Campuses:

Talks

Date Title / Speaker Eventsort descending
May 21, 2018 Introduction to (Co)Sheaves and Open Problems
Justin Curry (University at Albany (SUNY))
Bridging Statistics and Sheaves
May 25, 2018 Lecture
Vin de Silva (Pomona College)
Bridging Statistics and Sheaves
May 21, 2018 Reeb graphs, Mapper graphs, and Metrics
Elizabeth Munch (Michigan State University)
Bridging Statistics and Sheaves
May 21, 2018 Statistical models and sheaves
Sayan Mukherjee (Duke University)
Bridging Statistics and Sheaves
May 21, 2018 How many directions determine shape and other sufficiency results for topological transforms
Katharine Turner (Australian National University)
Bridging Statistics and Sheaves
May 21, 2018 Open Problems in Sheaves of Measured Data
Emilie Purvine (Pacific Northwest National Laboratory)
Bridging Statistics and Sheaves
May 22, 2018 Persistent homology and microlocal sheaf theory
Pierre Schapira (Université de Paris VI (Pierre et Marie Curie))
Bridging Statistics and Sheaves
May 23, 2018 Local-to-global in random topology
Omer Bobrowski (Technion-Israel Institute of Technology)
Bridging Statistics and Sheaves
May 22, 2018 Persistent Local Systems
Amit Patel (Colorado State University)
Bridging Statistics and Sheaves
May 23, 2018 Lecture
Robert Ghrist (University of Pennsylvania)
Bridging Statistics and Sheaves
May 24, 2018 Synchronization Problems: From Geometry to Learning
Tingran Gao (University of Chicago)
Bridging Statistics and Sheaves
May 23, 2018 Cellular cosheaves for distributed computation of persistent homology
Hee Rhang (Iris) Yoon (University of Pennsylvania)
Bridging Statistics and Sheaves
May 23, 2018 Multiparameter Persistence via Geometric Topology
Michael Catanzaro (University of Florida)
Bridging Statistics and Sheaves
May 24, 2018 Connectivity and Coverage in Multilayer Networks
Prithwish Basu (Bolt Beranek and Newman (BBN) Laboratories, Inc.)
Bridging Statistics and Sheaves
May 22, 2018 Stratification Learning with Computational Topology: Overview, Challenges, and Opportunities
Bei Wang (The University of Utah)
Bridging Statistics and Sheaves
May 24, 2018 Measuring and exploiting data-model fit with sheaves
Michael Robinson (American University)
Bridging Statistics and Sheaves
May 24, 2018 Connecting Measures with Sheaves
Anthea Monod (Columbia University)
Bridging Statistics and Sheaves
October 26, 2017 Towards Spatial Data Science for Smart Agriculture Big Data
Shashi Shekhar (University of Minnesota, Twin Cities)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 Industry panel
Jason Cepela (PepsiCo, Inc.), Brian King (International Center for Tropical Agriculture (CIAT)), Vipin Kumar (University of Minnesota, Twin Cities), David LeBauer (University of Illinois at Urbana-Champaign), Philip Pardey (University of Minnesota, Twin Cities), Nathan Springer (University of Minnesota, Twin Cities)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 Keynote
Patrick Schnable (Iowa State University)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 Robotic Data Gathering for Agricultural Monitoring
Volkan Isler (University of Minnesota, Twin Cities)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 A deluge of information: Advancing science with big data in the atmospheric sciences
Aaron Kennedy (University of North Dakota)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 Unmanned Aerial System (UAS) Data Revolution in Precision Agriculture
Sreekala Bajwa (North Dakota State University)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 Precision Agriculture Sensing Systems
Qiquan Qiao (South Dakota State University)
Agricultural Data Integration: From Genomics to Unmanned Systems
October 26, 2017 Midwest Big Data Hub: Activities and collaborations for the Ag-Food-Energy-Water data ecosystem
Melissa Cragin (University of Illinois at Urbana-Champaign)
Agricultural Data Integration: From Genomics to Unmanned Systems
August 14, 2017 Diffusive Molecular Dynamics
Michael Ortiz (California Institute of Technology)
Working Group on Multiscale Strategies
