October 18, 2010 
Stochastic models with application to approximation of
optimization problems Christian Hess (Université de Paris IX (ParisDauphine)) 
Computing with Uncertainty: Mathematical Modeling, Numerical Approximation and Large Scale Optimization of Complex Systems with Uncertainty 
October 18, 2010 
Multiresolution stochastic Galerkin methods for uncertain
hyperbolic flows Olivier Le Maître (Centre National de la Recherche Scientifique (CNRS)) 
Computing with Uncertainty: Mathematical Modeling, Numerical Approximation and Large Scale Optimization of Complex Systems with Uncertainty 
October 21, 2010 
An extended mathematical programming framework Michael Ferris (University of Wisconsin, Madison) 
Computing with Uncertainty: Mathematical Modeling, Numerical Approximation and Large Scale Optimization of Complex Systems with Uncertainty 
October 21, 2010 
Weak Convergence of Numerical Methods for Dynamical Systems and Optimal Control, and a relation with Large Deviations for Stochastic Equations Mattias Sandberg (Royal Institute of Technology (KTH)) 
Computing with Uncertainty: Mathematical Modeling, Numerical Approximation and Large Scale Optimization of Complex Systems with Uncertainty 
October 22, 2010 
Accelerated kinetic Monte Carlo methods: Hierarchical parallel algorithms and coarsegraining Markos Katsoulakis (University of Massachusetts) 
Computing with Uncertainty: Mathematical Modeling, Numerical Approximation and Large Scale Optimization of Complex Systems with Uncertainty 
October 22, 2010 
Multiscale structural optimization in the presence of
uncertainty for very large composite structures Robert Lipton (Louisiana State University) 
Computing with Uncertainty: Mathematical Modeling, Numerical Approximation and Large Scale Optimization of Complex Systems with Uncertainty 
April 14, 2011 
Parametrized Multiscale Momentum Exchanges between Waves, Currents, and Whitecapping Juan Restrepo (University of Arizona) 
Societally Relevant Computing 
April 13, 2011 
Climate Risk Modeling James Done (University Corporation for Atmospheric Research (UCAR)) 
Societally Relevant Computing 
April 15, 2011 
Tackling the numerical challenges of futuregeneration climate models: Highorder methods, nonhydrostatic designs, variableresolution and cubedsphere grids, and how to test models Christiane Jablonowski (University of Michigan) 
Societally Relevant Computing 
April 13, 2011 
Computing Hurricane Ike Waves, Forerunner, and Surge: Slow and Fast Flow Processes from the Gulf to LouisianaTexas Shelf to Houston Joannes Westerink (University of Notre Dame) 
Societally Relevant Computing 
April 14, 2011 
Separation of Time Scales with fast rotation and weak stratification and some ideas for exascale computing Beth Wingate (Los Alamos National Laboratory) 
Societally Relevant Computing 
April 11, 2011 
Tutorial Lecture: Climate Science, Waves and PDE's for the Tropics Andrew Majda (New York University) 
Societally Relevant Computing 
April 14, 2011 
From aerosols to rain drops: the role of turbulence in cloud microphysics. Alain Pumir (Centre National de la Recherche Scientifique (CNRS)) 
Societally Relevant Computing 
April 13, 2011 
Statistical and computational aspects of subsurface imaging Peter Kitanidis (Stanford University) 
Societally Relevant Computing 
April 12, 2011 
Computational Simulation of Long term Sequestration of Carbon Dioxide and other Energy Wastes Todd Arbogast (The University of Texas at Austin) 
Societally Relevant Computing 
April 11, 2011 
Tutorial Lecture: Modeling Uncertainty in the Earth Sciences
Margot Gerritsen (Stanford University) 
Societally Relevant Computing 
April 14, 2011 
Projecting future global sea level. Really? David Holland (New York University) 
Societally Relevant Computing 
April 12, 2011 
Comparatively Concise Collection of Computing Challenges for Comprehending Climate Change Philip Jones (Los Alamos National Laboratory) 
Societally Relevant Computing 
April 12, 2011 
The need for Fully Coupled Earth and Human Systems
Eugenia Kalnay (University of Maryland) 
Societally Relevant Computing 
April 11, 2011 
Tutorial Lecture: Numerical Modeling of Ocean Circulation Robert Higdon (Oregon State University) 
Societally Relevant Computing 
April 15, 2011 
Modeling Tsunamis and other hazardous geophysical flows. David George (U.S. Geological Survey) 
Societally Relevant Computing 
April 11, 2011 
Tutorial Lecture: Challenges in Global Atmospheric Chemistry Modeling Mauricio Santillana (Harvard University) 
Societally Relevant Computing 
April 13, 2011 
