wing flight and also reveals some remarkable properties of these critters’ sensory-neural systems. Second, we argue that these sophisticated fight control systems are largely sculpted by the physical requirement of stability. This idea leads to a general theory that links the body plans of insects with the controllers that must suppress the growth of instabilities, and we apply this theory to a variety of modern insects, flapping-wing robots, and even the prehistoric insects that were the first to take to the air. | |
| Leif Gibbens Ristroph (Cornell University) | Fruit flies modulate passive wing pitching to generate in-flight turns |
| Abstract: Flying insects execute aerial maneuvers through subtle manipulations of their wing motions. Here, we measure the free-flight kinematics of fruit flies and determine how they modulate their wing pitching to induce sharp turns. By analyzing the torques these insects exert to pitch their wings, we infer that the wing hinge acts as a torsional spring that passively resists the wing’s tendency to flip in response to aerodynamic and inertial forces. To turn, the insects asymmetrically change the spring rest angles to generate asymmetric rowing motions of their wings. Thus, insects can generate these maneuvers using only a slight active actuation that biases their wing motion. | |
| David Saintillan (University of Illinois at Urbana-Champaign) | Emergence of coherent structures and large-scale flows in biologically active suspensions |
| Abstract: Active particle suspensions, of which a bath of swimming bacteria is a paradigmatic example, are characterized by complex dynamics involving strong fluctuations and large-scale correlated motions. These motions, which result from the many-body interactions between particles, are biologically relevant as they impact mean particle transport, mixing and diffusion, with possible consequences for nutrient uptake and the spreading of bacterial infections. To analyze these effects, a kinetic theory is presented and applied to elucidate the dynamics and pattern formation arising from mean-field interactions. Based on this model, the stability of both aligned and isotropic suspensions is investigated. In aligned suspensions, an instability is shown to always occur at finite wavelengths, in agreement with previous predictions and simulations. In isotropic suspensions, a new instability for the active particle stress is also found to exist, in which shear stresses are eigenmodes and grow exponentially at low wavenumbers, resulting in large-scale fluctuations in suspensions of pusher particles above a threshold concentration. Numerical simulations of the kinetic equations are also performed, and applied to study the long-time nonlinear dynamics, which are characterized by transient particles clusters that form and break up in time, as well as complex chaotic flows correlated on the system size. The predictions from the kinetic model are then tested using direct particle simulations accounting for multi-body hydrodynamic interactions between model microswimmers: these simulations confirm the existence of a transition to correlated motions and large-scale flows above a certain volume fraction, as demonstrated by a sharp increase in density fluctuations, velocity correlation lengths, and mean particle velocities. The effect of this transition on fluid mixing is also investigated, and the emergence of large-scale flows is shown to significantly enhance convective mixing. To conclude, consequences of particle activity on the effective rheology of the suspensions are briefly discussed. We demonstrate that the rheology is characterized by much stronger normal stress differences than in passive suspensions, and that tail-actuated swimmers result in a strong decrease in the effective shear viscosity of the fluid. | |
| David Saintillan (University of Illinois at Urbana-Champaign) | Instability regimes in flowing suspensions of swimming micro-organisms |
| Abstract: Joint work with Amir Alizadeh Pahlavan. The effects of an external shear flow on the dynamics and pattern formation in a dilute suspension of swimming micro-organisms are investigated using a linear stability analysis and three-dimensional numerical simulations, based on the kinetic model previously developed by Saintillan and Shelley [``Instabilities, pattern formation, and mixing in active suspensions,'' Phys.~Fluids textbf{20}, 123304 (2008)]. The external shear flow is found to damp the instabilities that occur in these suspensions by controlling the orientation of the particles. We demonstrate that the rate of damping is direction-dependent: it is fastest in the flow direction, but slowest the direction perpendicular to the shear plane. As a result, transitions from three- to two- to one-dimensional instabilities are observed to occur as shear rate increases, and above a certain shear rate the instabilities altogether disappear. The density patterns and flow structures that arise at long times in the suspensions are also analyzed from the numerical simulations using standard techniques from the literature on turbulent flows. The imposed shear flow is found to have an effect on both density patterns and flow structures, which typically align with the extensional axis of the external flow. The disturbance flows in the simulations are shown to exhibit similarities with turbulent flows. However, the flows described herein are also significantly different owing to the strong predominance of large scales, as exemplified by the very rapid decay of the kinetic energy spectrum, an effect further enhanced after the transitions to two- and one-dimensional instabilities. | |
| William W. Schultz (University of Michigan) | Tutorial: Introduction to fish locomotion |
| Abstract: No Abstract | |
| Michael J. Shelley (New York University) | Snakes crawling and worms pushing on surfaces |
| Abstract: Many creatures navigate their world through undulation – the unidirectional propagation of bending waves along the body. Undulatory locomotion in a fluid is well studied, at least at low Reynolds number. There, undulation breaks time-reversal symmetry and an organism can locomote by using the anisotropy of fluid drag with respect to body shape. On land, limbless creatures such as snakes also use undulation to traverse "featureless" surfaces with relative ease. I will discuss theoretical models and experimental observations that illustrate how snakes accomplish this by using the frictional anisotropy provided their scales, as well as selective body lifting. To provide another example of an undulator in action, I will discuss some recent modeling and experiments that show how swimming nematodes interact with microfluidic environments filled with immovable obstacles. | |
| Jian Sheng (University of Minnesota) | Shear induced three-dimensional swimming characteristics of Dunaliella Primolecta in a microfluidic channel |
| Abstract: Joint work with Ahammed Anwar Chengala. The effects of flow shear on the swimming behavior of halophilic microalga Dunaliella primolecta is examined by an in-house developed digital holographic microscopy and microfluidic channel. To investigate the shear-induced response, the algal culture is injected into a channel with a cross section of 3.5 x 0.4 mm at several fluid flow rates, generating shear rates that are consistent with the energy dissipation levels in estuaries, coastal waters, and lakes. We quantified the kinematics of D. primolecta by the estimates of 3D swimming velocities, auto-correlation swimming velocities, kinetic spectral densities and swimming-induced dispersion. Preliminary analysis indicate that swimming velocities and dispersion were strongly mediated by local fluid shear rates. On-going analysis is aimed to reveal scaling parameters and functional relationships among small-scale fluid motion and microorganism motility characteristics. | |