August 14, 2017 Spin-Diffusions and Diffusive Molecular Dynamics
Gideon Simpson (Drexel University)
Working Group on Multiscale Strategies
August 15, 2017 Mathematical Modeling and Numerical Analysis for Incommensurate 2D Materials
Mitchell Luskin (University of Minnesota, Twin Cities)
Working Group on Multiscale Strategies
August 10, 2017 Blended QC Methods for Multilattices
Derek Olson (Rensselaer Polytechnic Institute)
Working Group on Multiscale Strategies
August 15, 2017 2D Materials
Pilar Ariza (Escuela Técnica Superior de Ingeniería)
Working Group on Multiscale Strategies
August 16, 2017 Hamilton-Jacobi from large deviation theory, statistical mechanics and classical continuum mechanics
Jin Feng (University of Kansas)
Working Group on Multiscale Strategies
August 17, 2017 Master-equation Approach to Mesoscale Description of Epitaxial Growth
Dionisios Margetis (University of Maryland)
Working Group on Multiscale Strategies
August 07, 2017 Unexpected thermodynamic properties of some exact far-from-equilibrium solutions in molecular dynamics
Richard James (University of Minnesota, Twin Cities)
Working Group on Multiscale Strategies
August 07, 2017 On crack branching in dynamic Griffith fracture
Christopher Larsen (Worcester Polytechnic Institute)
Working Group on Multiscale Strategies
August 08, 2017 Non-equilibrium measurements of transport coefficients
Celia Reina (University of Pennsylvania)
Working Group on Multiscale Strategies
August 09, 2017 Challenges and Recent Developments in Electronic Structure Calculations
Vikram Gavini (University of Michigan)
Working Group on Multiscale Strategies
August 09, 2017 Canonical Structure of Irreversible Markov Chains and Applications
Johannes Zimmer (University of Bath)
Working Group on Multiscale Strategies
August 10, 2017 Multiscale Modeling of Defects in Atomic Monolayers Undergoing Complex Bending Deformation
Kaushik Dayal (Carnegie Mellon University)
Working Group on Multiscale Strategies
August 11, 2017 Homoenergetic Solutions for the Boltzmann Equation
Alessia Nota (Universitaet Bonn)
Working Group on Multiscale Strategies
November 17, 2017 Optimal Control of Nonholonomic Mechanical Systems
Stuart Rogers (University of Minnesota, Twin Cities)
Postdoc Seminar Series
December 01, 2017 Lecture
Stuart Rogers (University of Minnesota, Twin Cities)
Postdoc Seminar Series
September 29, 2017 Online change-point detection in high dimensional Gaussian graphical models
Hossein Keshavarz (University of Minnesota, Twin Cities)
Postdoc Seminar Series
October 06, 2017 A Copositive Perspective on Two-Stage Adjustable Robust Linear Optimization with Uncertain Right-Hand Sides
Guanglin Xu (University of Minnesota, Twin Cities)
Postdoc Seminar Series
October 13, 2017 A Data-Driven Distributionally Robust Bound on the Expected Optimal Value of Uncertain Mixed 0-1 Linear Programming
Guanglin Xu (University of Minnesota, Twin Cities)
Postdoc Seminar Series
October 27, 2017 Phaseless reconstruction: A frame theoretical approach, Part 1
Dongmian Zou (University of Minnesota, Twin Cities)
Postdoc Seminar Series
November 03, 2017 Phaseless reconstruction: A frame theoretical approach, Part 2
Dongmian Zou (University of Minnesota, Twin Cities)
Postdoc Seminar Series
November 10, 2017 Improved support recovery guarantees for the group Lasso with applications to structural health monitoring
Mojtaba Elyaderani (3M)
Postdoc Seminar Series
September 22, 2017 Local Inversion-Free covariance estimation for Gaussian Spatial Processes
Hossein Keshavarz (University of Minnesota, Twin Cities)
Postdoc Seminar Series
December 05, 2017 Snow Business: Scientific Computing in the Movies and Beyond
Joseph Teran (University of California, Los Angeles)
Public Lecture Series
February 21, 2018 Impossible Objects: The Mathematics of 3D Illusions
Kokichi Sugihara (Meiji University)
Public Lecture Series
March 06, 2018 Connecting physics based and data driven models: the best of two worlds
Herman van der Auweraer (Siemens)
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins
