Campuses:

Talks

Date Title / Speaker Eventsort descending
October 18, 2010 Welcome to the IMA
Fadil Santosa (University of Minnesota, Twin Cities) 		Computing with Uncertainty: Mathematical Modeling, Numerical Approximation and Large Scale Optimization of Complex Systems with Uncertainty
October 18, 2010 Porous flow as a high dimensional challenge
Ian Sloan (University of New South Wales) 		Computing with Uncertainty: Mathematical Modeling, Numerical Approximation and Large Scale Optimization of Complex Systems with Uncertainty
October 18, 2010 Generating and handling scenarios in stochastic programming


Werner Römisch (Humboldt-Universität) 		Computing with Uncertainty: Mathematical Modeling, Numerical Approximation and Large Scale Optimization of Complex Systems with Uncertainty
October 18, 2010 Multi-resolution 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 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 coarse-graining
Markos Katsoulakis (University of Massachusetts) 		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 Computing Hurricane Ike Waves, Forerunner, and Surge: Slow and Fast Flow Processes from the Gulf to Louisiana-Texas 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 11, 2011 Tutorial Lecture: Numerical Modeling of Ocean Circulation
Robert Higdon (Oregon State 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: Challenges in Global Atmospheric Chemistry Modeling
Mauricio Santillana (Harvard University) 		Societally Relevant Computing
April 11, 2011 Tutorial Lecture: Modeling Uncertainty in the Earth Sciences




Margot Gerritsen (Stanford University) 		Societally Relevant Computing
April 12, 2011 Welcome to the IMA
Fadil Santosa (University of Minnesota, Twin Cities) 		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 15, 2011 Tackling the numerical challenges of future-generation climate models: High-order methods, nonhydrostatic designs, variable-resolution and cubed-sphere grids, and how to test models
Christiane Jablonowski (University of Michigan) 		Societally Relevant Computing
April 12, 2011 The need for Fully Coupled Earth and Human Systems


Eugenia Kalnay (University of Maryland) 		Societally Relevant Computing
April 13, 2011 Climate Risk Modeling
James Done (University Corporation for Atmospheric Research (UCAR)) 		Societally Relevant Computing
April 15, 2011 Modeling Tsunamis and other hazardous geophysical flows.
David George (U.S. Geological Survey) 		Societally Relevant Computing
April 13, 2011 Mathematical Strategies for Filtering Turbulent Dynamical Systems
Andrew Majda (New York University) 		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 07, 2011 System-theoretical aspects of oil and gas reservoir history matching
Jan Dirk Jansen (Technische Universiteit te Delft) 		Large-scale Inverse Problems and Quantification of Uncertainty
June 07, 2011 Ocean Uncertainty Prediction and non-Gaussian Data Assimilation with Stochastic PDEs: Bye-Bye Monte-Carlo?
Pierre Lermusiaux (Harvard University) 		Large-scale 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) 		Large-scale 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) 		Large-scale Inverse Problems and Quantification of Uncertainty
June 09, 2011 NSF SEES Presentation
Rosemary Renaut (Arizona State University) 		Large-scale Inverse Problems and Quantification of Uncertainty
June 08, 2011 A map-based approach to Bayesian inference in inverse problems
Youssef Marzouk (Massachusetts Institute of Technology) 		Large-scale Inverse Problems and Quantification of Uncertainty
June 06, 2011 Workshop Introduction
Omar Ghattas (The University of Texas at Austin) 		Large-scale Inverse Problems and Quantification of Uncertainty
June 06, 2011 Confidence in Image Reconstruction
Dianne O'Leary (University of Maryland) 		Large-scale Inverse Problems and Quantification of Uncertainty
June 07, 2011 Ensemble-based methods: filters, smoothers and iteration
Dean Oliver (University of Bergen) 		Large-scale 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)) 		Large-scale Inverse Problems and Quantification of Uncertainty
June 08, 2011 Data Assimilation and Efficient Forward Modeling for Subsurface Flow
Louis Durlofsky (Stanford University) 		Large-scale Inverse Problems and Quantification of Uncertainty
June 09, 2011 Climate Variability: Goals and Challenges
Juan Restrepo (University of Arizona) 		Large-scale Inverse Problems and Quantification of Uncertainty
June 10, 2011 Hierarchical Bayesian Modeling: Why and How
Mark Berliner (The Ohio State University) 		Large-scale Inverse Problems and Quantification of Uncertainty
June 06, 2011 Welcome to the IMA
Fadil Santosa (University of Minnesota, Twin Cities) 		Large-scale 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) 		Large-scale 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) 		Large-scale 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) 		Large-scale Inverse Problems and Quantification of Uncertainty
June 09, 2011 Hierarchical Bayesian Models for Uncertainty Quantification and Model Validation
Roger Ghanem (University of Southern California) 		Large-scale Inverse Problems and Quantification of Uncertainty
June 08, 2011 Design of simultaneous source
Eldad Haber (University of British Columbia) 		Large-scale 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 On-line Social Phenomena at Global Scales
Jon Kleinberg (Cornell University) 		Burst, Cascades, and Hot Spots: A Glimpse of Some On-Line Social Phenomena at Global Scales
September 13, 2010 Biocompatibility from the host's point of view


