Campuses:

Talks

Datesort descending Title / Speaker Event
November 16, 2018 Harish-Chandra characters and the local Langlands correspondence
Tasho Kaletha (University of Michigan)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 16, 2018 Advanced Dynamics Systems Analysis and Synthesis for Future Storage Challenges
Raye Sosseh (Seagate Technology)
Industrial Problems Seminar
November 16, 2018 Constructing and characterizing a local Langlands correspondence
Michael Harris (Columbia University)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 16, 2018 Some Remarks
Robert Langlands (Institute for Advanced Study)
Sixth Abel Conference: A Mathematical Celebration of Robert P. Langlands
November 19, 2018 Lipschitz Regularized Deep Neural Networks Converge and are Robust to Adversarial Perturbations
Adam Oberman (McGill University)
Data Science Seminar
November 26, 2018 Solving PDEs with Deep Learning
Lexing Ying (Stanford University)
Data Science Seminar
November 28, 2018 Convex Relaxation Approaches for Strictly Correlated Density Functional Theory
Lexing Ying (Stanford University)
Data Science Seminar
November 29, 2018 Interpolative Decomposition and its Applications (Math Dept Colloquium Lecture)
Lexing Ying (Stanford University)
Data Science Seminar
December 03, 2018 Retail Supply Chain at Target Scale
Kaveh Khodjasteh (Target Corporation)
From Theory to Practice: Data-driven Supply Chain Management
December 03, 2018 Inventory Balancing with Online Learning
Xinshang Wang (Massachusetts Institute of Technology)
From Theory to Practice: Data-driven Supply Chain Management
December 03, 2018 The Supply Chain Management Challenges of the Future in Agriculture
Jorge Guanter (Cargill, Inc.)
From Theory to Practice: Data-driven Supply Chain Management
December 03, 2018 Absenteeism Prediction and Extra-board Driver Scheduling for Bus Transit Operations
Qie He (University of Minnesota, Twin Cities)
From Theory to Practice: Data-driven Supply Chain Management
December 04, 2018 Data-driven Supply Chain Management at Huawei
Tianxiao Chen (Huawei Technologies)
From Theory to Practice: Data-driven Supply Chain Management
December 04, 2018 Reducing Exploration in Personalized Decision-Making
Mohsen Bayati (Stanford University)
From Theory to Practice: Data-driven Supply Chain Management
December 04, 2018 The Secret Behind Fast Delivery - From Inventory Management Perspective
Rong Yuan (JD.COM)
From Theory to Practice: Data-driven Supply Chain Management
December 05, 2018 Managing a newsvendor network under uncertainty: case study of a pharmacy retailer in India
Chaithanya Bandi (Northwestern University)
From Theory to Practice: Data-driven Supply Chain Management
December 05, 2018 Interpreting Predictive Models for Human-in-the-Loop Analytics
Hamsa Bastani (Wharton School of the University of Pennsylvania)
From Theory to Practice: Data-driven Supply Chain Management
December 05, 2018 Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data
Mike Wei (University at Buffalo (SUNY))
From Theory to Practice: Data-driven Supply Chain Management
December 05, 2018 Revenue Management and Pricing with Strategic (Forward-looking) Customers
Yiwei Chen (University of Cincinnati)
From Theory to Practice: Data-driven Supply Chain Management
December 06, 2018 Simple Bayesian Algorithms for Pure-exploration
Dan Russo (Columbia University)
From Theory to Practice: Data-driven Supply Chain Management
December 06, 2018 Inventory Repositioning in On-Demand Product Rental Networks
Xiaobo Li (National University of Singapore)
From Theory to Practice: Data-driven Supply Chain Management
December 06, 2018 Statistical State Compression and Primal-Dual Pi Learning
Mengdi Wang (Princeton University)
From Theory to Practice: Data-driven Supply Chain Management
December 06, 2018 Thompson Sampling for learning in online decision making
Shipra Agrawal (Columbia University)
From Theory to Practice: Data-driven Supply Chain Management
December 07, 2018 When Seeing is not Believing: New Forensics Algorithms to Detect Image Manipulations
Michael Albright (Honeywell)
Industrial Problems Seminar
December 10, 2018 Stratifying High-Dimensional Data Based on Proximity to the Convex Hull Boundary
Lori Ziegelmeier (Macalester College)
Data Science Seminar
January 25, 2019 Probabilistic Analysis of Operational Transit Data to Create Insights for Planners
Eric Lind (Metro Transit)
Industrial Problems Seminar