Mathematical Strategies for Filtering Turbulent Dynamical Systems Andrew Majda (New York University) 
Societally Relevant Computing 
April 12, 2011 
Welcome to the IMA Fadil Santosa (University of Minnesota, Twin Cities) 
Societally Relevant Computing 
April 12, 2011 
Numerical Simulations of Explosive Volcanic Eruptions Darcy Ogden (Scripps Institution of Oceanography) 
Societally Relevant Computing 
April 13, 2011 
Methane in subsurface: resource and hazard. Towards hybrid mathematical models and computational solutions Malgorzata Peszynska (Oregon State University) 
Societally Relevant Computing 
June 10, 2011 
Hierarchical Bayesian Modeling: Why and How Mark Berliner (The Ohio State University) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 06, 2011 
Welcome to the IMA Fadil Santosa (University of Minnesota, Twin Cities) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 10, 2011 
Surrogate Response Surfaces in Global Optimization and Uncertainty Quantification of Computationally Expensive Simulations with PDE and Environmental Inverse Applications Christine Shoemaker (Cornell University) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 09, 2011 
An approach for robust segmentation of images from arbitrary Fourier data using l1 minimization techniques Rosemary Renaut (Arizona State University) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 06, 2011 
The best we can do with MCMC, and how to do better. Colin Fox (University of Otago) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 09, 2011 
Hierarchical Bayesian Models for Uncertainty Quantification and Model Validation Roger Ghanem (University of Southern California) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 08, 2011 
Design of simultaneous source Eldad Haber (University of British Columbia) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 07, 2011 
Systemtheoretical aspects of oil and gas reservoir history matching Jan Dirk Jansen (Technische Universiteit te Delft) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 07, 2011 
Ocean Uncertainty Prediction and nonGaussian Data Assimilation with Stochastic PDEs: ByeBye MonteCarlo? Pierre Lermusiaux (Harvard University) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 08, 2011 
Bayesian approaches for combining computational model output and physical observations David Higdon (Los Alamos National Laboratory) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 09, 2011 
Bayesian Uncertainty Quantification for Subsurface Inversion using Multiscale Hierarchical Model Bani Mallick (Texas A & M University) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 09, 2011 
NSF SEES Presentation Rosemary Renaut (Arizona State University) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 08, 2011 
A mapbased approach to Bayesian inference in inverse problems Youssef Marzouk (Massachusetts Institute of Technology) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 06, 2011 
Workshop Introduction Omar Ghattas (The University of Texas at Austin) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 06, 2011 
Confidence in Image Reconstruction Dianne O'Leary (University of Maryland) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 07, 2011 
Ensemblebased methods: filters, smoothers and iteration Dean Oliver (University of Bergen) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 07, 2011 
Spatial categorical inversion: Seismic inversion into lithology/fluid classes Henning Omre (Norwegian University of Science and Technology (NTNU)) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 08, 2011 
Data Assimilation and Efficient Forward Modeling for Subsurface Flow Louis Durlofsky (Stanford University) 
Largescale Inverse Problems and Quantification of Uncertainty 
June 09, 2011 
Climate Variability: Goals and Challenges Juan Restrepo (University of Arizona) 
Largescale Inverse Problems and Quantification of Uncertainty 
November 05, 2010 
Welcome to the IMA Fadil Santosa 
Finite Element Circus featuring a Scientific Celebration of Falk, Pasciak, and Wahlbin 
November 05, 2010 
Plenary talk: On the lumped mass finite element method for
parabolic problems Vidar Thomée (Chalmers University of Technology) 
Finite Element Circus featuring a Scientific Celebration of Falk, Pasciak, and Wahlbin 
November 06, 2010 
Plenary talk: Analysis of a Cartesian PML approximation to an acoustic
scattering problem James Bramble (Texas A & M University) 
Finite Element Circus featuring a Scientific Celebration of Falk, Pasciak, and Wahlbin 
November 06, 2010 