Howard Winet (University of California, Los Angeles) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Modeling of bacterial swarming on different surfaces
Mark Alber (University of Notre Dame) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 The biology of biofilms




Edgardo Sanabria-Valentín (Harvard Medical School) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Stem cell differentiation and the influence of microenvironment




Dennis Discher (University of Pennsylvania) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Implantable medical devices – we have come a long way, but where

next?
Darrel Untereker (Medtronic) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Continuum models of biofilms


Isaac Klapper (Montana State University) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Panel discussion on the topics of the day: major areas, challenges, and opportunities

 Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Gastrointestinal electrical stimulation: potential applications


Jiande Chen (University of Texas Medical Branch) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Deep brain stimulation models of the electrode-tissue interface
Cameron McIntyre (Case Western Reserve University) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Understanding the fluid dynamics of microorganisms: successes and challenges
Lisa Fauci (Tulane University) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 An introduction to the mathematical modeling of blood clotting
Aaron Fogelson (The University of Utah) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Understanding and manipulating bacterial growth through cell-wall modeling


Kerwyn Huang (Stanford University) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Cell-based, hybrid and continuum models of tissue dynamics: when to

use which where — ?
Hans Othmer (University of Minnesota, Twin Cities) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Biomedical applications of heat transfer: Rare cell

preservation to diseased cell destruction
John Bischof (University of Minnesota, Twin Cities) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Challenges in making MRI safe implantable devices


WanZhan Liu (Medtronic) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Mathematical tools in biomedical image processing
Chiu-Yen Kao (The Ohio State University) 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Welcome to the IMA
Markus Keel 		Medical Device-Biological Interactions at the Material-Tissue Interface
September 14, 2010 Panel discussion on the topics of the day: major areas, challenges, and opportunities

 Medical Device-Biological Interactions at the Material-Tissue Interface
September 13, 2010 Workshop opening and housekeeping


Suping Lyu (Medtronic), Qing Nie (University of California) 		Medical Device-Biological Interactions at the Material-Tissue 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
Ren-Jye Yang (Ford Motor Company) 		Design Optimization in Automotive Industry - Ren-Jye 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 Tutorial - Spectral clustering and high-dim 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 - User-friendly 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 sparsity-inducing 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 high-dimensional estimation: Statistical and computational issues
Martin Wainwright (University of California, Berkeley) 		High Dimensional Phenomena
September 30, 2011 General principles for high-dimensional estimation: Statistical and computational issues
Martin Wainwright (University of California, Berkeley) 		High Dimensional Phenomena
September 26, 2011 High-dimensional covariance estimation based on Gaussian graphical models
Shuheng Zhou (University of Michigan) 		High Dimensional Phenomena
September 27, 2011 Tutorial - User-friendly 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 M-Ellipsoids
Santosh Vempala (Georgia Institute of Technology) 		High Dimensional Phenomena
September 29, 2011 Tutorial - Structured sparsity-inducing norms through submodular functions
Francis Bach (École Normale Supérieure) 		High Dimensional Phenomena
September 26, 2011 Tutorial - Spectral clustering and high-dim stochastic block model for undirected and directed graphs
Bin Yu (University of California, Berkeley) 		High Dimensional Phenomena
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 non-normal 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
October 24, 2011 Trees, Graphs and Clusters: Learning Network Structure through Clustering
Brian Eriksson (University of Wisconsin, Madison), Robert Nowak (University of Wisconsin, Madison) 		Large Graphs: Modeling, Algorithms, and Applications

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