January 28, 2019 Data-Driven Distributionally Robust Appointment Scheduling
Guanglin Xu (University of Minnesota, Twin Cities)
Data Science Seminar
February 04, 2019 Gromov-Monge Quasi Metrics and Distance Distributions
Tom Needham (The Ohio State University)
Data Science Seminar
February 08, 2019 Using Wearable Sensors to Predict Pain States
Kyle Srivastava (Boston Scientific)
Industrial Problems Seminar
February 11, 2019 Style Transfer by Relaxed Optimal Transport and Self-Similarity
Greg Shakhnarovich (Toyota Technological Institute at Chicago)
Data Science Seminar
February 18, 2019 Graph Convolutional Neural Network via Scattering
Dongmian Zou (University of Minnesota, Twin Cities)
Data Science Seminar
February 22, 2019 Industrial Problems in Digital Retail
Samantha Schumacher (Target Corporation)
Industrial Problems Seminar
February 25, 2019 Strong Coresets for k-Median and Subspace Approximation: Goodbye Dimension
David Woodruff (Carnegie Mellon University)
Data Science Seminar
March 01, 2019 Solar + Storage – Opportunities and Innovations
Sohan Das (EVS, Inc.)
Industrial Problems Seminar
March 04, 2019 Peculiar Properties of Locally Linear Embedding -- Toward Theoretical Understanding of Unsupervised Learning
Hau-tieng Wu (Duke University)
Data Science Seminar
March 08, 2019 Internship/Job Searching 101: Answering Your Most Asked Beginner Questions
Whitney Moore (University of Minnesota, Twin Cities)
Industrial Problems Seminar
March 11, 2019 Robust and Phaseless PCA (and Subspace Tracking)
Namrata Vaswani (Iowa State University)
Data Science Seminar
March 15, 2019 Infectious Disease Modeling in Public Health
Karyn Sutton (The Institute for Disease Modeling)
Industrial Problems Seminar
March 25, 2019 Recommendation Systems in Real Life
Mark Hsiao (Netflix, Inc)
Data Science Seminar
March 29, 2019 So, How Do You Get a Job?
Chang Lee (Lowe's)
Industrial Problems Seminar
April 01, 2019 How to Deal with Big Data? Understanding Large-scale Distributed Regression
Edgar Dobriban (Wharton School of the University of Pennsylvania)
Data Science Seminar
April 08, 2019 A Brief Overview of Quantum Computing
Vlad Pribiag (University of Minnesota, Twin Cities)
Data Science Seminar
April 12, 2019 Stating the Obvious - Job Search to Analytics Leadership
Sandhya Surapanenii (Stratasys)
Industrial Problems Seminar
April 15, 2019 Recent Advances in Wasserstein Distributionally Robust Optimization
Rui Gao (The University of Texas at Austin)
Data Science Seminar
April 22, 2019 How Hard is it to Fool a Neural Net? A Mathematical Look at Adversarial Examples
Tom Goldstein (University of Maryland)
Data Science Seminar
April 29, 2019 Accelerating 4D PhotoAcoustic Tomography
Simon Arridge (University College London)
Mathematics in Optical Imaging
April 29, 2019 Superresolution and Inverse Problems with Internal Sources
John Schotland (University of Michigan)
Mathematics in Optical Imaging
April 29, 2019 Uncertainty Characterization in Model-Based Inverse and Imaging Problems
Kui Ren (Columbia University)
Mathematics in Optical Imaging
April 29, 2019 Solving Multiscale Problems with Subsampled Data by Integrating PDE Analysis with Data Science
Thomas Hou (California Institute of Technology)
Data Science Seminar
April 29, 2019 Multifrequency acousto-optic tomography
Francis Chung (University of Kentucky)
Mathematics in Optical Imaging
April 29, 2019 Inverse Problem for Kinetic Equations
Weiran Sun (Simon Fraser University)
Mathematics in Optical Imaging
April 30, 2019 Photoacoustic Computed Tomography in Heterogeneous Acoustic Media: Status and Open Challenges
Mark Anastasio (University of Illinois at Urbana-Champaign)
Mathematics in Optical Imaging
April 30, 2019 Lecture: A General Theory of X-ray Grating Interferometer with Arbitrary Grating Combinations
Guang-Hong Chen (University of Wisconsin Medical School)
Mathematics in Optical Imaging
April 30, 2019 Nonlinear Imaging to Elucidate the Physical and Molecular Mechanisms Regulating Carcinoma Progression
Paolo Provenzano (University of Minnesota, Twin Cities)
Mathematics in Optical Imaging
April 30, 2019 Multi-photon imaging resolves border disputes in the brain
Prakash Kara (University of Minnesota, Twin Cities)
Mathematics in Optical Imaging
April 30, 2019 Nonlinear Microscopy for Imaging Deep in Scattering Tissue
Chris Xu (Cornell University)
Mathematics in Optical Imaging
May 01, 2019 Optical Imaging via Inverse Scattering