| Jian Sheng (University of Minnesota) | Hydrodynamic surface interactions of Escherichia coli at high concentration |
| Abstract: Joint work with Harsh Agarwal. There is growing interest in understanding microscale biophysical processes such as the kinematics and dynamics of swimming microorganisms, and their interactions with surrounding fluids. Statistically robust experimental observations on swimming characteristics of bacteria in a wall bounded shear flow are crucial for understanding cell attachment and detachment during the initial formation of a biofilm. In this paper, we integrate microfluidics and holography to measure 3-D trajectories of a model bacteria, Escherichia coli (AW405), subjecting to a carefully controlled shear flow. Experiments are conducted in a straight mchannel of 40x3x0.2 mm with shear rates up to 200 (1/s). Holographic microscopic movies recorded at 40X magnification and 15 fps are streamed real-time to a data acquisition computer for an extended period of time (>5 min) that allows us to examine long term responses of bacteria in the presence of flow shear. Three-dimensional locations and orientations of bacteria are extracted with a resolution of 0.185 μm in lateral directions and 0.5 μm in the wall normal direction. The 3-D trajectories are tracked by an in-house developed particle tracking algorithm. Over three thousand of 3D trajectories over a sample volume of 380×380×200 μm have been obtained for our control (quiescent flow). Swimming characteristics, i.e. swimming velocities, Lagrangian spectra, dispersion coefficients, is extracted to quantify the cell-flow and cell-wall interactions. Preliminary results have revealed that near wall hydrodynamic interactions, i.e. swimming in circles and reducing lateral migration, cause the reduction in wall-normal dispersion, subsequently are responsible for wall trapping and prompting attachment. On-going analysis is to understand the effects of shear flow on such a mechanism. | |
| Henry Shum (University of Oxford) | A boundary element approach to bacteria approaching boundaries |
| Abstract: Interest is growing rapidly in understanding the swimming behaviour of micro-organisms near solid surfaces. This is an important aspect of biofilm initiation and has significant implications for the shipping, water and medical industries. Through boundary element methods, we can accurately simulate hydrodynamic interactions between a single bacterium and solid surfaces even when the separation distance is small. Past experiments and analytical arguments have shown that bacteria propelled by a flagellum tend to follow curved trajectories rather than straight when swimming near a surface. Our simulations verify this and we find that there can also be a stable separation from the wall, leading to circular orbits. We show that parameters controlling the shape of the swimmer can significantly influence this equilibrium distance. Hence, this model suggests that certain "designs" of bacteria accumulate at boundaries while others do not. | |
| Ronnie Sircar (Princeton University) | Dynamic oligopolies and differential games. I |
| Abstract: We discuss Cournot and Bertrand models of oligopolies, first in the context of static games and then in dynamic models. The static games, involving firms with different costs, lead to questions of how many competitors actively participate in a Nash equilibrium and how many are sidelined or blockaded from entry. The dynamic games lead to systems of nonlinear partial differential equations for which we discuss asymptotic and numerical approximations. Applications include competition between energy producers in the face of exhaustible resources such as oil (Cournot); and markets for substitutable consumer goods (Bertrand). | |
| Ronnie Sircar (Princeton University) | Dynamic oligopolies and differential games. II |
| Abstract: No Abstract | |
| Saverio Eric Spagnolie (University of California, San Diego) | Swimming at low and intermediate Reynolds number |
| Abstract: A number of findings from recent works are presented. At intermediate Reynolds number, where both inertia and viscous dissipation are important, we have observed through experiment and numerical simulation a number of counter-intuitive behaviors in a flapping wing system with passive pitching [joint work with L. Moret, M. Shelley, and J. Zhang]. The behavior of shape-changing bodies are also considered, along with consequences on vortex shedding and vortex-interaction dynamics, driven either by a recoil force from internal oscillations (recoil) or by an external background flow (hovering) [joint work with M. Shelley, S. Childress, and T. Tokieda]. Other problems are investigated at low Reynolds number, where viscous dissipation dominates inertial effects. These include the effects of elastic bending costs on the optimal swimming shape of slender bodies, the locomotion of bilayer vesicles, and the swimming behavior and efficiency of a fluid-extruding body ("jet propulsion") at zero Reynolds number [joint work with E. Lauga and A. Evans]. | |
| Saverio Eric Spagnolie (University of California, San Diego) | Jet propulsion without inertia |
| Abstract: A body immersed in a highly viscous fluid can locomote by drawing in and expelling fluid through pores at its surface. We consider this mechanism of jet propulsion without inertia in the case of spheroidal bodies, and derive both the swimming velocity and the hydrodynamic efficiency. Elementary examples are presented, and exact axisymmetric solutions for spherical, prolate spheroidal, and oblate spheroidal body shapes are provided. In each case, entirely and partially porous (i.e. jetting) surfaces are considered, and the optimal jetting flow profiles at the surface for maximizing the hydrodynamic efficiency are determined computationally. The maximal efficiency which may be achieved by a sphere using such jet propulsion is 12.5%, a significant improvement upon traditional flagella-based means of locomotion at zero Reynolds number. Unlike other swimming mechanisms which rely on the presentation of a small cross section in the direction of motion, the efficiency of a jetting body at low Reynolds number increases as the body becomes more oblate, and limits to approximately 162% in the case of a flat plate swimming along its axis of symmetry. Our results are discussed in the light of slime extrusion mechanisms occurring in many cyanobacteria. (Joint work with E. Lauga) | |
| Wanda Strychalski (University of California, Davis) | A computational model of bleb formation |
| Abstract: Blebbing occurs when the cytoskeleton detaches from the cell membrane, resulting in the pressure-driven flow of cytosol towards the area of detachment and the local expansion of the cell membrane. Recent interest has focused metastatic cancer cells that use blebs for cell motility. We present a dynamic computational model of the cell that includes mechanics of and the interactions between the intracellular fluid, the actin cortex, and the cell membrane. The cortex is an active, elastic, permeable material, which moves with a velocity distinct from that of the background fluid. The Immersed Boundary Method is modified to account for the relative motion between the cortex and the fluid. The computational model is used to explore several hypotheses for bleb formation, and these simulations are compared to experimental results. Additionally, a pressure threshold for bleb initiation, which depends crucially on the constitutive law for the membrane, is predicted based on reduced analytic models. These predictions are further explored in the full computational model and identified with underlying cellular processes. | |
