Campuses:

Talks

Date Title / Speaker Event
March 17, 2016 Model reduction for control of infinite-dimensional systems in industrial applications
Milos Ilak (United Technologies Corporation)
Computational Methods for Control of Infinite-dimensional Systems
March 17, 2016 Optimal and Robust Sensor Placement
Carlos Rautenberg (Humboldt-Universität)
Computational Methods for Control of Infinite-dimensional Systems
March 17, 2016 Optimal Actuator/sensor Location for Distributed Parameter Systems
Kirsten Morris (University of Waterloo)
Computational Methods for Control of Infinite-dimensional Systems
March 16, 2016 Experimental Design for Dynamical Systems
Eldad Haber (University of British Columbia)
Computational Methods for Control of Infinite-dimensional Systems
March 16, 2016 Stability and Stabilization of Piezoelectric Material in the port-Hamiltonian Setting
Jacquelien Scherpen (Rijksuniversiteit te Groningen)
Computational Methods for Control of Infinite-dimensional Systems
March 16, 2016 Optimal control of parabolic PDE systems modeling populations
Suzanne Lenhart (University of Tennessee)
Computational Methods for Control of Infinite-dimensional Systems
March 16, 2016 Reduced Order Model Stabilization for Partial Differential Equations based on Lyapunov Theory and Extremum Seeking with Applications to the Burgers' and Boussinesq equations
Mouhacine Benosman (Mitsubishi Electric Research Laboratories)
Computational Methods for Control of Infinite-dimensional Systems
March 16, 2016 Approximate solutions of Lyapunov and Riccati equations
Mark Opmeer (University of Bath)
Computational Methods for Control of Infinite-dimensional Systems
March 16, 2016 Balanced POD Model Reduction for PDE Systems
John Singler (Missouri University of Science and Technology)
Computational Methods for Control of Infinite-dimensional Systems
March 16, 2016 Lecture
Max Gunzburger (Florida State University)
Computational Methods for Control of Infinite-dimensional Systems
March 15, 2016 Estimation of Distributed Parameters in Permittivity Models of Composite Dielectric Materials Using Reflectance
Harvey Banks (North Carolina State University)
Computational Methods for Control of Infinite-dimensional Systems
March 15, 2016 An Overview of Approximation Methods for Control of PDEs
Fariba Fahroo (DARPA)
Computational Methods for Control of Infinite-dimensional Systems
March 15, 2016 Regularization based on all-at-once formulations for inverse problems
Barbara Kaltenbacher (Universität Klagenfurt)
Computational Methods for Control of Infinite-dimensional Systems
March 15, 2016 Mathematical Issues in Ionospheric Data Assimilation
Chunming Wang (University of Southern California)
Computational Methods for Control of Infinite-dimensional Systems
March 15, 2016 Inverse Problems in Medical Imaging and Computer Vision
Allen Tannenbaum (State University of New York, Stony Brook (SUNY))
Computational Methods for Control of Infinite-dimensional Systems
March 14, 2016 Optimal control of systems governed by PDEs with random parameter fields using quadratic approximations
Omar Ghattas (The University of Texas at Austin)
Computational Methods for Control of Infinite-dimensional Systems
March 14, 2016 PDE Constrained Optimization with Uncertain Data
Matthias Heinkenschloss (Rice University)
Computational Methods for Control of Infinite-dimensional Systems
March 14, 2016 Optimization of Distributed Feedback Controllers for a Nonlinear Parabolic Integro-differential Equation
Fredi Troeltzsch (Technische Universität Berlin)
Computational Methods for Control of Infinite-dimensional Systems
March 14, 2016 Linear-Quadratic Control of Stochastic Equations in a Hilbert Space with Fractional Brownian Motions
Tyrone Duncan (University of Kansas)
Computational Methods for Control of Infinite-dimensional Systems
March 14, 2016 Recent Trends in Optimal Control Problems with Nonsmooth Structures
Michael Hintermüller (Humboldt-Universität)
Computational Methods for Control of Infinite-dimensional Systems
March 11, 2016 Big Data Challenges Facing Digital Marketers
Lanhui Wang (MaxPoint)
Industrial Problems Seminar
March 10, 2016 Modeling Tsunamis and Other Geohazards
Randall LeVeque
Public Lecture Series
March 08, 2016 Incremental Methods for Additive Convex Cost Optimization
Asuman Ozdaglar (Massachusetts Institute of Technology)
Data Science Seminar
March 07, 2016 Fast, Robust and Non-convex Subspace Recovery
Gilad Lerman (University of Minnesota, Twin Cities)
2015-2016 Postdoc Seminar Series
March 04, 2016 Group-theoretic Algorithms for Matching Problems with Applications to Computer Vision
Deepti Pachauri (3M)