Gang Bao (Zhejiang University)

Mathematics in Optical Imaging
May 01, 2019 Lecture
Francois Monard (University of California, Santa Cruz)
Mathematics in Optical Imaging
May 01, 2019 Stationary inverse problems for transport

Francois Monard (University of California, Santa Cruz)

Mathematics in Optical Imaging
May 01, 2019 Modulated Luminescence Tomography
Plamen Stefanov (Purdue University)
Mathematics in Optical Imaging
May 01, 2019 Development of sparse grid DG methods for high dimensional PDEs
Yingda Cheng (Michigan State University)
Mathematics in Optical Imaging
May 02, 2019 Recovering Space Inhomogeneities by Means of Boltzmann Poison Systems
Irene Gamba (The University of Texas at Austin)
Mathematics in Optical Imaging
May 02, 2019 Reduced Order Models for Spectral Domain Inversion: Galerkin Equivalence and Generation of Internal Data
Shari Moskow (Drexel University)
Mathematics in Optical Imaging
May 02, 2019 Stability for quantitative Photoacoustic tomography revisited
Faouzi Triki (Université Grenoble-Alpes)
Mathematics in Optical Imaging
May 02, 2019 Quantitative analysis of metal artifacts in X-ray tomography
Yiran Wang (Stanford University)
Mathematics in Optical Imaging
May 02, 2019 Photoacoustic tomography in attenuating acoustic media
Benjamin Palacios (University of Chicago)
Mathematics in Optical Imaging
May 03, 2019 A stability estimate for the inverse electroseismic problem
Eric Bonnetier (Université Grenoble-Alpes)
Mathematics in Optical Imaging
May 03, 2019 Some Mathematics of the Fluorescence Ultrasound Modulated Optical Tomography
Yang Yang (Michigan State University)
Mathematics in Optical Imaging
May 03, 2019 Startup vs. BigCo: Industry Experiences Compared
Ben Peirce (Samsung Research America)
Industrial Problems Seminar
May 06, 2019 Robust Accelerated Gradient Methods
Mert Gurbuzbalaban (Rutgers, The State University Of New Jersey)
Data Science Seminar
June 03, 2019 Electron hydrodynamics and Hall viscosity Keywords of presentations: Hydrodynamics, Hall viscosity
Thomas Scaffidi (University of California, Berkeley)
Hydrodynamic Models for Transport in 2D Materials
June 03, 2019 Electron transport on the hexagonal Fermi surface of PdCoO2
Maja Bachmann (Max-Planck-Gesellschaft)
Hydrodynamic Models for Transport in 2D Materials
June 03, 2019 Electron hydrodynamics with a polygon Fermi surface
Andrew Lucas (Stanford University)
Hydrodynamic Models for Transport in 2D Materials
June 04, 2019 Electron Hydrodynamics in Graphene: Introduction and Status
Denis Bandurin (Massachusetts Institute of Technology)
Hydrodynamic Models for Transport in 2D Materials
June 04, 2019 Hydrodynamic magnetoplasmon resonance and Hall viscosity in resistance of correlated electron-double-layer liquids
Alex Levchenko (University of Wisconsin, Madison)
Hydrodynamic Models for Transport in 2D Materials
June 04, 2019 Acoustic plasmons at the crossover between the collisionless and hydrodynamic regimes in two-dimensional electron liquids
Marco Polini (Istituto Italiano di Tecnologia)
Hydrodynamic Models for Transport in 2D Materials
June 05, 2019 Thermal and electrical signatures of a hydrodynamic electron fluid in WP2
Fabian Menges (University of Colorado)
Hydrodynamic Models for Transport in 2D Materials
June 05, 2019 Probing Hydrodynamic Materials from First Principles
Jennifer Coulter (Harvard University)
Hydrodynamic Models for Transport in 2D Materials
June 05, 2019 Topological invariants for interface modes
Guillaume Bal (University of Chicago)
Hydrodynamic Models for Transport in 2D Materials