| Susan S. Suarez (Cornell University) | Unsolved problems in the locomotion of mammalian sperm |
| Abstract: In order to develop better methods for diagnosis and treatment of infertility, as well as safer contraceptives, more must be learned about how mammalian sperm move through the female reproductive tract. Crucial phases of mammalian sperm transport include passage through the cervix and uterotubal junction, storage of sperm in the oviductal storage reservoir, release from the reservoir, and location of the egg. There is some evidence for the existence of special passageways for sperm in the cervix, but this needs to be demonstrated and the mechanism of guiding sperm through the cervix needs to be elucidated. Passage of sperm through the uterotubal junction requires sperm to have certain proteins, but how these proteins function is not known. There is evidence that sperm must undergo motility hyperactivation in order to be released from the oviductal storage reservoir; however, the process is not understood. Finally, it is not clear whether there are chemotactic agents that emanate from the vicinity of the egg to modulate sperm flagellar beating patterns in order to guide them toward the egg. There are three main areas in which bioengineers can provide crucial help for elucidating these mysteries: (1) by developing a method for measuring and comparing sperm flagellar bending patterns, (2) by improving optical equipment for viewing the movement of sperm within the female reproductive tract, and (3) by developing chambers that mimic the physical environment of the tract so that molecular mechanisms that regulate sperm movement can be elucidated. USDA CSREES NRICGP 2008-35203-19031 and NIH 1RO3HD062471-01. | |
| Susan S. Suarez (Cornell University) | Distinct Ca2+ signaling pathways turn mouse sperm in opposite directions |
| Abstract: Joint work with Haixin Chang (Cornell University) . Hyperactivation, a swimming pattern used by mammalian sperm in the oviduct, is essential for fertilization. It is characterized by highly asymmetrical flagellar beating and an increase of cytoplasmic Ca2+. We observed that some mouse sperm swimming in the oviduct produce high-amplitude pro-hook bends (bends in the direction of the hook on the head) while others produce high-amplitude anti-hook bends. Switching direction of the high-amplitude bends could serve to re-direct sperm toward oocytes. Our objective was to test the hypothesis that different Ca2+ cell signaling pathways produce pro-hook and anti-hook patterns. In vitro, sperm that hyperactivated during capacitation (a process that prepares sperm for fertilization) swam using large pro-hook bends, which resulted from influx of Ca2+ through plasma membrane CatSper channels. The anesthetic procaine and the K+-channel blocker 4-Aminopyridine (4-AP) also each induced large pro-hook bends. In contrast, thimerosal, which triggers Ca2+ release from an intracellular Ca2+ storage site, induced large anti-hook bends. When capacitated sperm were treated with thimerosal, 90% switched from pro-hook to anti-hook bending. Sperm loaded with the fluorescent Ca2+ indicator Fluo-4 AM revealed that thimerosal initiated a Ca2+ increase at the base of the flagellum, while 4-AP initiated an increase in the principal piece of the flagellum. Proteins were extracted from sperm for examination of phosphorylation patterns induced by Ca2+ signaling. Procaine and 4-AP treatments phosphorylated threonine and serine residues of some proteins, whereas thimerosal treatment dephosphorylated some proteins. Tyrosine phosphorylation was unaffected. We concluded that pro-hook hyperactivation, associated with sperm capacitation, can be modulated by a distinct Ca2+ signaling system to re-direct sperm toward oocytes. NIH 1R03HD062471-01. | |
| Daniel See-Wai Tam (Massachusetts Institute of Technology) | Dynamics of passive flexible wings |
| Abstract: Seed dispersal is the means by which plants expand and colonize new areas. To maximize their range, some plants have developed elaborate gliding, spinning or tumbling winged seedpods, whose aerodynamics enable them to extend their flight time and range. Such winged seedpods are often light and thin, which generally decreases their surface loading and hence their rate of descent. As a consequence, they can be flexible. We are broadly interested in elucidating the role of flexibility in passive flight. The influence of flexibility on the flight of autorotating winged seedpods is examined through an experimental investigation of tumbling rectangular paper strips freely falling in air. Our results suggest the existence of a critical length above which the wing bends. We develop a theoretical model that demonstrates that this buckling is prompted by inertial forces associated with the tumbling motion, and yields a buckling criterion consistent with that observed. We further develop a reduced model for the flight dynamics of flexible tumbling wings that illustrates the effect of aeroelastic coupling on flight characteristics and rationalizes experimentally observed variations in the wing's falling speed and range. | |
| Russ Tedrake (Massachusetts Institute of Technology) | Algorithms for nonlinear analysis, optimization, and control of locomotion |
| Abstract: Keywords: locomotion, motion planning, verification, control, robotic birds, perching Abstract: Locomotion in fluids (and on terrain) often involves complex nonlinear dynamics and non-trivial notions of stability including limit cycles and dynamically stable maneuvers. In this talk I will describe some new algorithms for automatically verifying stability (via a Lyapunov function) and estimating regions of attraction for dynamic nonlinear locomotion. These tools have important implications for motion planning and feedback design, which I will demonstrate by describing our attempts to build robots that fly like a bird and execute post- stall maneuvers to land on a perch. | |
| Nizar Touzi (École Polytechnique) | Stochastic target problems and viscosity solutions |
| Abstract: No Abstract | |
| Nizar Touzi (École Polytechnique) | Second order stochastic target problems |
| Abstract: No Abstract | |
| Nizar Touzi (École Polytechnique) | Backward stochastic differential equations and connection with semilinear PDEs |
| Abstract: No Abstract | |
| Nizar Touzi (École Polytechnique) | Second order backward stochastic differential equations and connection with fully nonlinear PDEs |
| Abstract: No Abstract | |
| Nizar Touzi (École Polytechnique) | Numerical methods for BSDEs and applications |
| Abstract: No Abstract | |
| Marius Tucsnak (Université de Nancy I (Henri Poincaré)) | Controllability by the shape of a low Reynolds number swimmer |
| Abstract: No Abstract | |
| Jane Wang (Cornell University) | Tutorial: Introduction to insect flight |
| Abstract: No Abstract | |
| Sheng Xu (Southern Methodist University) | Coupling the Newton dynamics and aerodynamics of insect flight in the immersed interface method |
| Abstract: I will first give an brief overview of the immersed interface method for fluid-solid interaction. I will then focus on the application of the method to numerical simulation of insect flight. In particular, I will present (1) a boundary condition capturing approach for the prescribed kinematics of an insect wing, (2) a matrix formulation of the Newton dynamics for insect flight, and (3) a coupling approach to couple the aerodynamics and Newton dynamics of insect flight. | |
| Jeannette Yen (Georgia Institute of Technology) | Kinematics of various swimming modes in Antarctic krill |
| Abstract: Joint work with D. W. Murphy1, D.R. Webster1, S.
