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2019
May 3
—
Prof. Joseph E Cavanaugh
Dept. of Biostatistics
TBA
April 26
—
Prof. Weimin Han
Dept. of Mathematics
An Introduction to Variational and Hemivariational Inequalities
April 19
—
Prof. Barrett Thomas
Dept. of Management Sciences
Dynamic Time Window Allocation and Sizing for Service Routing
April 12
—
Prof. Weiyu Xu
Dept. of Electrical and Computer Engineering
Adversarial Fragility of Deep Learning Classifiers: An Information-Theoretic Explanation and An Information-Theory Inspired Defense
April 5
—
Prof. Palle Jorgensen
Dept. of Mathematics
Stochastic analysis and real life applications
March 29
—
Prof. Ariel Aloe
Dept. of Psychological and Quantitative Foundations
Meta-analysis: An Overview
March 15
—
Prof. Xun Zhou
Dept. of Management Sciences
Learning from Spatio-Temporal Big Data for Urban Intelligence
March 8
—
Prof. Zahra Aminzare
Dept. of Mathematics
A population-level model of chemotaxis
March 1
—
Prof. Vincent G Rodgers
Dept. of Physics and Astronomy
Projective Geometry in Classical and Quantum Gravity
February 22
—
Prof. Wayne N Polyzou
Dept. of Physics and Astronomy
Numerical Analysis with Fractals
February 15
—
Prof. Stephen Baek
Dept. of Industrial and Systems Engineering
Navigating the Space of Shapes - through the Lens of Deep Learning
February 8
—
Prof. Caglar Koylu
Dept. of Geography
Uncovering complex patterns from big spatial interaction data: A computation-visualization framework
February 1
—
Prof. Tianbao Yang
Dept. of Computer Science
The Power of Stagewise Learning: From Support Vector Machine to Generative Adversarial Nets
2018
May 4
—
Prof. Ge Wang
Rensselaer Polytechnic Institute
X-ray Imaging through Machine Learning
April 27
—
Prof. Yong Chen
Dept. of Mechanical and Industrial Engineering
Statistical Depth for Multivariate and Functional Data
April 20
—
Prof. Joseph K Kearney
Dept. of Computer Science
Pedestrian and Bicycling Simulation in the Hank Lab
April 13
—
Prof. Ricardo Mantilla
Dept. of Civil and Environmental Engineering
Propagation of nonlinearities, oscillation and thresholds at the hillslope scale (0.1 km^2) to the river basin scale (10000 km^2)
April 6
—
Prof. Scott Baalrud
Dept. of Physics and Astronomy
Transport Properties of Dense Plasmas
March 30
—
Dr. Kenneth Czuprynski
A survey of problems in computational mathematics
March 23
—
Prof. Hyunkeun Cho
Dept. of Biostatistics
Statistical methods with varying coefficient models in longitudinal studies
March 9
—
Prof. Ambrose Lo
Dept. of Statistics & Actuarial Science
Optimal Reinsurance: A Contemporary Risk Measure Perspective
March 2
—
Prof. Jun Wang
Dept. of Chemical and Biochemical Engineering
Remote sensing of atmospheric composition: big data opportunities and challenges for inversion/optimization problems
February 23
—
Prof. Tong Wang
Dept. of Management Sciences
Interpretable Decision-Making and Its Applications
February 16
—
Prof. Sara E. Mason
Dept. of Chemistry
Molecular Insights into Nanomaterials from First-Principles Calculations and Thermodynamics
February 9
—
Prof. Caglar Koylu
Dept. of Geography
Uncovering complex patterns from big spatial interaction data: A computation-visualization framework
February 2
—
Prof. Wayne Polyzou
Dept. of Physics and Astronomy
Scattering using real-time path integrals
January 26
—
Prof. Palle Jorgensen
Dept. of Mathematics
Stochastic analysis with (many) applications
2017
May 5
—
Prof. Danfu Han
Hangzhou Normal University
Approximation of matrix inverse and applications in solving linear systems
April 28
—
Prof. Sharif Rahman
Dept. of Mechanical and Industrial Engineering
Uncertainty Quantification in Computational Science and Engineering
April 21
—
Prof. Tianbao Yang
Dept. of Computer Science
Restarted Stochastic Gradient Methods
April 14
—
Prof. Xiaoyi Zhang
Dept. of Mathematics
Dynamics of solutions for focusing nonlinear Schrodinger equation
April 7
—
Prof. Sanvesh Srivastava
Dept. of Statistics & Actuarial Science
A divide-and-conquer approach for statistical inference in massive data sets
March 31
—
Prof. Mathews Jacob
Dept. of Electrical and Computer Engineering
Machine learning with missing data: application to fast MRI
March 24
—
Prof. Jia Lu
Dept. of Mechanical and Industrial Engineering
Inverse deformation problem: background and applications
March 10
—
Prof. Claudio J. Margulis
Dept. of Chemistry
Ionic liquids structure and how it relates to dynamics
March 3
—
Prof. Chun-Fang Wu
Dept. of Biology
Temporal patterning of nerve action potentials in brain functions and disorders
February 24
—
Prof. Elias Shiu
Dept. of Statistics & Actuarial Science
