Campuses:

Talks

Date Title / Speaker Eventsort ascending
October 17, 2019 Computational Imaging: Beyond the limits imposed by lenses
Ashok Veeraraghavan (Rice University)
Computational Imaging
October 14, 2019 Welcome Remarks Computational Imaging
October 16, 2019 Geometry of Convolutional Neural Networks for Computational Imaging
Jong Chul Ye (Korea Advanced Institute of Science and Technology (KAIST))
Computational Imaging
October 14, 2019 Computational Microscopy
Laura Waller (University of California, Berkeley)
Computational Imaging
October 16, 2019 Novel CT Data Acquisition and Processing
Joseph Stayman (Johns Hopkins University)
Computational Imaging
October 15, 2019 Affiliated Data Science Seminar: Simple Approaches to Complicated Data Analysis
Deanna Needell (University of California, Los Angeles)
Computational Imaging
October 14, 2019 Interpreting Photon and Electron Detections to Form Images
Vivek Goyal (Boston University)
Computational Imaging
October 16, 2019 Machine Learning for Tomographic Imaging
Ge Wang (Rensselaer Polytechnic Institute)
Computational Imaging
October 14, 2019 Surfing the Technology Wave 2019 and Algorithm-Hardware Co-Design - Industry Perspective + Q&A
Sergio Goma (QUALCOMM)
Computational Imaging
October 16, 2019 Data and Image Domain Deep Learning for Tomographic Computational Imaging
W. Clem Karl (Boston University)
Computational Imaging
October 14, 2019 Dictionary and model-based methods in quantitative MRI reconstruction
Mariya Doneva (Philips Research Laboratory)
Computational Imaging
October 17, 2019 Welcome Remarks Computational Imaging
October 14, 2019 A simple 2D graphing tool for the convergence of fixed-point iterations and plug-and-play methods
Wotao Yin (University of California, Los Angeles)
Computational Imaging
October 17, 2019 Three Short Stories About Image Denoising
Mario Figueiredo (Instituto Superior Tecnico)
Computational Imaging
October 14, 2019 Data Compression in Distributed Learning
Ming Yan (Michigan State University)
Computational Imaging
October 17, 2019 Fourier Multispectral Imaging
Keigo Hirakawa (University of Dayton)
Computational Imaging
October 15, 2019 Welcome Remarks Computational Imaging
October 17, 2019 Modeling and removal of correlated noise using nonlocal patch-based collaborative filters, with applications to direct and inverse imaging
Alessandro Foi (Tampere University of Technology)
Computational Imaging
October 15, 2019 Cryo-Electron Microscopy Image Analysis with Multi-Frequency Vector Diffusion Maps
Zhizhen (Jane) Zhao (University of Illinois at Urbana-Champaign)
Computational Imaging
October 14, 2019 Tutorial on Julia Programming for Computational Imaging
Jeff Fessler (University of Michigan)
Computational Imaging
October 15, 2019 Imaging the Unseen: Taking the First Picture of a Black Hole
Katie Bouman (California Institute of Technology)
Computational Imaging
October 17, 2019 Computational Imaging: From structured low-rank methods to model based deep learning.
Mathews Jacob (The University of Iowa)
Computational Imaging
June 05, 2019 Probing Hydrodynamic Materials from First Principles
Jennifer Coulter (Harvard University)
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 07, 2019 Lecture
Vera Andreeva (University of Minnesota, Twin Cities)
Hydrodynamic Models for Transport in 2D Materials
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 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 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 05, 2019 Topological invariants for interface modes
Guillaume Bal (University of Chicago)
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 06, 2019 Electron hydrodynamics in Dirac Systems
Joerg Schmalian (Karlsruhe Institute of Technology)
Hydrodynamic Models for Transport in 2D Materials
August 19, 2019 WIGA Goals
Linda Lesniak (Western Michigan University)
Workshop for Women in Graph Theory and Applications (WIGA)
August 19, 2019 Introduction to teams and topics: Teams 1 - 3
Jill Faudree (University of Alaska), Daniela Ferrero (Texas State University-San Marcos), Leslie Hogben (Iowa State University), Christine Kelley (University of Nebraska), Linda Lesniak (Western Michigan University), Gretchen Matthews (Virginia Polytechnic Institute and State University)
Workshop for Women in Graph Theory and Applications (WIGA)
August 19, 2019 Introduction to teams and topics: Teams 4 - 6
Debra Boutin (Hamilton College), Sally Cockburn (Hamilton College), Linda Eroh (University of Wisconsin at Oshkosh), Ruth Haas (University of Hawaii at Manoa), Ortud Oellermann (University of Winnipeg), Karen Seyffarth (University of Calgary)
Workshop for Women in Graph Theory and Applications (WIGA)
August 22, 2019 Old and new problems on hypercubes
Fan Chung Graham (University of California, San Diego)
Workshop for Women in Graph Theory and Applications (WIGA)
June 20, 2019 Private Algorithms for High-Dimensional Gaussians
Jonathan Ullman (Northeastern University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 The Structure of Optimal Private Tests for Simple Hypotheses
Audra McMillan (University of California, Berkeley)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Thomas Steinke (IBM Research Division)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Locally private learning, estimation, inference and optimality
Feng Ruan (Stanford University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Individual Sensitivity Preprocessing for Data Privacy