Kawaguchi2, R. King2, and F.
Sotiropoulos3.
The locomotion of Antarctic krill (Euphausia superba) is known
to depend on the metachronal paddling of the animal’s five
pairs of pleopods. A wave passing along these swimming
appendages from posterior to anterior transfers momentum to the
surrounding fluid, thus producing thrust. The kinematics of
these pleopods, however, have not been fully characterized.
Determining the kinematics of krill in various swimming modes
will shed light on the fluid mechanics of krill locomotion and
thereby deepen our understanding of krill sensing and
schooling. High speed footage (250 fps) of freely swimming
juvenile and adult Antarctic krill was acquired at the
Australian Antarctic Division in Hobart, Tasmania. Various
swimming modes were identified based on swimming angle and
behavior, and two-dimensional kinematic parameters such as
pleopod stroke frequency, amplitude, stroke overlap, and animal
velocity were investigated as a function of these swimming
modes. The variability of these parameters over time provides
insight into the high sensitivity and responsiveness of krill
to their hydrodynamic environment. Useful comparisons can also
be made to previously gathered kinematics data for pacific
krill (Euphausia pacifica), which live in a much lower
viscosity environment. These parameters will prove necessary in
future computational fluid dynamics (CFD) simulations of krill
locomotion.
1 School of Civil and Environmental Engineering, Georgia
Institute of Technology, Atlanta, GA 30332-0355 USA 2 Australian Antarctic Division, Kingston, Tasmania, Australia 7050 3 Saint Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN 55414 |
|
| Jianfeng Zhang (University of Southern California) | Martingale representation theorem for the G-expectation |
| Abstract: In recent years Peng prososed a new notion called G-expectation, a type of nonlinear expectation motivated from dynamic risk measures with volatility uncertainty. On the other hand, a martingale under the G-expectation can be viewed as the solution to a "linear" Second Order Backward SDEs, the main subject of the short course which will be given by Nizar Touzi in this workshop. The theory has applications in many areas, e.g. Monte Carlo methods for fully nonlinear PDEs, finanancial problems in models with volatility uncertainty (volatility control, liquidity cost, Gamma constraint). Its main technical feature is the quasi-sure stochastic analysis, which invloves a class of mutually singular probability measures. In this talk we will introduce G-martingales, develop the quais-sure stochastic analysis, and establish the martingale epresentation theorem for G-martingales. This is a joint work with Mete Soner and Nizar Touzi. | |
| Qiang Zhu (University of California, San Diego) | Performance of ray fins in fish locomotion |
| Abstract: Joint work with Kourosh Shoele, Dept of Structural Engr, UCSD. Fins of bony fishes are characterized by a skeleton-reinforced membrane structure consisting of a soft collagen membrane strengthened by embedded flexible rays. Morphologically, each ray is connected to a group of muscles so that the fish can control the rotational motion of each ray individually, enabling multi-degree of freedom control over the fin motion and deformation. We have developed a fluid-structure interaction model to simulate the kinematics and dynamic performance of a structurally idealized fin. This method includes a boundary-element model of the fluid motion and a fully-nonlinear Euler-Bernoulli beam model of the embedded rays. Using this model we studied thrust generation and propulsion efficiency of the fin at different combinations of parameters. Effects of kinematic as well as structural properties are examined. It has been illustrated that the fish’s capacity to control the motion of each individual ray, as well as the anisotropic deformability of the fin determined by distribution of the rays (especially the detailed distribution of ray stiffness), are essential to high propulsion performance. Finally, we note that this structural design is a recurring motif in nature. Several similar biostructures will be discussed. | |
| Vittorio Addona | Macalester College | 6/30/2010 - 7/2/2010 |
| Dhanapati Adhikari | Oklahoma State University | 5/31/2010 - 6/6/2010 |
| Olcay Akman | Illinois State University | 6/29/2010 - 7/2/2010 |
| Silas Alben | Georgia Institute of Technology | 6/1/2010 - 6/5/2010 |
| Alexander Alexeev | Georgia Institute of Technology | 5/31/2010 - 6/5/2010 |