Industrial Problems Seminar
March 01, 2016 Adaptive Sketching and Validation to Learn from Large-Scale Data
Georgios Giannakis (University of Minnesota, Twin Cities)
Data Science Seminar
February 26, 2016 The Role of Mathematical Modeling and Optimization in Power Grid
Mihai Anitescu (Argonne National Laboratory)
Industrial Problems Seminar
February 25, 2016 Controllability of a Cochlea Model and Related Fluid Elastic Systems
Scott Hansen (Iowa State University)
Annual Program Seminar Series
February 24, 2016 Stochastic Integer Programming: Parallel distributed-memory Algorithms
Deepak Rajan (Lawrence Livermore National Laboratory)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 24, 2016 Reliability Prediction Framework for Implantable Medical Devices
Wei Gan (Medtronic)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 24, 2016 Energy Drift in Molecular Dynamics Simulations: What causes it, can we quantify its affects, and should we even try?
Paul Patrone (National Institute of Standards and Technology)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 24, 2016 Challenges and Opportunities of Optimization for Smart Grid
Yigang Wang (Eaton Corporation)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 24, 2016 Tractable Experiment Design via Mathematical Surrogates
Brian Williams (Los Alamos National Laboratory)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 23, 2016 I'm sorry, Dave. I'm afraid I can't do that: Linguistics, Statistics, and Artificial Intelligence in the Big Data Era
Lillian Lee (Cornell University)
Public Lecture Series
February 23, 2016 Quantification and Management of Model Uncertainty in Simulation-Based Vehicle Design
Zhen Jiang (Ford Motor Company)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 23, 2016 Computationally Expensive Multi-objective Optimization
Juliane Mueller (Lawrence Berkeley Laboratory)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 23, 2016 Recovering the Best Polynomial Approximation of High-dimensional Parameterized Equations
Clayton Webster (Oak Ridge National Laboratory)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 23, 2016 Challenges and Opportunities for Optimization-based Workflow in Industry
Rui Huang (United Technologies Corporation)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 23, 2016 Stochastic Geometry and Wireless Networks
Francois Baccelli (The University of Texas at Austin)
Data Science Seminar
February 23, 2016 Utilizing Adjoint-Based Techniques to Improve the Accuracy and Reliability in Uncertainty Quantification
Timothy Wildey (Sandia National Laboratories)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 23, 2016 Multiscale Modeling in Support of Product Design.
Roger Ghanem (University of Southern California)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 23, 2016 Lifetime Assurance of Lead-Acid Energy Storage Systems
Ben Lee (Siemens AG)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 23, 2016 Intuition and Analytics in Business Decision Making
Karl Kempf (Intel Corporation)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 23, 2016 A New Approach to Stochastic Inverse Problems for Scientific Inference
Donald Estep (Colorado State University)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 22, 2016 Should You Derive or Let the Data Drive? Towards a Hybrid Physics-based Data-driven Symbiosis
Lior Horesh (IBM)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 22, 2016 Industry Challenges in Uncertainty Quantification, Model Calibration and Discrepancy
Liping Wang (General Electric Corp., Research and Development Center)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 22, 2016 Analysis of the Power System Stability Under Uncertainty
Alexandre Tartakovsky (Pacific Northwest National Laboratories)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 22, 2016 Industrial Operations Researcher Practitioner’s Wish List
Laura Kang (The Boeing Company)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 22, 2016 Optimization, Learning, and Processes
Stephen Wright (University of Wisconsin, Madison)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 22, 2016 Mixed-Integer PDE Constrained Optimization
Sven Leyffer (Argonne National Laboratory)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 22, 2016 An Approach Based on Hierarchical Bayesian Graphical Models (HBGM) for Measurement Interpretation and Parameter Estimation Under Uncertainty
Maja Skataric (Schlumberger-Doll Research)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 22, 2016 National Laboratories & Industry: “What’s our tire company going to do with a nuclear weapons lab?”