Plenary talk: Canonical families of finite elements Douglas Arnold (University of Minnesota, Twin Cities) 
Finite Element Circus featuring a Scientific Celebration of Falk, Pasciak, and Wahlbin 
September 21, 2010 
How Financial Engineering Can Cure Cancer, Solve the Energy Crisis, and Stop Global Warming Andrew Lo (Massachusetts Institute of Technology) 
How Financial Engineering Can Cure Cancer, Solve the Energy Crisis, and Stop Global Warming 
November 09, 2010 
Burst, Cascades, and Hot Spots: A Glimpse of Some Online Social Phenomena at Global Scales Jon Kleinberg (Cornell University) 
Burst, Cascades, and Hot Spots: A Glimpse of Some OnLine Social Phenomena at Global Scales 
September 13, 2010 
Biocompatibility from the host's point of view
Howard Winet (University of California, Los Angeles) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 13, 2010 
Modeling of bacterial swarming on different surfaces Mark Alber (University of Notre Dame) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 13, 2010 
The biology of biofilms
Edgardo SanabriaValentín (Harvard Medical School) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 13, 2010 
Stem cell differentiation and the influence of microenvironment
Dennis Discher (University of Pennsylvania) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 13, 2010 
Continuum models of biofilms
Isaac Klapper (Montana State University) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 13, 2010 
Implantable medical devices – we have come a long way, but where
next? Darrel Untereker (Medtronic) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 13, 2010 
Panel discussion on the topics of the day: major areas, challenges, and opportunities

Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 14, 2010 
Gastrointestinal electrical stimulation: potential applications
Jiande Chen (University of Texas Medical Branch) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 14, 2010 
Deep brain stimulation models of the electrodetissue interface Cameron McIntyre (Case Western Reserve University) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 14, 2010 
Understanding the fluid dynamics of microorganisms: successes and challenges Lisa Fauci (Tulane University) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 14, 2010 
An introduction to the mathematical modeling of blood clotting Aaron Fogelson (The University of Utah) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 14, 2010 
Understanding and manipulating bacterial growth through cellwall modeling
Kerwyn Huang (Stanford University) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 13, 2010 
Cellbased, hybrid and continuum models of tissue dynamics: when to
use which where — ? Hans Othmer (University of Minnesota, Twin Cities) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 14, 2010 
Biomedical applications of heat transfer: Rare cell
preservation to diseased cell destruction John Bischof (University of Minnesota, Twin Cities) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 14, 2010 
Challenges in making MRI safe implantable devices
WanZhan Liu (Medtronic) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 14, 2010 
Mathematical tools in biomedical image processing ChiuYen Kao (The Ohio State University) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 13, 2010 
Welcome to the IMA Markus Keel 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 14, 2010 
Panel discussion on the topics of the day: major areas, challenges, and opportunities

Medical DeviceBiological Interactions at the MaterialTissue Interface 
September 13, 2010 
Workshop opening and housekeeping
Suping Lyu (Medtronic), Qing Nie (University of California) 
Medical DeviceBiological Interactions at the MaterialTissue Interface 
April 13, 2011 
Recommender Systems for Fun and Profit Chris Volinsky (AT&T Laboratories  Research) 
Recommender Systems for Fun and Profit 
November 12, 2010 
A Perspective on the Use of Mathematics in Industry Jeffrey Abell (General Motors Corporation) 
A Perspective on the Use of Mathematics in Industry  Jeffrey A. Abell (General Motors) [Special IPS] 
October 29, 2010 
Predictive Modeling of Mental States from fMRI Data Irina Rish (IBM) 
Predictive Modeling of Mental States from fMRI Data  Irina Rish (Computational Biology Center, IBM) 
March 25, 2011 
Design Optimization in Automotive Industry RenJye Yang (Ford Motor Company) 
Design Optimization in Automotive Industry  RenJye Yang (Ford) 
October 08, 2010 
Challenges and Solutions in Clinical Image Analysis Osama Masoud (ViTAL Images, Inc.) 