| Arezoo Ardekani | Massachusetts Institute of Technology | 5/31/2010 - 6/5/2010 |
| Giles Auchmuty | University of Houston | 6/23/2010 - 6/25/2010 |
| Nusret Balci | University of Minnesota | 9/1/2009 - 8/31/2010 |
| Erhan Bayraktar | University of Michigan | 6/9/2010 - 6/18/2010 |
| Tsevi Beatus | Cornell University | 5/31/2010 - 6/5/2010 |
| Arjun Beri | University of Houston | 6/6/2010 - 6/18/2010 |
| Gordon Joseph Berman | Princeton University | 5/31/2010 - 6/5/2010 |
| Andrew Beveridge | Macalester College | 6/14/2010 - 7/16/2010 |
| Tracy Bibelnieks | Augsburg College | 6/30/2010 - 7/2/2010 |
| Steven Bleiler | Portland State University | 6/6/2010 - 6/18/2010 |
| Albert Boggess | Texas A & M University | 6/23/2010 - 6/25/2010 |
| Adam Boucher | University of New Hampshire | 5/31/2010 - 6/6/2010 |
| Luca Brandt | Royal Institute of Technology (KTH) | 5/31/2010 - 6/7/2010 |
| Kenny Breuer | Brown University | 5/31/2010 - 6/4/2010 |
| Jared C. Bronski | University of Illinois at Urbana-Champaign | 6/23/2010 - 6/25/2010 |
| Russell Brown | University of Kentucky | 6/23/2010 - 6/25/2010 |
| Michael Bulmer | University of Queensland | 6/29/2010 - 7/2/2010 |
| Leslie Button | Corning Incorporated | 6/21/2010 - 6/25/2010 |
| Maria-Carme T. Calderer | University of Minnesota | 9/1/2009 - 6/30/2010 |
| James Caristi | Valparaiso University | 6/29/2010 - 7/2/2010 |
| Guillaume Carlier | Université de Paris-Dauphine | 6/6/2010 - 6/13/2010 |
| Rene Carmona | Princeton University | 6/6/2010 - 6/18/2010 |
| Chi Hin Chan | University of Minnesota | 9/1/2009 - 8/31/2010 |
| Feng Chen | Purdue University | 6/6/2010 - 6/18/2010 |
| Guangliang Chen | University of Minnesota | 6/13/2010 - 6/24/2010 |
| Xianjin Chen | University of Minnesota | 9/1/2008 - 8/31/2010 |
| Huibin Cheng | University of Pittsburgh | 6/6/2010 - 6/18/2010 |
| Laura Chihara | Carleton College | 6/14/2010 - 7/16/2010 |
| Stephen Childress | New York University | 5/9/2010 - 6/6/2010 |
| Howie Choset | Carnegie Mellon University | 6/3/2010 - 6/3/2010 |
| Luis H. Cisneros | University of Arizona | 5/31/2010 - 6/5/2010 |
| Myriam Cisneros | Mexican Petroleum Institute | 6/6/2010 - 6/18/2010 |
| Julie M Clark | Hollins University | 6/29/2010 - 7/3/2010 |
| Robert Coffman | University of Wisconsin-River Falls | 6/30/2010 - 7/2/2010 |
| Fredric S Cohen | Rush University Medical Center | 5/31/2010 - 6/5/2010 |
| Itai Cohen | Cornell University | 5/31/2010 - 6/6/2010 |
| Peter Constantin | University of Chicago | 6/23/2010 - 6/25/2010 |
| Aline J. Cotel | University of Michigan | 5/31/2010 - 6/5/2010 |
| Darren G. Crowdy | Imperial College London | 5/31/2010 - 6/3/2010 |
| Zhenlu Cui | Fayetteville State University | 5/31/2010 - 6/5/2010 |
| Eric Cytrynbaum | University of British Columbia | 6/29/2010 - 7/3/2010 |
| John O. Dabiri | California Institute of Technology | 6/1/2010 - 6/3/2010 |
| Domenico D'Alessandro | Iowa State University | 4/15/2010 - 6/30/2010 |
| Isabel K. Darcy | University of Iowa | 6/29/2010 - 7/2/2010 |
| Jennifer L. Davidson | Iowa State University | 6/23/2010 - 6/25/2010 |
| Robert Claude delMas | University of Minnesota | 6/30/2010 - 7/2/2010 |
| Mark Denny | Stanford University | 5/31/2010 - 6/4/2010 |
| Antonio DeSimone | International School for Advanced Studies (SISSA/ISAS) | 5/31/2010 - 6/4/2010 |
| Luca Dieci | Georgia Institute of Technology | 6/23/2010 - 6/25/2010 |
| Charles R. Doering | University of Michigan | 8/15/2009 - 6/10/2010 |
| Tobin A. Driscoll | University of Delaware | 6/23/2010 - 6/25/2010 |
| Oguz C. Durumeric | University of Iowa | 6/23/2010 - 6/25/2010 |
| Deborah Edmund | University of Michigan | 5/31/2010 - 6/4/2010 |
| Robert S. Eisenberg | Rush University Medical Center | 5/31/2010 - 6/5/2010 |
| Ivar Ekeland | University of British Columbia | 6/9/2010 - 6/12/2010 |
| Saber Elaydi | Trinity University | 6/29/2010 - 7/2/2010 |
| Jeff D. Eldredge | University of California, Los Angeles | 5/31/2010 - 6/5/2010 |
| Acmae El Yacoubi | Cornell University | 5/30/2010 - 6/4/2010 |
| Julius Njome Esunge | University of Mary Washington | 6/6/2010 - 6/18/2010 |
| Randy H. Ewoldt | University of Minnesota | 9/1/2009 - 8/31/2010 |
| Emilie Ghislaine Gabrielle Fabre | École Polytechnique | 6/13/2010 - 6/20/2010 |
| Robert Falgout | Lawrence Livermore National Laboratory | 6/23/2010 - 6/25/2010 |
| Lisa J. Fauci | Tulane University | 5/31/2010 - 6/6/2010 |
| Max Fehr | London School of Economics and Political Science | 6/5/2010 - 6/10/2010 |
| Frank E. Fish | West Chester University | 5/31/2010 - 6/5/2010 |
