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January 18, 2018 |
A Ginzburg-Landau type problem for highly anisotropic nematic liquid crystals
Peter Sternberg (Indiana University) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 18, 2018 |
Focal conic domains in smectic thin films: Frustration-induced defects and their frustrated packings
Daniel Beller (Brown University) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 18, 2018 |
Pattern Development in Pollen Grains
Maxim Lavrentovich (University of Tennessee) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 18, 2018 |
Topological defects in a living nematic
Igor Aronson (The Pennsylvania State University) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 18, 2018 |
Modeling dense nematics with steric interactions
Peter Palffy-Muhoray (Kent State University) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 17, 2018 |
Switching mechanism in bent-core liquid crystals
Sookyung Joo (Old Dominion University) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 17, 2018 |
Dynamics of 2D and 3D Topological Solitons
Ivan Smalyukh (University of Colorado) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 17, 2018 |
Mathematical approaches to the problem of DNA organization inside bacterial viruses
F. Javier Arsuaga (University of California, Davis) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 17, 2018 |
Molecular organizations in liquid crystals: packing with attraction
Claudio Zannoni (Universita Di Bologna) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 16, 2018 |
Defects in Smectics and their Combination Rules
Thomas Machon (University of Pennsylvania) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 16, 2018 |
Finite Elements for the Ericksen Model of Liquid Crystals with Phase-Field Modeling of Droplets
Shawn Walker (Louisiana State University) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 16, 2018 |
Distributed and Learning Based Methods for Optimizing Non-convex Problems
Mingyi Hong (University of Minnesota, Twin Cities) |
Data Science Seminar |
|
January 16, 2018 |
Computational Engineering of Cholesteric Collagen Films: Rheological Properties, Hydrodynamics and Film Formation
Alejandro Rey (McGill University) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 16, 2018 |
Pressure-induced assembly and anomalous diffusion in electrophoretically-driven nematic colloids
Jordi Ignés (University of Barcelona) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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January 16, 2018 |
Activity at director gradients in living liquid crystals and in liquid crystal elastomers
Oleg Lavrentovich (Kent State University) |
Liquid Crystals, Soft-matter Packing, and Active Systems: Materials and Biological Applications |
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December 12, 2017 |
New Progress on Stochastic Variance-Reduced Methods in Machine Learning: Adaptive Restart and Distributed Optimization
Qihang Lin (The University of Iowa) |
Data Science Seminar |
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December 08, 2017 |
Optimal Prediction in the Linearly Transformed Spiked Model
William Leeb (Princeton University) |
Data Science Seminar |
|
December 05, 2017 |
Snow Business: Scientific Computing in the Movies and Beyond
Joseph Teran (University of California, Los Angeles) |
Public Lecture Series |
|
December 01, 2017 |
Solving Nonlinear and Time-Dependent Equations for the Department of Energy
Carol Woodward (Lawrence Livermore National Laboratory) |
Industrial Problems Seminar |
|
December 01, 2017 |
Lecture
Stuart Rogers (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |
|
November 28, 2017 |
Online Change-point Detection in High Dimensional Gaussian Graphical Models
Hossein Keshavarz (University of Minnesota, Twin Cities) |
Data Science Seminar |
|
November 21, 2017 |
Application of Fluid Dynamics to the Cardiovascular Surgery: Mathematical Science for the Profound Insight into Cardiovascular Disease and for the Surgical Planning
Keiichi Itatani (Kyoto Prefectural University of Medicine) |
Data Science Seminar |
|
November 17, 2017 |
Mathematics Careers at the National Security Agency
Gail Letzter (National Security Agency) |
Industrial Problems Seminar |
|
November 17, 2017 |
Optimal Control of Nonholonomic Mechanical Systems
Stuart Rogers (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |
|
November 10, 2017 |
Two Problems In Third-Party Logistics: Finding Customers, and Moving Their Freight Efficiently
Brian Kreeger (CH Robinson), Elena Yudovina (CH Robinson) |
Industrial Problems Seminar |
|
November 10, 2017 |
Improved support recovery guarantees for the group Lasso with applications to structural health monitoring
Mojtaba Elyaderani (3M) |
Postdoc Seminar Series |
|
November 03, 2017 |
Graph Analytics for Bank Compliance
Christos Boutsidis (Goldman Sachs) |
Industrial Problems Seminar |
|
November 03, 2017 |
Phaseless reconstruction: A frame theoretical approach, Part 2
Dongmian Zou (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |
|
October 31, 2017 |
Multireference Alignment without Alignment
Nicolas Boumal (Princeton University) |
Data Science Seminar |
|
October 27, 2017 |
Phaseless reconstruction: A frame theoretical approach, Part 1
Dongmian Zou (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |
|
October 26, 2017 |
Keynote
Patrick Schnable (Iowa State University) |
Agricultural Data Integration: From Genomics to Unmanned Systems |