Rachel Cummings (Georgia Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Industrial Panel Discussion on Robustness, Fairness and Privacy Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Algorithmic Questions in High-Dimensional Robust Statistics
Ilias Diakonikolas (University of Southern California)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 21, 2019 How Robust are Reconstruction Thresholds for Community Detection?
Ankur Moitra (Massachusetts Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Robust Subspace Recovery with Adversarial Outliers
Tyler Maunu (Massachusetts Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 21, 2019 Gaps in Information Access in Social Networks
Suresh Venkatasubramanian (The University of Utah)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Mean estimation for entangled single-sample distributions
Po-Ling Loh (University of Wisconsin, Madison)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 21, 2019 Locally Private Bayesian Inference for Count Models
Steven Wu (University of Minnesota, Twin Cities)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Learning Models with Uniform Performance via Distributionally Robust Optimization
John Duchi (Stanford University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 20, 2019 Towards Practical Notions of Individual Fairness
Aaron Roth (University of Pennsylvania)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 18, 2019 Predictive inference with the jackknife+
Rina Barber (University of Chicago)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 The implicit fairness criterion of unconstrained learning
Moritz Hardt (University of California, Berkeley)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 Fairness, Accountability, and Transparency: Adventures with predictive models in criminal justice
Kristian Lum (Human Rights Data Analysis Group (HRDAG))
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 A Complexity-Theoretic Perspective on Algorithmic Fairness
Omer Reingold (Stanford University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 Fair PCA
Samira Samadi (Georgia Institute of Technology)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
June 19, 2019 The Measure and Mismeasure of Fairness
Sharad Goel (Stanford University)
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness
July 23, 2019 Machine-Learning the String Theory Landscape: Beyond SageMath and Macaulay2
Yang-Hui He (University of London)
SageMath and Macaulay2 - An Open Source Initiative
July 24, 2019 Normalized Antics: Polyhedral Computation in an Irrational Age
Matthias Koeppe (University of California, Davis)
SageMath and Macaulay2 - An Open Source Initiative
July 24, 2019 Polytope algebra, tropical geometry, and Chow cohomology of toric varieties
Josephine Yu (Georgia Institute of Technology)
SageMath and Macaulay2 - An Open Source Initiative
July 22, 2019 Proofs and computations: The story of alternating sign matrices and plane partitions in Sage
Jessica Striker (North Dakota State University)
SageMath and Macaulay2 - An Open Source Initiative
July 22, 2019 Using Macaulay2 effectively in practice
Michael Stillman (Cornell University)
SageMath and Macaulay2 - An Open Source Initiative
July 23, 2019 Smooth Hilbert schemes
Gregory Smith (Queen's University)
SageMath and Macaulay2 - An Open Source Initiative
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
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
April 29, 2019 Multifrequency acousto-optic tomography
Francis Chung (University of Kentucky)
Mathematics in Optical Imaging
May 02, 2019 Stability for quantitative Photoacoustic tomography revisited
Faouzi Triki (Université Grenoble-Alpes)
Mathematics in Optical Imaging
April 29, 2019 Inverse Problem for Kinetic Equations
Weiran Sun (Simon Fraser University)
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 01, 2019 Lecture
Francois Monard (University of California, Santa Cruz)
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
May 02, 2019 Photoacoustic tomography in attenuating acoustic media
Benjamin Palacios (University of Chicago)
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
May 03, 2019 A stability estimate for the inverse electroseismic problem
Eric Bonnetier (Université Grenoble-Alpes)
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
May 03, 2019 Some Mathematics of the Fluorescence Ultrasound Modulated Optical Tomography
Yang Yang (Michigan State University)
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 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 01, 2019 Stationary inverse problems for transport

Francois Monard (University of California, Santa Cruz)

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
April 29, 2019 Accelerating 4D PhotoAcoustic Tomography
Simon Arridge (University College London)
Mathematics in Optical Imaging
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 04, 2018 Reducing Exploration in Personalized Decision-Making
Mohsen Bayati (Stanford University)
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 03, 2018 Retail Supply Chain at Target Scale
Kaveh Khodjasteh (Target Corporation)
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 Inventory Balancing with Online Learning
Xinshang Wang (Massachusetts Institute of Technology)
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

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