| Daniel Flath | Macalester College | 6/7/2010 - 7/16/2010 |
| Hermes Gadêlha | University of Oxford | 5/30/2010 - 6/6/2010 |
| Eamonn Andrew Gaffney | University of Oxford | 5/31/2010 - 6/6/2010 |
| Albert Gilg | Siemens | 6/23/2010 - 6/25/2010 |
| John Ginder | Ford | 6/23/2010 - 6/25/2010 |
| Mark S. Gockenbach | Michigan Technological University | 6/23/2010 - 6/25/2010 |
| Daniel Ivan Goldman | Georgia Institute of Technology | 5/31/2010 - 6/5/2010 |
| Christophe Golé | Smith College | 6/29/2010 - 7/2/2010 |
| Michael D. Graham | University of Wisconsin | 5/31/2010 - 6/5/2010 |
| Olaf Hall-Holt | St. Olaf College | 6/14/2010 - 7/16/2010 |
| Bernard Harris | Northern Illinois University | 6/23/2010 - 6/25/2010 |
| Andong He | Pennsylvania State University | 5/30/2010 - 6/5/2010 |
| Bruce Hendrickson | Sandia National Laboratories | 6/23/2010 - 6/25/2010 |
| Alex A Himonas | University of Notre Dame | 6/6/2010 - 6/18/2010 |
| Christel Hohenegger | New York University | 6/1/2010 - 6/5/2010 |
| Nicholas Jon Horton | Smith College | 6/29/2010 - 7/2/2010 |
| Natali Hritonenko | Prairie View A&M University | 6/6/2010 - 6/18/2010 |
| Bei Hu | University of Notre Dame | 6/23/2010 - 6/25/2010 |
| David Hu | Georgia Institute of Technology | 5/31/2010 - 6/5/2010 |
| Jifeng Hu | University of Minnesota | 6/1/2010 - 6/5/2010 |
| Xianpeng Hu | University of Pittsburgh | 5/31/2010 - 6/5/2010 |
| Junming Huang | University of Pittsburgh | 6/6/2010 - 6/19/2010 |
| Yan Huang | Macalester College | 6/13/2010 - 7/17/2010 |
| Yu-Jui Huang | University of Michigan | 6/6/2010 - 6/18/2010 |
| Yunkyong Hyon | University of Minnesota | 9/1/2008 - 8/31/2010 |
| Rebekah R Isaak | University of Minnesota | 6/30/2010 - 7/2/2010 |
| Volkan Isler | University of Minnesota | 6/14/2010 - 7/16/2010 |
| Mark Iwen | University of Minnesota | 9/1/2008 - 7/31/2010 |
| Pieter Jan Antoon Janssen | University of Wisconsin | 5/31/2010 - 6/5/2010 |
| Srividhya Jeyaraman | University of Minnesota | 9/1/2008 - 6/8/2010 |
| Lijian Jiang | University of Minnesota | 9/10/2008 - 8/31/2010 |
| Mihailo Jovanovic | University of Minnesota | 9/11/2009 - 6/10/2010 |
| Ning Ju | Oklahoma State University | 1/4/2010 - 6/25/2010 |
| Sunghwan (Sunny) Jung | Virginia Polytechnic Institute and State University | 5/31/2010 - 6/3/2010 |
| Eva Kanso | University of Southern California | 5/31/2010 - 6/5/2010 |
| Daniel Kaplan | Macalester College | 6/30/2010 - 7/2/2010 |
| Catherine G Kealey | Beloit College | 6/13/2010 - 7/16/2010 |
| Markus Keel | University of Minnesota | 7/21/2008 - 6/30/2010 |
| Changho Keem | Seoul National University | 6/19/2010 - 7/3/2010 |
| Scott David Kelly | University of North Carolina - Charlotte | 5/31/2010 - 6/5/2010 |
| Elisabeth Teudjeu Kemajou | Southern Illinois University | 6/7/2010 - 6/19/2010 |
| Kimberly D. Kendricks | Central State University | 5/10/2010 - 7/19/2010 |
| Boguk Kim | University of Wisconsin | 6/6/2010 - 6/18/2010 |
| Hyejin Kim | University of Minnesota | 9/1/2009 - 8/31/2010 |
| Jeff Randall Knisley | East Tennessee State University | 6/29/2010 - 7/2/2010 |
| Mimi Koehl | University of California, Berkeley | 6/2/2010 - 6/4/2010 |
| Pawel Konieczny | University of Minnesota | 9/1/2009 - 8/31/2010 |
| Don Kreher | Michigan Technological University | 6/29/2010 - 7/2/2010 |
| Arshad Kudrolli | Clark University | 6/1/2010 - 6/4/2010 |
| Devadatta Kulkarni | General Motors | 6/23/2010 - 6/25/2010 |
| Christopher Kuster | Carroll University | 6/29/2010 - 7/2/2010 |
| Amy Lang | University of Alabama | 5/31/2010 - 6/5/2010 |
| Ronald G. Larson | University of Michigan | 6/1/2010 - 6/5/2010 |
| Eric Lauga | University of California, San Diego | 5/31/2010 - 6/4/2010 |
| Anita Layton | Duke University | 5/31/2010 - 6/5/2010 |
| Chiun-Chang Lee | National Taiwan University | 10/22/2009 - 6/9/2010 |
| David Lentink | Wageningen University and Research Center | 5/31/2010 - 6/5/2010 |
| Gilad Lerman | University of Minnesota | 6/14/2010 - 7/16/2010 |
| Rachel Levy | Harvey Mudd College | 5/31/2010 - 6/5/2010 |
| Marta Lewicka | University of Minnesota | 9/1/2009 - 6/30/2010 |
| Congming Li | University of Colorado | 1/11/2010 - 6/15/2010 |
| Jenny Li | Pennsylvania State University | 6/6/2010 - 6/13/2010 |
| Wanyi Li | Macalester College | 6/14/2010 - 7/16/2010 |
| Yongfeng Li | University of Minnesota | 9/1/2008 - 8/31/2010 |
| Zhi (George) Lin | University of Minnesota | 9/1/2009 - 8/31/2010 |
| Bin Liu | New York University | 5/31/2010 - 6/5/2010 |
| Chun Liu | University of Minnesota | 9/1/2008 - 8/31/2010 |