June 06, 2019 Welcome Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Introduction and Overview
William Vélez (University of Arizona)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Electron hydrodynamics in Dirac Systems
Joerg Schmalian (Karlsruhe Institute of Technology)
Hydrodynamic Models for Transport in 2D Materials
June 06, 2019 Data Science: What is it? Why is everyone talking about it? Should you be doing it? (You probably are already)
Rebecca Nugent (Carnegie Mellon University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Student Activity: Support Your vocals like Destiny's Child supported Beyonce
Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 A spectral decomposition approach for the conductivity response of a 2D electron fluid
Matthias Maier (Texas A & M University)
Hydrodynamic Models for Transport in 2D Materials
June 06, 2019 The Quite Reasonable Effectiveness of Mathematical Sciences
Juan Meza (National Science Foundation)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Student Activity: I know you are, but what am I?
Joy Dolo (Actor and Writer), John Gebretatose (Actor and Writer)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Mentor Activity: Attracting and Mentoring Students in A Multicultural Context
Helena Noronha (California State University Northridge), Joe Omojola (Southern University at New Orleans)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 06, 2019 Panel Discussion: Emerging Opportunities for Applied Mathematics and Data Science PhDs Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 On some examples of statistical applications
Javier Rojo (Oregon State University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Lecture
Vera Andreeva (University of Minnesota, Twin Cities)
Hydrodynamic Models for Transport in 2D Materials
June 07, 2019 Student Activity: Hands-on Statistics / Machine-Learning Tutorial

Alicia Johnson (Macalester College)

Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Mentor Activity: Bringing Industrial Applications to the Mathematics Classroom
Galin Jones (University of Minnesota, Twin Cities)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Make great money, change the world (for the better): PhD options in Management and Economics
David Hummels (Purdue University)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Panel Discussion: Emerging Opportunities for Applied Statistics and Quantitative Finance PhDs Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Student Activity: Finding your Focus in Graduate School
Roy Araiza (Purdue University), Ty Frazier (University of Minnesota, Twin Cities), Richard McGehee (University of Minnesota, Twin Cities), Adrienne Sands (University of Minnesota, Twin Cities)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 07, 2019 Mentor Activity: Creating an Action Plan
Joe Omojola (Southern University at New Orleans), William Vélez (University of Arizona)
Career Paths in the Mathematical Sciences: An IMA / Math Alliance Workshop
June 17, 2019 Not knot
Jennifer Schultens (University of California, Davis)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 17, 2019 Nonlinear mechanics of elastic structures: rods
Gert van der Heijden (Imperial College London)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications
June 17, 2019 What is Discrete Differential Geometry?
Peter Schroeder (California Institute of Technology)
Biology, Analysis, Geometry, Energies, Links [bagel19]: A Program on Low-dimensional Topology, Geometry, and Applications

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