Loren Miller (DataMetric Innovations LLC)
Research Collaboration Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications
February 19, 2016 Building the General-purpose Factory
Haldean Brown (Plethora)
Industrial Problems Seminar
February 18, 2016 Some Remarks on Controllability and Time Optimal Control for Infinite Dimensional Dynamical Systems
Marius Tucsnak (Université de Bordeaux I)
Annual Program Seminar Series
February 16, 2016 Envelopes: Methods for Improving Efficiency in Multivariate Statistics
Dennis Cook (University of Minnesota, Twin Cities)
Data Science Seminar
February 15, 2016 Some Relationships Between the Information Theory and Convex Geometry
Arnaud Marsiglietti (University of Minnesota, Twin Cities)
2015-2016 Postdoc Seminar Series
February 12, 2016 Modeling and Analysis of Electric Power Systems Problems: Bridge the Gap Between Research and Industry
Dongbo Zhao (Eaton Corporation)
Industrial Problems Seminar
February 11, 2016 Effect of Dynamic Network's Topology on Performance and Stability
Yoonsoo Kim (Gyeongsang National University)
Annual Program Seminar Series
February 09, 2016 Indirect Multivariate Response Linear Regression
Adam Rothman (University of Minnesota, Twin Cities)
Data Science Seminar
February 08, 2016 Stochastic Models for Human Driving Behavior and Applications to Semi-autonomous Safety Systems
Daniel Hoehener (Massachusetts Institute of Technology)
2015-2016 Postdoc Seminar Series
February 05, 2016 Advanced Healthcare Research and Analytics: Catching fraud, Removing Waste, Finding Providers, and Happy Consumers
Jason Haupt (UnitedHealth Group)
Industrial Problems Seminar
February 04, 2016 Using Approximations in Controller Synthesis for Systems Modelled by Partial Differential Equations
Kirsten Morris (University of Waterloo)
Annual Program Seminar Series
February 02, 2016 Methodological Aspects of Predictive Data Analytics and VC-theory
Vladimir Cherkassky (University of Minnesota, Twin Cities)
Data Science Seminar
February 01, 2016 On Optimal Low-rank Approximation of Non-negative Matrices
Christian Grussler (Lund University)
2015-2016 Postdoc Seminar Series
January 29, 2016 Entropic and Displacement Interpolation of Densities: A Computational Approach Based on the Hilbert Metric
Tryphon Georgiou
Optimization and Parsimonious Modeling
January 29, 2016 Linear System Theory and Semidefinite Representations of Atomic Norms
Lieven Vandenberghe (University of California, Los Angeles)
Optimization and Parsimonious Modeling
January 28, 2016 Convex Geometry for Structured Signal Recovery: New Results in Super-Resolution and Total Variation Minimization
Weiyu Xu (The University of Iowa)
Optimization and Parsimonious Modeling
January 28, 2016 Finding Planted Subgraphs using the Schur-Horn Relaxation
Venkat Chandrasekaran (California Institute of Technology)
Optimization and Parsimonious Modeling
January 28, 2016 Dynamics-based Information Extraction: A Hybrid Systems Approach
Necmiye Ozay (University of Michigan)
Optimization and Parsimonious Modeling
January 28, 2016 Tensor Low-Rank Completion and Invariance of the Tucker Core
Shuzhong Zhang (University of Minnesota, Twin Cities)
Optimization and Parsimonious Modeling
January 28, 2016 Convex Optimization & Parsimony of L_p-balls Representation
Jean Lasserre (Centre National de la Recherche Scientifique (CNRS))
Optimization and Parsimonious Modeling
January 27, 2016 Global Optimality in Matrix and Tensor Factorization, Deep Learning, and Beyond
René Vidal (Johns Hopkins University)
Optimization and Parsimonious Modeling
January 27, 2016 Globally Optimal and Robust k-means Clustering via Convex Optimization
Rachel Ward (The University of Texas at Austin)
Optimization and Parsimonious Modeling
January 27, 2016 Level-set Methods for Convex Optimization
Michael Friedlander (University of California)
Optimization and Parsimonious Modeling
January 27, 2016 Low-rank Matrix Completion under Monotonic Transformation
Laura Balzano (University of Michigan)
Optimization and Parsimonious Modeling
January 27, 2016 Grothendieck Constant and Structured Matrix Computations
Lek-Heng Lim (University of Chicago)
Optimization and Parsimonious Modeling
January 27, 2016 Crouzeix's Conjecture
Michael Overton (New York University)
Optimization and Parsimonious Modeling
January 26, 2016 Stochastic Dynamical Modeling: Structured Matrix Completion of Partially Available Statistics
Mihailo Jovanovic (University of Minnesota, Twin Cities)
Optimization and Parsimonious Modeling
January 26, 2016 Your Dreams May Come True with MTP2...