Valuing equity-linked death benefits in jump diffusion models
February 17
—
Prof. Xueyu Zhu
Dept. of Mathematics
Introduction to Uncertainty Quantification
February 10
—
Prof. Yannick L. Meurice
Dept. of Physics and Astronomy
Applications of the renormalization group method in quantum simulations and machine learning
February 3
—
Prof. Shaoping Xiao
Dept. of Mechanical and Industrial Engineering
Multiscale modeling and simulation in engineering applications
January 27
—
Prof. Palle Jorgensen
Dept. of Mathematics
Stochastic analysis and some of its applications
2016
May 6
—
Mr. Jeffrey Landgren
AMCS
An Acoustic Eigenvalue Problem and its Application to Electrochemistry
April 29
—
Prof. Erwei Bai
Dept. of Electrical and Computer Engineering
Target/Source Localization by an Imperfect Network of Binary Sensors
April 22
—
Prof. Wayne Polyzou
Dept. of Physics and Astronomy
Using Path Integrals to Compute Scattering Observables
April 15
—
Prof. Anne Villamil
Dept. of Economics
Firm Dynamics
April 8
—
Prof. Ann Campbell
Dept. of Management Sciences
Minimizing Emissions in Vehicle Routing
April 1
—
Prof. Suely Oliveira
Dept. of Computer Science
Matrix and Parallel Computations for Large Data Analyis
March 25
—
Prof. Barrett Thomas
Dept. of Management Sciences
Multi-Period Technician Scheduling with Experience-based Service Times and Stochastic Customers
March 11
—
Dr. Nestan Tsiskaridze
Dept. of Computer Science
Conflict Resolution
March 4
—
Prof. Mathews Jacob
Dept. of Electrical and Computer Engineering
Novel signal representations and algorithms for computational MRI
February 26
—
Prof. Weiyu Xu
Dept. of Electrical and Computer Engineering
Optimal Data Detection Algorithms for Wireless Systems with A Large Number of Antennas: a Discrete Optimization Framework
February 19
—
Prof. Kyung K. Choi
Dept. of Mechanical and Industrial Engineering
Development of Reliability Analysis and Multidisciplinary Design Optimization (RAMDO)
February 5
—
Prof. Weimin Han
Dept. of Mathematics
Weak Formulation and Finite Element Method for Partial Differential Equations
January 29
—
Prof. Palle Jorgensen
Dept. of Mathematics
Stochastic analysis in mathematics and in applications
2015
May 8
—
Prof. Joe Eichholz
Rose-Hulman Institute of Technology
Mathematical and Computational Aspects of Optical Biomedical Imaging
May 1
—
Prof. Sharif Rahman
Dept. of Mechanical and Industrial Engineering
Sparse Grids for High-Dimensional Uncertainty Quantification
April 24
—
Prof. Tianbao Yang
Dept. of Computer Science
Randomized Algorithms in Machine Learning
April 17
—
Prof. Weiyu Xu
Dept. of Electrical and Computer Engineering
Linear Projections of Parsimoniously-Modeled Random Variables with Applications in Signal Processing
April 10
—
Prof. Kai Wang
Dept. of Biostatistics
Robust estimation of 3-D chromosome structure from Hi-C chromatin interaction data
April 3
—
Prof. Alan Kay
Dept. of Biological Sciences
The Mathematics of Cell Size Regulation
March 27
—
Prof. Qihang Lin
Dept. of Management Sciences
An Accelerated Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization
March 13
—
Dr. Fei Wang
Pennsylvania State University
eXtended Finite Element Methods for Interface Problems
March 6
—
Prof. Palle Jorgensen
Dept. of Mathematics
Analysis, Stochastic Processes, and their Applications
February 27
—
Prof. Wayne Polyzou
Dept. of Physics and Astronomy
Physics at < 10^{-15} Meters
February 20
—
Dr. Nathan Ellingwood
IIHR-Hydroscience & Engineering
The Need for Speed: Designing Faster Methods for Computational Lung Applications with Use of GPU Accelerators
February 13
—
Prof. Qihe Tang
Dept. of Statistics and Actuarial Science
Extreme Risks in Insurance and Finance with Multivariate Regular Variation
February 6
—
Prof. Milan Sonka
The Iowa Institute for Biomedical Imaging
Relating Retinal Anatomy, Pathology, Function, and Therapy Guidance: Analysis of Ophthalmic 3D OCT
January 30
—
Prof. Isabel Darcy
Dept. of Mathematics
Topological Data Analysis
2014
May 9
—
Prof. John P. Spencer
Dept. of Psychology
Testing a dynamic neural field model of visual working memory with fMRI
May 2
—
Prof. Joseph Cavanaugh
Dept. of Biostatistics
Occam’s Razor and Statistical Model Selection
April 25
—
Prof. Ashish Tiwari
Dept. of Finance
Evaluating Hedge Funds with Pooled Benchmarks
April 18
—
Prof. Barrett Thomas
Dept. of Management Sciences
Sugarcane Harvest Logistic
April 11
—
Prof. Jiguang Sun
Michigan Tech University
C0IPDG for the Biharmonic Eigenvalue Problems
April 4
—
Prof. Jianfeng Cai
Department of Mathematics
Low-rank Matrix Models: Theory, Computation, and Applications in Image Analysis
March 28
—
Dr. Jim Hurt
Founder, Enventive Engineering Inc.