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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 |
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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 |
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October 26, 2017 |
Precision Agriculture Sensing Systems
Qiquan Qiao (South Dakota State University) |
Agricultural Data Integration: From Genomics to Unmanned Systems |
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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 |
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 |
Robotic Data Gathering for Agricultural Monitoring
Volkan Isler (University of Minnesota, Twin Cities) |
Agricultural Data Integration: From Genomics to Unmanned Systems |
|
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 24, 2017 |
Optimal Control of Nonholonomic Mechanical Systems
Stuart Rogers (University of Minnesota, Twin Cities) |
Data Science Seminar |
|
October 13, 2017 |
Utilizing Numerical Optimization to Improve the Utility of Data-Based Forecasting Models
Genetha Gray (Intel Corporation) |
Industrial Problems Seminar |
|
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 10, 2017 |
Community Structure in Stochastic Networks
Chao Gao (University of Chicago) |
Data Science Seminar |
|
October 06, 2017 |
Neural net word embeddings: What was old is new again
Jeremy Bellay (Battelle) |
Industrial Problems Seminar |
|
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 03, 2017 |
Deep Compressed Sensing
Paul Hand (Rice University) |
Data Science Seminar |
|
September 29, 2017 |
Job Searching Steps 1 and 2: Strategies for Applying and Interviewing
Whitney Moore (University of Minnesota, Twin Cities) |
Industrial Problems Seminar |
|
September 29, 2017 |
Online change-point detection in high dimensional Gaussian graphical models
Hossein Keshavarz (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |
|
September 26, 2017 |
Lipschitz bounds for general convolutional neural networks
Dongmian Zou (University of Minnesota, Twin Cities) |
Data Science Seminar |
|
September 22, 2017 |
Local Inversion-Free covariance estimation for Gaussian Spatial Processes
Hossein Keshavarz (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |
|
September 19, 2017 |
Quadratic Assignment on Different Data Models
Soledad Villar (New York University) |
Data Science Seminar |
|
September 16, 2017 |
Modeling and Validating Pharmacological Regulation of Circadian Rhythm
Jae Kyoung Kim (Korea Advanced Institute of Science and Technology (KAIST)) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 16, 2017 |
Immuno-Oncology Therapies and Precision Medicine: Personal Tumor-Specific Neoantigen Prediction by Machine Learning
Yi-Hsiang Hsu (Harvard Medical School) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 16, 2017 |
Emerging Biomarkers in Individualized Medicine
George Vasmatzis (Mayo Clinic) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 16, 2017 |
Optimal Decision Support Rules Improve Personalize Warfarin Treatment Outcomes
Chih-Lin (Jake) Chi (University of Minnesota, Twin Cities) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 16, 2017 |
Lecture
Peter Tonellato (Harvard Medical School) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 16, 2017 |
Applying Neural Networks to Predict Antibiotic-Resistant Bacterial Infection from Shotgun Metagenomic Data
David Haslam (Cincinnati Childrens Hospital Medical Center) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Maximin-Projection Learning for Optimal Treatment Decision with Heterogeneous Data
Wenbin Lu (North Carolina State University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Individualized Fusion Learning (iFusion) with Applications to Personalized Inference
Minge Xie (Rutgers, The State University Of New Jersey) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
A Sequential Conditional Test for Medical Decision Making
Min Qian (Columbia University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Treatment Allocations Based on Multi-Armed Bandit Strategies
Yuhong Yang (University of Minnesota, Twin Cities) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Doubly-robust estimation of shared-parameter adaptive treatment strategies
Erica Moodie (McGill University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Efficient Policy Learning
Stefan Wager (Stanford University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Propensity score calipers and the overlap condition
Ben Hansen (University of Michigan) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
Kosuke Imai (Princeton University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Discovering Effect Modification in Observational Studies
Dylan Small (University of Pennsylvania) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 15, 2017 |
Keynote: Recent advances in outcome weighted learning for precision medicine
Michael Kosorok (University of North Carolina, Chapel Hill) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Stabilized Dynamic Treatment Regimes
Yingqi Zhao (Fred Hutchinson Cancer Research Center) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Quantile-Optimal Treatment Regimes
Lan Wang (University of Minnesota, Twin Cities) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Change-Plane Analysis for Subgroup Detection and Sample Size Calculation
Rui Song (North Carolina State University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
ExxonMobil networking event for Ph.D. students
Jeremy Bedard (ExxonMobil) |
