Campuses:

Talks

Date Title / Speaker Event
March 16, 2018 General Diffusion in Biological Environments
Chun Liu (Illinois Institute of Technology)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 15, 2018 Numerical method for osmotic water flow and solute diffusion in moving cells
Lingxing Yao (Case Western Reserve University)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 15, 2018 Transition between actin-driven and water-driven cell migration depends on the external coefficient of hydraulic resistance
Yizeng Li (Johns Hopkins University)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 15, 2018 A numerical method and a reduced model for time-dependent electrokinetic flow
Michael Booty (New Jersey Institute of Technology)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 15, 2018 Algorithms for accurately calculating forces between dipolar particles
Sibani Biswal (Rice University)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 15, 2018 Twenty years of Resistive Pulse experiments: What do we understand?
Sandip Ghosal (Northwestern University)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 15, 2018 Integral equation methods for electrohydrodynamics of vesicle suspensions
Shravan Veerapaneni (University of Michigan)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 14, 2018 Using Brownian Motion Processes to Compute the Electroneutral Limit of Electrodiffusion
Adam Stinchcombe (University of Toronto)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 14, 2018 A two-phase model of electro-diffusion mediated swelling in gastric mucus
Owen Lewis (The University of Utah)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 14, 2018 Models for Tear Film and Ocular Epithelium Interaction
Richard Braun (University of Delaware)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 14, 2018 Electrostatic Assist of Liquid Transfer between Flat Surfaces
Satish Kumar (University of Minnesota, Twin Cities)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 14, 2018 Asymptotics of Poisson-Nernst-Planck equations and application to the voltage distributions in cellular micro-domains
Jerome Cartailler (École Normale Supérieure)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 14, 2018 Electrochemical transport in the kidney
Anita Layton (Duke University)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 13, 2018 Three-Dimensional Multicomponent Vesicles -- Methods and Electrohydrodynamics
David Salac (University at Buffalo (SUNY))
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 13, 2018 Mechanics and electrostatics in long molecules and membranes
Prashant Purohit (University of Pennsylvania)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 13, 2018 Nonlinear instabilities in multilayer shear flows
Demetrios Papageorgiou (Imperial College London)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 13, 2018 Electrohydrodynamics and breakup of prolate drops
Aditya Khair (Carnegie Mellon University)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 12, 2018 High-Order Adaptive Time Stepping of Vesicle Suspensions
Bryan Quaife (Florida State University)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 12, 2018 Electrohydrodynamics of Surfactant-laden Drops and Vesicles
Herve Nganguia (University of Santa Clara)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 12, 2018 The role of ionic fluxes in cell volume, electromechanics and cell motility
Sean Sun (Johns Hopkins University)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 12, 2018 Nonlinear electrohydrodynamics of drops and particles in strong electric fields
David Saintillan (University of California, San Diego)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 12, 2018 Electrohydrodynamic instabilities of viscous drops in strong electric fields
Petia Vlahovska (Northwestern University)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 12, 2018 Simulations of Particle Structuring Driven by Electric Fields
Michael Miksis (Northwestern University)
Electrohydrodynamics and Electrodiffusion in Material Sciences and Biology
March 09, 2018 Industrial Analytics – a Balanced Approach
Girija Parthasarathy (Honeywell)
Industrial Problems Seminar
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 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 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 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 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 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 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
March 06, 2018 Understanding the Simulation Revolution
Joe Walsh (ASSESS Initiative)
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 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 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 05, 2018 Local keynote lecture: Reinforcement learning for functional state space with application to Type 1 Diabetes
Susan Wei (University of Minnesota, Twin Cities)
Women in Data Science (WiDS) Conference
March 05, 2018 Local keynote lecture: Ways of Knowing in HCI
Haiyi Zhu (University of Minnesota, Twin Cities)
Women in Data Science (WiDS) Conference
March 02, 2018 Atomistically inspired origami
Richard James (University of Minnesota, Twin Cities)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
March 02, 2018 A Ginzburg-Landau type problem for 2D materials
Dmitry Golovaty (University of Akron)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
March 02, 2018 Continuum magneto-electro-elastics with applications to soft matter physics
Liping Liu (Rutgers, The State University Of New Jersey)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
March 02, 2018 Nematic liquid crystals with variable degree of orientation
Ricardo Nochetto (University of Maryland)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
March 01, 2018 Symmetry breaking and restoration in the Ginzburg-Landau model of nematic liquid crystals
Michal Kowalczyk (University of Chile)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
March 01, 2018 Lipids as Liquid Crystals: morphological control and energy barriers
Keith Promislow (Michigan State University)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
March 01, 2018 Materials for Controlling the Direction of Light at Different Frequencies
Robert Lipton (Louisiana State University)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
March 01, 2018 Optimal Pentamodes for Guiding Stress
Graeme Milton (The University of Utah)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
March 01, 2018 Simulating the molecular organizations of thin liquid crystal films
Claudio Zannoni (Universita Di Bologna)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
February 28, 2018 Finite Element Methods for the Generalized Ericksen Model of Liquid Crystals
Shawn Walker (Louisiana State University)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
February 28, 2018 Building Next Generation Solar Cells with Nanotechnology
Prashant Kamat (University of Notre Dame)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
February 28, 2018 Towards an equation of state for dense nematics with steric interactions
Peter Palffy-Muhoray (Kent State University)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
February 28, 2018 Liquid crystals for sensors and organic light-emitting diodes