Challenges and Solutions in Clinical Image Analysis  Osama Masoud (Vital Images) 
February 11, 2011 
Large Scale Information Extraction from the Web Sathiya Keerthi (Yahoo! Inc.) 
Large Scale Information Extraction from the Web  S. Sathiya Keerthi (Machine Learning Group, Yahoo! Research) 
September 26, 2011 
Spectral Methods for Learning Multivariate Latent Tree Structure Kamalika Chaudhuri (University of California) 
High Dimensional Phenomena 
September 27, 2011 
Analytic Organization of High Himensional observational Databases as a tool for learning and inference Ronald Coifman (Yale University) 
High Dimensional Phenomena 
September 28, 2011 
Tutorial  SDP, GFA, ETC... Alexandre d'Aspremont (Princeton University) 
High Dimensional Phenomena 
September 27, 2011 
Limiting distributions of eigenvalues for nonnormal matrices Ofer Zeitouni (University of Minnesota, Twin Cities) 
High Dimensional Phenomena 
September 27, 2011 
On the Power of Adaptivity in Sparse Recovery Piotr Indyk (Massachusetts Institute of Technology) 
High Dimensional Phenomena 
September 26, 2011 
Correlation screening from random matrices: phase transitions and Poisson limits Alfred Hero III (University of Michigan) 
High Dimensional Phenomena 
September 30, 2011 
Small Value Probability and Metric Entropy Wenbo Li (University of Delaware) 
High Dimensional Phenomena 
September 26, 2011 
Tutorial  Spectral clustering and highdim stochastic block model for undirected and directed graphs Bin Yu (University of California, Berkeley) 
High Dimensional Phenomena 
September 26, 2011 
Active Clustering and Ranking Robert Nowak (University of Wisconsin, Madison) 
High Dimensional Phenomena 
September 28, 2011 
Tutorial  SDP, GFA, ETC... Alexandre d'Aspremont (Princeton University) 
High Dimensional Phenomena 
September 28, 2011 
Randomized algorithms for the approximation of matrices Luis Rademacher (The Ohio State University) 
High Dimensional Phenomena 
September 27, 2011 
Tutorial  Userfriendly tail bound for sums of random matrices Joel Tropp (California Institute of Technology) 
High Dimensional Phenomena 
September 28, 2011 
Estimating Population Eigenvalues From Large Dimensional Sample Covariance Matrices Jack Silverstein (North Carolina State University) 
High Dimensional Phenomena 
September 29, 2011 
Tutorial  Structured sparsityinducing norms through submodular functions Francis Bach (École Normale Supérieure) 
High Dimensional Phenomena 
September 29, 2011 
Greedy approximation in compressed sensing Vladimir Temlyakov (University of South Carolina) 
High Dimensional Phenomena 
September 30, 2011 
General principles for highdimensional estimation: Statistical and computational issues Martin Wainwright (University of California, Berkeley) 
High Dimensional Phenomena 
September 30, 2011 
General principles for highdimensional estimation: Statistical and computational issues Martin Wainwright (University of California, Berkeley) 
High Dimensional Phenomena 
September 26, 2011 
Highdimensional covariance estimation based on Gaussian graphical models Shuheng Zhou (University of Michigan) 
High Dimensional Phenomena 
September 27, 2011 
Tutorial  Userfriendly tail bound for sums of random matrices Joel Tropp (California Institute of Technology) 
High Dimensional Phenomena 
September 28, 2011 
Principal component analysis with random noise Van Vu (Yale University) 
High Dimensional Phenomena 
September 27, 2011 
Algorithmic Construction and Applications of MEllipsoids Santosh Vempala (Georgia Institute of Technology) 
High Dimensional Phenomena 
September 29, 2011 
Tutorial  Structured sparsityinducing norms through submodular functions Francis Bach (École Normale Supérieure) 
High Dimensional Phenomena 
September 26, 2011 
Tutorial  Spectral clustering and highdim stochastic block model for undirected and directed graphs Bin Yu (University of California, Berkeley) 
High Dimensional Phenomena 
October 25, 2011 
Extracting insight from large networks: smallscale structures,
largescale structures, and their implications for machine learning and
data analysis Michael Mahoney (Stanford University) 
Large Graphs: Modeling, Algorithms, and Applications 