Upcoming Seminars
There are currently no events to display.
Past Seminars
Colloquium - Bridging Public Health with Clinical Decisions from a Data Centric Perspective
CS Colloquium - How to Detect a Line and Related Questions
Mathematics Faculty Colloquium - Yangbo Ye
Title: Number theory and cryptography
Abstract: In this presentation Professor Ye will survey his work and progress in number theory since his last colloquium talk in the department. Topics include the Riemann zeta function, automorphic L-functions, their functoriality, upper bounds, and zero statistics, computational number theory, and its applications to cyberspace security or insecurity.
Short Bio: Professor Yangbo Ye is a professor of Mathematics with expertise in number theory and...
Towards unlocking the mystery of adversarial fragility of neural networks
Speaker: Weiyu Xu, Dept. of Electrical and Computer Engineering
The Central Role of AMCS in Advancing the State-of-the-Art in Computer Science
Speaker: Rahul Singh, Dept. of Computer Science
Mathematics Special Lecture - Isaac Goldbring; University of California, Irvine
Title: A model theorist’s perspective on the Connes Embedding Problem (and its resolution)
Abstract: In 2020, a group of computer scientists resolved the Connes Embedding Problem (CEP) from von Neumann algebra theory. In this informal talk, I’ll explain how basic ideas from mathematical logic can be used to simplify and strengthen the resolution of the CEP from the computer science result.
Professor Goldbring is giving a colloquium talk, Effective metric structure theory and operator algebras, at...
When Deep Learning Meets Polyhedral Theory
Speaker: Thiago Serra Azevedo Silva, Dept. of Business Analytics
Deepest Cuts for Benders Decomposition
Speaker: Mojtaba Hosseini, Dept. of Business Analytics
From Electric Vehicles to Constrained Variational Inequalities
Speaker: Qi Luo, Dept. of Business Analytics
Mathematics Faculty Colloquium - Weimin Han; University of Iowa Department of Mathematics
Title: Variational-Hemivariational Inequalities: Theory, Numerical Analysis, and Applications
Abstract: In recent years, modeling, mathematical analysis, and numerical solution of hemivariational inequalities, or more generally, variational-hemivariational inequalities, have attracted much attention in the research communities. Through the formulation of variational-hemivariational inequalities, application problems involving nonsmooth, monotone or non-monotone, multivalued constitutive laws...
Quantum Computing, Discrete Methods, Complex Probabilities
Speaker: Wayne Polyzou, Dept. of Physics & Astronomy
Mathematics of stochastic tools, and their diverse applications
Speaker: Palle Jorgensen (Dept. of Mathematics)
Constrained Optimization Methods for Machine Learning with Fairness Constraints
Speaker: Qihang Lin (Dept. of Business Analytics)
Evolution of Stress Response and Adhesin Gene Family in Pathogenic Yeasts
Speaker: Bin He, Biology Dept.
Structural Models for Vascular Tissues
Speaker: Jia Lu, Dept. Mechanical Engineering
Models of Mitochondrial Fission from ODE to PDE to DDE
Speaker: Colleen Mitchell, Dept. of Mathematics
Time integration methods for systems with constraints
Speaker: Laurent O. Jay, Department of Mathematics
Mathematics Faculty Colloquium - Xueyu Zhu; University of Iowa Department of Mathematics
Title: Recent Advancement of Scientific Machine Learning
Abstract: Machine learning has revolutionized scientific computing, offering unprecedented computational efficiency, flexibility, and applicability to real-world challenges. However, traditional machine learning approaches often overlook the rich insights provided by existing physical laws or mathematical properties. This talk explores the latest advancements in AI techniques that respect existing physical laws or mathematical properties...
Multigrid Methods in Space and Time for Extreme-scale Scientific Computing
Speaker: Dr. Rob Falgout, Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL)
Abstract: Multigrid methods play a key role in large-scale scientific simulation because they are among the fastest and most scalable approaches for solving systems of equations. They are widely used to solve the sparse spatial systems that arise in these simulations, and they have been shown to scale efficiently on today’s supercomputers. For time-dependent simulations...