| Kun Liu | Rice University | 6/6/2010 - 6/18/2010 |
| Jerome Loheac | Université de Nancy I (Henri Poincaré) | 5/31/2010 - 6/6/2010 |
| Ellen K. Longmire | University of Minnesota | 9/1/2009 - 6/30/2010 |
| Juan Lopez | Arizona State University | 6/23/2010 - 6/25/2010 |
| Michael Ludkovski | University of California, Santa Barbara | 6/16/2010 - 6/18/2010 |
| Evelyn Manalo Lunasin | University of Arizona | 5/25/2010 - 6/12/2010 |
| Enkeleida Lushi | New York University | 5/31/2010 - 6/5/2010 |
| Suping Lyu | Medtronic | 6/24/2010 - 6/24/2010 |
| Krishnan Mahesh | University of Minnesota | 9/1/2009 - 6/30/2010 |
| Kara Lee Maki | University of Minnesota | 9/1/2009 - 8/31/2010 |
| Eric Marland | Appalachian State University | 6/29/2010 - 7/2/2010 |
| Vasileios Maroulas | University of Minnesota | 9/1/2008 - 7/31/2010 |
| Hassan Masoud | Georgia Institute of Technology | 5/31/2010 - 6/5/2010 |
| Aaron J Maurer | Carleton College | 6/13/2010 - 7/16/2010 |
| Anna L. Mazzucato | Pennsylvania State University | 1/12/2010 - 6/11/2010 |
| Anna L. Mazzucato | Pennsylvania State University | 6/24/2010 - 6/24/2010 |
| John M McCauley | Haverford College | 6/13/2010 - 7/17/2010 |
| Richard P. McGehee | University of Minnesota | 6/30/2010 - 6/30/2010 |
| Piotr Mikusinski | University of Central Florida | 6/23/2010 - 6/25/2010 |
| Laura Ann Miller | University of North Carolina | 5/31/2010 - 6/5/2010 |
| Michal Mlejnek | Corning Incorporated | 5/31/2010 - 6/5/2010 |
| Kamran Mohseni | University of Colorado | 5/31/2010 - 6/2/2010 |
| Donna Molinek | Davidson College | 6/29/2010 - 7/2/2010 |
| Yoichiro Mori | University of Minnesota | 9/1/2009 - 6/30/2010 |
| Roman Muraviev | ETH | 6/9/2010 - 6/19/2010 |
| Richard D. Neidinger | Davidson College | 6/29/2010 - 7/2/2010 |
| Hoa Nguyen | Tulane University | 5/31/2010 - 6/6/2010 |
| Monika Nitsche | University of New Mexico | 5/31/2010 - 6/5/2010 |
| Dongjuan Niu | Capital Normal University | 4/1/2010 - 6/15/2010 |
| Clara O'Farrell | California Institute of Technology | 5/30/2010 - 6/5/2010 |
| Sarah Olson | Tulane University | 5/31/2010 - 6/5/2010 |
| Peter J. Olver | University of Minnesota | 6/23/2010 - 6/25/2010 |
| Yizhar Or | Technion-Israel Institute of Technology | 5/31/2010 - 6/6/2010 |
| Cecilia Ortiz-Duenas | University of Minnesota | 9/1/2009 - 8/31/2010 |
| Hans G. Othmer | University of Minnesota | 9/1/2009 - 6/30/2010 |
| Mary Therese Padberg | University of Iowa | 6/29/2010 - 7/2/2010 |
| Mavis Pararai | Indiana University of Pennsylvania | 6/7/2010 - 6/19/2010 |
| Jiyoon Park | University of Minnesota | 6/30/2010 - 7/2/2010 |
| Neelesh A. Patankar | Northwestern University | 6/2/2010 - 6/5/2010 |
| Michael Pearson | Mathematical Association of America (MAA) | 6/30/2010 - 7/2/2010 |
| Jifeng Peng | University of Alaska | 6/1/2010 - 6/5/2010 |
| Peter Polyakov | University of Wyoming | 6/23/2010 - 6/25/2010 |
| Dylan Possamai | École Polytechnique | 6/13/2010 - 6/18/2010 |
| Candice Renee Price | University of Iowa | 6/29/2010 - 7/2/2010 |
| Randall Pruim | Calvin College | 6/29/2010 - 7/2/2010 |
| Yuan-Wei Qi | University of Central Florida | 6/6/2010 - 6/13/2010 |
| Juan Mario Restrepo | University of Arizona | 8/11/2009 - 6/15/2010 |
| Leif Gibbens Ristroph | Cornell University | 5/31/2010 - 6/5/2010 |
| John William Roberts | Massachusetts Institute of Technology | 5/31/2010 - 6/5/2010 |
| Beatriz Rumbos | Instituto Tecnologico Autonomo de Mexico | 6/6/2010 - 6/18/2010 |
| Rolf Ryham | Rice University | 5/13/2010 - 6/15/2010 |
| David Saintillan | University of Illinois at Urbana-Champaign | 5/31/2010 - 6/5/2010 |
| Tariq Samad, Corporate Fellow | Honeywell | 6/23/2010 - 6/25/2010 |
| Bjorn Sandstede | Brown University | 6/30/2010 - 7/2/2010 |
| Fadil Santosa | University of Minnesota | 7/1/2008 - 6/30/2011 |
| Vishal Saraswat | University of Minnesota | 6/13/2010 - 7/16/2010 |
| Arnd Scheel | University of Minnesota | 9/1/2009 - 6/30/2010 |
| William W. Schultz | University of Michigan | 5/28/2010 - 6/5/2010 |
| George R Sell | University of Minnesota | 9/1/2009 - 6/30/2010 |
| Tsvetanka Sendova | University of Minnesota | 9/1/2008 - 8/31/2010 |
| Chehrzad Shakiban | University of Minnesota | 6/23/2010 - 6/25/2010 |
| Shuanglin Shao | University of Minnesota | 9/1/2009 - 8/31/2010 |
| David H. Sharp | Los Alamos National Laboratory | 6/23/2010 - 6/25/2010 |
| Michael J. Shelley | New York University | 6/1/2010 - 6/5/2010 |
| Jian Sheng | University of Minnesota | 6/1/2010 - 6/5/2010 |