Caroline Uhler (Massachusetts Institute of Technology)
Optimization and Parsimonious Modeling
January 26, 2016 Optimal Gradient Methods for Nonlinear Optimization
Hongchao Zhang (Louisiana State University)
Optimization and Parsimonious Modeling
January 26, 2016 Optimal Experimental Design with Polynomial Optimization
Didier Henrion (Centre National de la Recherche Scientifique (CNRS))
Optimization and Parsimonious Modeling
January 26, 2016 Applying Subgradient Methods -- and Accelerated Gradient Methods -- to Efficiently Solve General Convex, Conic Optimization Problems
James Renegar (Cornell University)
Optimization and Parsimonious Modeling
January 25, 2016 Revisiting Nesterov’s Acceleration
Sébastien Bubeck (Microsoft)
Optimization and Parsimonious Modeling
January 25, 2016 Asynchronous Parallel Computing in Signal Processing and Machine Learning
Wotao Yin (University of California, Los Angeles)
Optimization and Parsimonious Modeling
January 25, 2016 Conjugate Interior Point Method for Large-Scale Problems
Aleksandr Aravkin (University of Washington)
Optimization and Parsimonious Modeling
January 25, 2016 Eigenvectors of Tensors
Bernd Sturmfels (University of California, Berkeley)
Optimization and Parsimonious Modeling
January 22, 2016 Interviewing Tips for Industry
Whitney Moore (University of Minnesota, Twin Cities)
Industrial Problems Seminar
January 19, 2016 Fast Algorithm for Robust Subspace Recovery
Tyler Maunu (University of Minnesota, Twin Cities)
Data Science Seminar
December 15, 2015 Computational Analysis and Applications of Diffusion MRI
Christophe Lenglet (University of Minnesota, Twin Cities)
Data Science Seminar
December 14, 2015 Arbitrage and Hedging Under Model Uncertainty
Zhou Zhou (University of Minnesota, Twin Cities)
2015-2016 Postdoc Seminar Series
December 11, 2015 Towards Lights Out Electronics Manufacturing
Jeff McAlvay (Tempo Automation)
Industrial Problems Seminar
December 10, 2015 Non-smooth and Non-convex Optimization
Kazufumi Ito (North Carolina State University)
Annual Program Seminar Series
December 08, 2015 Locating Outliers in Large Matrices with Adaptive Compressive Sampling
Jarvis Haupt (University of Minnesota, Twin Cities)
Data Science Seminar
December 07, 2015 ARock: Asynchronous Parallel Coordinate Update
Yangyang Xu (University of Minnesota, Twin Cities)
2015-2016 Postdoc Seminar Series
December 04, 2015 Magnetic Refrigeration From Laboratory to Products
Steve Russek (Astronautics Corporation of America)
Industrial Problems Seminar
December 03, 2015 Variational Calculus, Sums of Squares and Moment Problems
Farhad Jafari (University of Wyoming)
Annual Program Seminar Series
December 01, 2015 Understanding Global Change: Opportunities and Challenges for Data Driven Research
Vipin Kumar (University of Minnesota, Twin Cities)
Data Science Seminar
November 30, 2015 Disturbance Attenuation in Mass Chains with Passive Interconnection
Kaoru Yamamoto (University of Minnesota, Twin Cities)
2015-2016 Postdoc Seminar Series
November 24, 2015 Reconstructing the Farm, Keeping an Eye on the Environment (with Robots)
Volkan Isler (University of Minnesota, Twin Cities)
Data Science Seminar
November 23, 2015 Modeling and Control of Collective Dynamics
Yongxin Chen (University of Minnesota, Twin Cities)
2015-2016 Postdoc Seminar Series

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