Parallel-in-Time Solution of Systems of Linear and Nonlinear Hyperbolic PDEs
Speaker: Dr. Rob Falgout, Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL)
Abstract: The multigrid reduction in time (MGRIT) method is a parallel multigrid-in-time solver designed to be as non-intrusive as possible and take advantage of existing simulation codes and techniques. This has worked well for parabolic equations, but parallel-in-time methods for advection-dominated hyperbolic problems have proven difficult to develop. In previous work, we...
The application of implicit Runge-Kutta methods to various types of differential equations
Speaker: Laurent O. Jay, Dept. of Mathematics
Optimization and related problems
Speaker: David Stewart, Department of Mathematics
Advice for a Career in Academia
Speaker: Joe Eichholz, United States Air Force Academy
Mechanics of Collagenous soft tissue and meso-structural models
Speaker: Jia Lu, Dept of Mechanical Engineering
Statistical Modeling and Inference for Social Networks
Speaker: Buddhika Nettasinghe, Dept. of Business Analytics
The Power of Mathematical Symmetry in Theoretical Physics
Speaker: Vincent Rodgers, Dept. of Physics & Astronomy
Stochastic differential equations
Speaker: Palle Jorgensen, Dept. of Mathematics
Learning-based Agricultural Management Subject to Climate Variability
Speaker: Shaoping Xiao, Dept. of Mechanical Engineering
Two sample summary data Mendelian randomization analysis
Speaker: Kai Wang, Dept. of Biostatistics
Cooperative Autonomous Systems: optimal control and graph theory for guaranteed safety and robustness
Speaker: Venanzio Cichella, Dept. of Mechanical Engineering
Introduction to nonlinear PDE
Speaker: Lihe Wang, Dept. of Mathematics
Number theory, medical imaging, and machine learning
Speaker: Prof. Yangbo Ye, Dept. of Mathematics
Imaging-based Cluster-Informed Lung Assessment and Modeling
Speaker: Ching-Long Lin, Dept. of Mechanical Engineering
Mathematical biology
Speaker: Prof. Colleen Mitchell, Dept. of Mathematics
CS Colloquium - Tracking the Spread and Sway of Misinformation Narratives at Scale
Zakir Durumeric
AbstractWhile a significant amount of research has shed light on how inauthentic news and misinformation spreads on social media platforms like Twitter, inauthentic narratives are increasingly spread on alternative platforms, messaging apps like Telegram and WhatsApp, niche forums, and on the broader web. In this talk, I will discuss how technologists can provide visibility into the spread of information on the broader Internet. I will present some of the recent work...
Stochastic Analysis: Theory and Applications
Speaker: Palle Jorgensen, Dept. of Mathematics
Modeling seizure activity in flies
Speaker: John Manak, Depts. of Biology and Pediatrics and the Roy J. Carver Center for Genomics
Using constant step sizes and time-rescaling in the numerical integration of differential equations
Speaker: Laurent Jay, Dept. of Mathematics
Streamflow prediction via Gated Recurrent Unit
Speaker: Shaoping Xiao, Dept. of Mechanical Engineering
Connecting family trees to understand the past, present and future of our society
Speaker: Caglar Koylu, Department of Geographical and Sustainability Sciences
Applications and Consequences of the Friendship Paradox in Human Social Sensing
Speaker: Buddhika Nettasinghe, Dept. of Business Analytics
Inversion and optimization problems in remote sensing: challenges and opportunities
Speaker: Jun Wang, Department of Chemical and Biochemical Engineering
Autonomous Vehicle Assisted Package Delivery
Speaker: Ann Campbell, Dept. of Business Analytics
Constrained Optimization Methods for Machine Learning with Fairness Constraints
Speaker: Qihang Lin, Dept. of Business Analytics
Multiscale Methods in Numerical Analysis
Speaker: Wayne Polyzou, Dept. of Physics and Astronomy
Exploring quantum physics with quantum computers
Speaker: Yannick Meurice, Dept. of Physics and Astronomy
Introduction to scientific machine learning
Speaker: Xueyu Zhu, Dept. of Mathematics
Number Theory and its applications
Speaker: Yangbo Ye, Dept. of Mathematics
Attractor-like dynamics extracted from brain recordings underlie bistable perception in auditory streaming
Speaker: Rodica Curtu, Dept. of Mathematics
Knotted Proteins
Speaker: Isabel Darcy, Dept. of Mathematics