| Sung-Chan Shin | Korea Advanced Institute of Science and Technology (KAIST) | 6/4/2010 - 6/19/2010 |
| Ratnasingham Shivaji | Mississippi State University | 6/23/2010 - 6/25/2010 |
| Gregory Shubin | Boeing | 6/23/2010 - 6/25/2010 |
| Henry Shum | University of Oxford | 5/31/2010 - 6/5/2010 |
| Ronnie Sircar | Princeton University | 6/13/2010 - 6/18/2010 |
| Jake Socha | Virginia Polytechnic Institute and State University | 5/31/2010 - 6/3/2010 |
| Saverio Eric Spagnolie | University of California, San Diego | 5/31/2010 - 6/6/2010 |
| Adam Spiegler | Loyola University | 6/29/2010 - 7/2/2010 |
| Konstantinos Spiliopoulos | Brown University | 6/6/2010 - 6/18/2010 |
| Daniel Spirn | University of Minnesota | 9/8/2009 - 6/1/2010 |
| Katie St. Clair | Carleton College | 6/30/2010 - 7/2/2010 |
| Peter J. Sternberg | Indiana University | 6/23/2010 - 6/25/2010 |
| Panagiotis Stinis | University of Minnesota | 9/1/2009 - 6/30/2010 |
| Robert Mills Strain III | University of Pennsylvania | 6/23/2010 - 6/25/2010 |
| Wanda Strychalski | University of California, Davis | 5/31/2010 - 6/5/2010 |
| Susan S. Suarez | Cornell University | 5/31/2010 - 6/5/2010 |
| Patrick Sullivan | Valparaiso University | 6/29/2010 - 7/2/2010 |
| Vladimir Sverak | University of Minnesota | 9/1/2009 - 6/30/2010 |
| Charles L Talbot | University of Connecticut | 6/14/2010 - 7/16/2010 |
| Daniel See-Wai Tam | Massachusetts Institute of Technology | 5/31/2010 - 6/5/2010 |
| Jeff Tecosky-Feldman | Haverford College | 6/29/2010 - 7/2/2010 |
| Russ Tedrake | Massachusetts Institute of Technology | 5/31/2010 - 6/5/2010 |
| Jean-Luc Thiffeault | University of Wisconsin | 9/1/2009 - 6/14/2010 |
| Becca Thomases | University of California, Davis | 2/9/2010 - 6/12/2010 |
| Giordano Tierra Chica | University of Sevilla | 4/6/2010 - 6/15/2010 |
| Nathan Tintle | Hope College | 6/29/2010 - 7/2/2010 |
| Edriss Saleh Titi | University of California | 3/28/2010 - 6/12/2010 |
| Anthony Tongen | James Madison University | 6/29/2010 - 7/1/2010 |
| Chad Michael Topaz | Macalester College | 9/1/2009 - 6/29/2010 |
| Chad Michael Topaz | Macalester College | 6/30/2010 - 7/2/2010 |
| Nizar Touzi | École Polytechnique | 6/14/2010 - 6/18/2010 |
| Marius Tucsnak | Université de Nancy I (Henri Poincaré) | 5/30/2010 - 6/6/2010 |
| Gunther A. Uhlmann | University of Washington | 6/20/2010 - 6/23/2010 |
| Patrick Theodore Underhill | Rensselaer Polytechnic Institute | 5/31/2010 - 6/5/2010 |
| Silviya D Valeva | Mount Holyoke College | 6/14/2010 - 7/16/2010 |
| Eric van den Berg | Telcordia | 6/23/2010 - 6/25/2010 |
| Peter B VanKoughnett | Oberlin College | 6/14/2010 - 7/16/2010 |
| Peter Veerman | Portland State University | 6/23/2010 - 6/25/2010 |
| Lalitha Venkataramanan | Schlumberger-Doll | 6/23/2010 - 6/25/2010 |
| Steven Vogel | Duke University | 5/31/2010 - 6/5/2010 |
| Shawn W. Walker | New York University | 5/30/2010 - 6/5/2010 |
| Changyou Wang | University of Kentucky | 9/1/2009 - 6/15/2010 |
| Jane Wang | Cornell University | 5/30/2010 - 6/5/2010 |
| Qixuan Wang | University of Minnesota | 6/1/2010 - 6/5/2010 |
| Yang Wang | Michigan State University | 6/23/2010 - 6/25/2010 |
| Paul W. Webb | University of Michigan | 5/31/2010 - 6/5/2010 |
| Yan Wei | Michigan State University | 6/6/2010 - 6/18/2010 |
| Nathaniel Whitaker | University of Massachusetts | 5/31/2010 - 6/5/2010 |
| Andrew J W White | St. Olaf College | 6/14/2010 - 7/16/2010 |
| Sijue Wu | University of Michigan | 9/1/2009 - 6/5/2010 |
| Yulong Xing | University of Tennessee | 6/23/2010 - 6/25/2010 |
| Wei Xiong | University of Minnesota | 9/1/2008 - 8/31/2010 |
| Jin Xu | Shanghai University of Traditional Chinese Medicine | 12/9/2009 - 6/9/2010 |
| Sheng Xu | Southern Methodist University | 5/31/2010 - 6/5/2010 |
| Xiang Xu | Pennsylvania State University | 1/13/2010 - 6/13/2010 |
| Yuri Yatsenko | Houston Baptist University | 6/6/2010 - 6/18/2010 |
| Jeannette Yen | Georgia Institute of Technology | 5/31/2010 - 6/5/2010 |
| Tsuyoshi Yoneda | University of Minnesota | 9/4/2009 - 8/31/2010 |
| Jianfeng Zhang | University of Southern California | 6/14/2010 - 6/16/2010 |
| Jun Zhang | New York University | 5/31/2010 - 6/6/2010 |
| Shiju Zhang | St. Cloud State University | 6/29/2010 - 7/2/2010 |
| Peiyi Zhao | St. Cloud State University | 6/29/2010 - 7/2/2010 |
| Weigang Zhong | University of Minnesota | 9/8/2008 - 9/30/2010 |
| Qiang Zhu | University of California, San Diego | 5/31/2010 - 6/5/2010 |
| Andrew Zieffler | University of Minnesota | 6/30/2010 - 7/2/2010 |
| Paul Zorn | St. Olaf College | 6/14/2010 - 7/16/2010 |