March 06, 2018 Predicting Rare Events in Complex Systems
Tuhin Sahai (United Technologies Corporation)
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins
March 06, 2018 Globally Optimal, Data-Driven Symbolic Discovery
Lior Horesh (IBM)
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins
March 06, 2018 Understanding the Simulation Revolution
Joe Walsh (ASSESS Initiative)
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins
March 07, 2018 Understanding and predicting physiological resistance with simulation and topological analysis
Drew Pruett (University of Mississippi)
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins
March 07, 2018 Virtual Patients Derived from the CareLink Database
Benyamin Grosman (Medtronic)
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins
March 07, 2018 Brain clouds and Diffeomorphimetry in the soft condensed matter continuum
Michael Miller (Johns Hopkins University)
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins
March 07, 2018 Incorporating simulated virtual patient outcomes as prior information in medical device clinical trials
Adam Himes (Medtronic)
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins
March 08, 2018 Physics-Constrained Data-Driven Modeling : A Vision for Prediction, Design and Operation of Complex Systems
Karthik Duraisamy (University of Michigan)
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins
March 08, 2018 Using Simulations for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction
Garrett Goh (Pacific Northwest National Laboratory)
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins
March 06, 2018 Enabling High-Fidelity Digital Twins of Critical Assets via Reduced Order Modeling
David Knezevic (Akselos)
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins
May 30, 2018 Cytoskeletal mechanics of asymmetrically dividing cells: a mathematical modelling perspective
Blerta Shtylla (Pomona College)
Workshop for Women in Mathematical Biology
May 31, 2018 Embracing complexity of the tumor microenvironment for personalized medicine
Katarzyna Rejniak (Moffitt Cancer Center)
Workshop for Women in Mathematical Biology
May 31, 2018 A Mathematical Model of the Bivalent Binding of Thrombin to Fibrin
Karin Leiderman (Colorado School of Mines)
Workshop for Women in Mathematical Biology
May 31, 2018 Flagellated micro-swimmers in a viscous fluid
Sookkyung Lim (University of Cincinnati)
Workshop for Women in Mathematical Biology
May 29, 2018 Parameter identifiability and uncertainty in modeling infectious disease interventions
Marisa Eisenberg (University of Michigan)
Workshop for Women in Mathematical Biology
May 29, 2018 Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization
Ching-Shan Chou (The Ohio State University)
Workshop for Women in Mathematical Biology
May 29, 2018 Identifying robust cancer treatment protocols from small experimental datasets
Jana Gevertz (The College of New Jersey)
Workshop for Women in Mathematical Biology
May 29, 2018 Modeling Prion Replication within a Growing Yeast Population
Suzanne Sindi (University of California, Merced)
Workshop for Women in Mathematical Biology
May 29, 2018 A Mathematical Model for Enzyme Clustering in Glucose Metabolism
Hye-Won Kang (University of Maryland Baltimore County)
Workshop for Women in Mathematical Biology
May 30, 2018 Variability of Calcium Dynamics in Brain Astrocyte Cells
Alla Borisyuk (The University of Utah)
Workshop for Women in Mathematical Biology
May 30, 2018 Piecewise smooth maps for the circadian modulation of sleep-wake dynamics
Victoria Booth (University of Michigan)
Workshop for Women in Mathematical Biology
May 30, 2018 Direct and indirect effects of species interactions in disease systems
Zoi Rapti (University of Illinois at Urbana-Champaign)
Workshop for Women in Mathematical Biology
May 30, 2018 Glioblastoma recurrence and the role of MGMT promoter methylation
Katie Storey (University of Minnesota, Twin Cities)
Workshop for Women in Mathematical Biology
May 30, 2018 Multiscale Modeling of Axonal Cytoskeleton Dynamics in Diseases