Industrial Problems Seminar |
|
September 14, 2017 |
New biomarker-adaptive designs of clinical trial for precision medicine
Feifang Hu (George Washington University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Estimating Individual-Level and Population-Level Causal Effects of Organ Transplantation Treatment Regimes
David Vock (University of Minnesota, Twin Cities) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Tutorial: List-based treatment regimes
Eric Laber (North Carolina State University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Epigenetic Drift in Barrett's Esophagus: a biomarker of esophageal cancer risk
Georg Luebeck (Fred Hutchinson Cancer Research Center) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Assessment of intra-tumor genetic heterogeneity in lung cancer
Subhajyoti De (Rutgers Cancer Institute of New Jersey) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Epigenomic programs in immune cells and response to immunotherapy
Christina Leslie (Memorial Sloan-Kettering Cancer Center) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Keynote: Personalizing Autism Care Through Machine Learning on Mobile Systems
Dennis Wall (Stanford University) |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 14, 2017 |
Welcome and introduction
Daniel Spirn |
Innovative Statistics and Machine Learning for Precision Medicine |
|
September 08, 2017 |
Applied Mathematics for Some Industrial Problems
Mouhacine Benosman (Mitsubishi Electric Research Laboratories) |
Industrial Problems Seminar |
|
September 08, 2017 |
Optimal low-rank approximations of Bayesian linear inverse problems
Luis Tenorio (Colorado School of Mines) |
Sensor Location in Distributed Parameter Systems |
|
September 08, 2017 |
Scalable approximations for A- and D-optimal OED in data assimilation problems
Tan Bui-Thanh (The University of Texas at Austin) |
Sensor Location in Distributed Parameter Systems |
|
September 08, 2017 |
MCMC Methods for Nonlinear Hierarchical-Bayesian Inverse Problems
John Bardsley (University of Montana) |
Sensor Location in Distributed Parameter Systems |
|
September 07, 2017 |
Designing Experiments for Improved Estimation of Particle Size Distributions in Ejecta Clouds
Marylesa Howard (National Security Technologies, LLC) |
Sensor Location in Distributed Parameter Systems |
|
September 07, 2017 |
Optimal shape and location of actuators or sensors in PDE models
Yannick Privat (Université de Paris VI (Pierre et Marie Curie)) |
Sensor Location in Distributed Parameter Systems |
|
September 07, 2017 |
Sensor location in ultrasound tomography
Jennifer Mueller (Colorado State University) |
Sensor Location in Distributed Parameter Systems |
|
September 07, 2017 |
Stochastic Reduced Order Modeling for Multi-sensor Radiation Transport Systems
Aaron Luttman (National Security Technologies, LLC) |
Sensor Location in Distributed Parameter Systems |
|
September 07, 2017 |
Approximation errors, inverse problems and model reduction
Ville Kolehmainen (University of Eastern Finland) |
Sensor Location in Distributed Parameter Systems |
|
September 07, 2017 |
Optimal sensor and actuator selection in distributed systems
Mihailo Jovanovic (University of Southern California) |
Sensor Location in Distributed Parameter Systems |
|
September 07, 2017 |
Variational Approaches for the Quantification of Observation Impact and Configuration of Sensor Networks
Adrian Sandu (Virginia Polytechnic Institute and State University) |
Sensor Location in Distributed Parameter Systems |
|
September 07, 2017 |
Boundary Sensitivity via the Complex-Step Derivative Approximation for 1D Poro-Elastic and Poro-Visco-Elastic Models
H.T. Banks (North Carolina State University) |
Sensor Location in Distributed Parameter Systems |
|
September 06, 2017 |
Subspace-driven observation selection strategies for linear Bayesian inverse problems
Youssef Marzouk (Massachusetts Institute of Technology) |
Sensor Location in Distributed Parameter Systems |
|
September 06, 2017 |
Robust Sensor Placement for Quasi-Variational Inequalities
Carlos Rautenberg (Humboldt-Universität) |
Sensor Location in Distributed Parameter Systems |
|
September 06, 2017 |
Observers and Optimal Estimation for PDE Systems
John Burns (Virginia Polytechnic Institute and State University) |
Sensor Location in Distributed Parameter Systems |
|
September 06, 2017 |
Sensor Modeling from Large to Small Scale
Erkki Somersalo (Case Western Reserve University) |
Sensor Location in Distributed Parameter Systems |
|
September 06, 2017 |
Sparse Linear-Quadratic-Gaussian Control
Fu Lin (United Technologies Corporation) |
Sensor Location in Distributed Parameter Systems |
|
September 06, 2017 |
Inverse problems: From regularization to Bayesian inference
Daniela Calvetti (Case Western Reserve University) |
Sensor Location in Distributed Parameter Systems |
|
August 24, 2017 |
Computations in Number Theory
Alyson Deines (Center for Communications Research) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 24, 2017 |
Automating the proof of an analogue of Matsumoto's theorem
Eric Marberg (Hong Kong University of Science and Technology) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 24, 2017 |
Number Theory in Sage
Kiran Kedlaya (University of California, San Diego) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
|
August 23, 2017 |
Educational technology in the large mathematics classroom
Duane Nykamp (University of Minnesota, Twin Cities) |
Sage Days: Opening Workshop for a Year of Coding Sprints |
