Numerical Analysis Seminar – Optimal Control Design for Fluid Mixing: from Open-Loop to Closed-Loop

Numerical Analysis Seminar – Reduced-Order Models in Computational Science and Engineering: fundamentals and applications

Analysis and PDE Seminar – Regular solutions to Lp Minkowski problem

Number Theory Seminar – Sum product phenomenon and super approximation

Numerical Analysis Seminar – Physics-informed neural networks for multiscale hyperbolic models for the spatial spread of infectious diseases

Optimization and Machine Learning Seminar – Lyapunov Stability of the Subgradient Method with Constant Step Size

Numerical Analysis Seminar – A New Framework for Solving Dynamical Systems

Numerical Analysis Seminar – Dynamical Low Rank approximation of random time dependent problems

Analysis and PDE Seminar – On Liouville-type theorems for the stationary MHD equations

Optimization and Machine Learning Seminar – The Benefits of Aggressive Updates in Machine Learning: Large Stepsizes, Local Training, and Learning Dynamics

Prof. Mingrui Liu (George Mason University, United States)