Antal Jakli (Kent State University)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
February 28, 2018 Structure Formation in Soft Matter by Solvent Evaporation
Masao Doi (University of Tokyo)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
February 27, 2018 Programmable Matter: 3D printed elastomers with nematic order
Elisabetta Matsumoto (Georgia Institute of Technology)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
February 27, 2018 Liquid crystal elastomer shells with a negative order parameter ground state
Jan Lagerwall (University of Luxembourg)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
February 27, 2018 Pixelated Polymers: Directing the Self-Assembly of Liquid Crystalline Elastomers
Timothy White (Wright-Patterson Air Force Base)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
February 27, 2018 Orienting and switching liquid crystals with films from carbon nanotube sheets
Giusy Scalia (University of Luxembourg)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
February 27, 2018 Fracture initiation in confined incompressible materials
Duvan Henao
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
February 27, 2018 A review on computational issues for charged transport in semiconductor modeling at nanoscales and applications
Irene Gamba (The University of Texas at Austin)
Liquid Crystals, Metamaterials, Transformation Optics, Photonic Crystals, and Solar Cells
February 23, 2018 High-dimensiona Classification for Spatially Dependent Data
Tapabrata (Taps) Maiti (Michigan State University)
Frontiers in Forecasting
February 23, 2018 Lensing and de-lensing the cosmic microwave background
Ethan Anderes (University of California, Davis)
Frontiers in Forecasting
February 23, 2018 High-Dimensional Bayesian Geostatistics
Sudipto Banerjee (University of California, Los Angeles)
Frontiers in Forecasting
February 23, 2018 Sequential change-point detection based on nearest neighbors
Hao Chen (University of California, Davis)
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 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 22, 2018 Methods for estimating network change points for multivariate time series
Ivor Cribben (University of Alberta)
Frontiers in Forecasting
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 22, 2018 High-dimensional Multivariate Time Series with Additional Structure
Katherine Ensor (Rice University)
Frontiers in Forecasting
February 22, 2018 Panel: Advanced Business Analytics and Forecasting at BASF
Sven Serneels (BASF Corporation)
Frontiers in Forecasting
February 22, 2018 Interpretable Deep Learning Models for Forecasting
Yan Liu (University of Southern California)
Frontiers in Forecasting
February 22, 2018 Forecasting large collections of times series
George Athanasopoulos (Monash University)
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 21, 2018 Impossible Objects: The Mathematics of 3D Illusions
Kokichi Sugihara (Meiji University)
Public Lecture Series
February 21, 2018 Sparse Vector Autoregressive Models
Christophe Croux (EDHEC Business School)
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 Variable Targeting and Reduction in High-Dimensional Vector Autoregressions
Tucker McElroy (U.S. Bureau of the Census)
Frontiers in Forecasting
February 21, 2018 Learning Connectivity Networks from High-Dimensional Point Processes
Ali Shojaie (University of Washington)
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 21, 2018 Semi-parametric Dynamic Max-copula Model for Multivariate Time Series
Zhengjun Zhang (University of Wisconsin, Madison)
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 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 20, 2018 Mixed 0-1 linear programs with uncertain objectives: A data-driven approach
Guanglin Xu (University of Minnesota, Twin Cities)
Data Science Seminar
February 16, 2018 Integrating electrophysiology, cerebral metabolism and blood flow: Towards a predictive computational framework
Erkki Somersalo (Case Western Reserve University)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 16, 2018 Quantification of Uncertainty of Cerebral Metabolic States
Daniela Calvetti (Case Western Reserve University)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 15, 2018 An electrodiffusive framework for large scale ion concentration dynamics in neural tissue
Geir Halnes (Norwegian University of Life Sciences (NMBU))
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 15, 2018 An Inhibitory Leading Edge Precedes Spreading Depolarization
Theoden Netoff (University of Minnesota, Twin Cities)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 15, 2018 A multiscale model of cerebral blood flow regulation: K+ mediated neurovascular coupling in capillaries and arteries.
Nikolaos Tsoukias (Florida International University)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 15, 2018 Ionic homeostasis and epileptogenesis
Maksim Bazhenov (University of California, San Diego)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 14, 2018 Patient-specific computational modeling of cortical spreading depression via diffusion tensor imaging
Luca Gerardo Giorda (Basque Center for Applied Mathematics)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 14, 2018 The role of oxygen on the dynamics of seizure and spreading depression
Yina Wei (University of California, San Diego)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 14, 2018 Multiscale modeling of stroke and vascular dementia
William Lytton (SUNY Downstate Medical Center)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 14, 2018 The impact of complex network structure on seizure activity induced by depolarization block
Duane Nykamp (University of Minnesota, Twin Cities)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 13, 2018 Role of Gap Junctions in a Neuron Astrocyte Network Model
David Terman (The Ohio State University)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 13, 2018 A mechanistic view of cortical spreading depression using data from microelectrode arrays: From transmembrane currents to spiking
Jorge Riera (Florida International University)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 13, 2018 A Multiphasic Continuum Model of Cortical Spreading Depression
Rosemary O'Connell (University of Minnesota, Twin Cities)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 12, 2018 The Pump Leak Mechanism, Impermeant Molecules and Cell Volume Regulation
Alan Kay (The University of Iowa)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 12, 2018 Towards State Dependent Control of Brain Circuitry
Steven Schiff (The Pennsylvania State University)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 12, 2018 Coarse-Graining to Investigate Dynamic Cerebrocortical Disorders
Kentaroh Takagaki (Leibniz Institute for Neurobiology )
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 12, 2018 A Putative Channel Driving Spreading Depolarization
R. David Andrew (Queen's University)
Mathematical Modeling of Cortical Spreading Depression (SD) and Related Phenomena
February 06, 2018 Bandwidth selection for kernel density estimators of multivariate level sets and highest density regions
Charles Doss (University of Minnesota, Twin Cities)
Data Science Seminar
January 30, 2018 Implicit Regularization in Nonconvex Statistical Estimation
Yuxin Chen (Princeton University)
Data Science Seminar

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