Upcoming Seminars

A Data-Driven Framework for Flood Mitigation Using Transformers and Reinforcement Learning

Friday, February 6, 2026 3:30pm to 4:20pm
MacLean Hall

Speaker: Shaoping Xiao, Department of Mechanical Engineering

Colloquium - A Hessian View of Fine-tuning, Task Attribution, and Reinforcement Learning: Three Vignettes in Modern Machine Learning promotional image

Colloquium - A Hessian View of Fine-tuning, Task Attribution, and Reinforcement Learning: Three Vignettes in Modern Machine Learning

Friday, February 13, 2026 3:30pm to 4:30pm
Schaeffer Hall
We welcome Hongyang Zhang, Ph.D., from Northeastern University, whose research lies at the intersection of machine learning, optimization algorithms, and statistical learning.

Past Seminars

From Electric Vehicles to Constrained Variational Inequalities

Friday, April 4, 2025 3:30pm to 4:20pm
MacLean Hall

Speaker: Qi Luo, Dept. of Business Analytics

Mathematics Faculty Colloquium - Weimin Han; University of Iowa Department of Mathematics

Thursday, April 3, 2025 3:30pm to 4:20pm
MacLean Hall

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

Friday, March 28, 2025 3:30pm to 4:20pm
MacLean Hall

Speaker: Wayne Polyzou, Dept. of Physics & Astronomy

Mathematics of stochastic tools, and their diverse applications

Friday, February 28, 2025 3:30pm to 4:20pm
MacLean Hall

Speaker: Palle Jorgensen (Dept. of Mathematics)

Constrained Optimization Methods for Machine Learning with Fairness Constraints

Friday, February 21, 2025 3:30pm to 4:20pm
MacLean Hall

Speaker: Qihang Lin (Dept. of Business Analytics)