Solver Requirements for a Relational Geometry System
March 14
—
Prof. Vincent Rodgers
Dept. of Physics and Astronomy
The Power of Symmetry in Theoretical Physics
March 7
—
Prof. Jia Lu
Dept. of Mechanical and Industrial Engineering
Full-Field Characterization of Tissue Properties
February 28
—
Prof. Palle Jorgensen
Dept. of Mathematics
Stochastic processes in math, in finance, and in engineering
February 21
—
Prof. Ching-Long Lin
Dept. of Mechanical and Industrial Engineering
A Multi-scale Imaging-based Statistics-guided Predictive Lung Model
February 14
—
Prof. Kaitai Li
Xi'an Jiaotong University
Boundary shape control, boundary layer equations and dimensional splitting methods
February 7
—
Prof. Qihang Lin
Dept. of Management Sciences
Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing
January 31
—
Prof. Wayne Polyzou
Dept. of Physics and Astronomy
Relativistic quantum mechanics and sub-nuclear structure
2013
May 10
—
Prof. Gregory Howes
Dept. of Physics and Astronomy
Numerical Modeling of Kinetic Plasma Turbulence Using AstroGK
May 3
—
Prof. Yong Chen
Dept. of Mechanical and Industrial Engineering
Application of Matroid Theory in Redundancy Analysis of Linear Sensor Systems
April 26
—
Prof. Olesya I. Zhupanska
Dept. of Mechanical and Industrial Engineering
Mechanics of Non-Hertziana Contact: Applied Math Perspective
April 19
—
Prof. Nicholas Yannelis
Dept. of Economics
What is Economics?
April 12
—
Prof. Bruce Ayati
Dept. of Mathematics
Computational Modeling and Simulation of Multiple Myeloma Bone Disease
April 5
—
Prof. Tong Li
Dept. of Mathematics
Traveling Waves of Chemotaxis Models
March 29
—
Prof. Wei Li
Dept. of Finance
Investment Decisions Under Ambiguity: Evidence from Mutual Fund Investor Behavior
March 15
—
Prof. Isabel Darcy
Dept. of Mathematics
Applied Topology
March 8
—
Prof. Colleen Mitchell
Dept. of Mathematics
Electro-physiology of cardiac arrhythmia
March 1
—
Prof. Thomas L. Casavant
Dept. of Biomedical Engineering
Highly Collaborative Bioinformatics in Partnership with Post-Genome Medicine
February 22
—
Prof. Rodica Curtu
Dept. of Mathematics
Modeling the unfolded protein response under stress in mammalian cells
February 15
—
Prof. Qihe Tang
dept. of Statistics and Actuarial Science
Reducing risk by merging counter-monotonic risks
February 8
—
Prof. Gregory R. Carmichael
Dept. of Chemical and Biochemical Engineering
Aerosol Feedbacks on Chemistry and Climate at Urban and Regional Scales
February 1
—
Prof. J. Robert Manak
Departments of Biology & Pediatrics
Creating epileptic flies and (mathematically) modeling ataxia
2012
May 4
—
Prof. David S Bates
Dept. of Finance
On estimating stock market volatility and crash risk
April 27
—
Prof. Sharif Rahman
Dept of Mechanical and Industrial Engineering
Approximation Errors in High-Dimensional Uncertainty Quantification
April 20
—
Prof. John P. Spencer
Dept of Psychology & Delta Center
Dynamic Thinking--Capturing Cognition and Development with Dynamic Neural Fields
April 13
—
Dr. Scott Small
IIHR Hydroscience Eng
Real-Time Flood Forecasting in Iowa