Chuan Xue (The Ohio State University)
Workshop for Women in Mathematical Biology
February 22, 2018 Spectral analysis of high-dimensional time series with applications to the mean-variance frontier
Alexander Aue (University of California, Davis)
Frontiers in Forecasting
February 23, 2018 Conditional Adaptive Bayesian Spectral Analysis of Nonstationary Biomedical Time Series
Robert Krafty (University of Pittsburgh)
Frontiers in Forecasting
February 22, 2018 Factor Augmented Vector Autoregressive Models under High Dimensional Scaling
George Michailidis (University of Florida)
Frontiers in Forecasting
February 21, 2018 A longitudinal Bayesian model for spectral analysis of neuroimaging time series data
Mark Fiecas (University of Minnesota, Twin Cities)
Frontiers in Forecasting
February 22, 2018 Methods for estimating network change points for multivariate time series
Ivor Cribben (University of Alberta)
Frontiers in Forecasting
February 21, 2018 Predictive effect of economic and market variations on structural breaks in credit market
Haipeng Xing (State University of New York, Stony Brook (SUNY))
Frontiers in Forecasting
February 23, 2018 Models for Time Series of Counts with Shape Constraints
Richard Davis (Columbia University)
Frontiers in Forecasting
February 23, 2018 High-dimensiona Classification for Spatially Dependent Data
Tapabrata (Taps) Maiti (Michigan State University)
Frontiers in Forecasting
February 23, 2018 Sequential change-point detection based on nearest neighbors
Hao Chen (University of California, Davis)
Frontiers in Forecasting
February 21, 2018 Global multivariate point pattern models for rain type occurrence and its extension to spatio-temporal domain
Mikyoung Jun (Texas A & M University)
Frontiers in Forecasting
February 23, 2018 High-Dimensional Bayesian Geostatistics
Sudipto Banerjee (University of California, Los Angeles)
Frontiers in Forecasting
February 21, 2018 Learning Connectivity Networks from High-Dimensional Point Processes
Ali Shojaie (University of Washington)
Frontiers in Forecasting
February 23, 2018 Lensing and de-lensing the cosmic microwave background
Ethan Anderes (University of California, Davis)
Frontiers in Forecasting
February 21, 2018 Variable Targeting and Reduction in High-Dimensional Vector Autoregressions
Tucker McElroy (U.S. Bureau of the Census)
Frontiers in Forecasting
February 21, 2018 Semi-parametric Dynamic Max-copula Model for Multivariate Time Series
Zhengjun Zhang (University of Wisconsin, Madison)
Frontiers in Forecasting
February 21, 2018 Dynamic landmark prediction for genetic mixture models
Tanya Garcia (Texas A & M University)
Frontiers in Forecasting
February 21, 2018 Sparse Vector Autoregressive Models
Christophe Croux (EDHEC Business School)
Frontiers in Forecasting
February 22, 2018 Extended ensemble Kalman filters for high-dimensional hierarchical state-space models
Matthias Katzfuss (Texas A & M University)
Frontiers in Forecasting
February 22, 2018 Forecasting large collections of times series
George Athanasopoulos (Monash University)
Frontiers in Forecasting
February 22, 2018 Interpretable Deep Learning Models for Forecasting
Yan Liu (University of Southern California)
Frontiers in Forecasting
February 22, 2018 Panel: Advanced Business Analytics and Forecasting at BASF
Sven Serneels (BASF Corporation)
Frontiers in Forecasting
February 22, 2018 High-dimensional Multivariate Time Series with Additional Structure
Katherine Ensor (Rice University)
Frontiers in Forecasting
August 15, 2018 Multiparameter Interleavings
Magnus Botnan (Vrije Universiteit Amsterdam)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 15, 2018 Software Tutorial
Michael Lesnick (Princeton University), Matthew Wright (St. Olaf College)
Tutorial on Multiparameter Persistence, Computation, and Applications
August 15, 2018 Computation with Degree-Rips Bifiltrations
Roy Zhao (University of California, Berkeley)
Tutorial on Multiparameter Persistence, Computation, and Applications

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