The School of Computer Science at the University of Windsor is pleased to present…
Mathematical Programming and Large Language Models
Colloquium Presentation by: Dr. Salimur Choudhury
Date: Friday, March 06
Time: 10:00 am - 11:00 AM
Location: Erie Hall, Room 3123
Abstract
Mathematical programming plays a crucial role in addressing complex optimization challenges across various engineering domains, including autonomous systems. Traditionally, designing mathematical models for such problems requires deep expertise and domain knowledge. With the rapid advancements in Large Language Models (LLMs), a key question arises: Can LLMs partially replace this expertise in solving optimization problems? In this talk, I will explore recent state-of-the-art approaches that attempt to bridge the gap between mathematical programming and LLMs. We will delve into how LLMs can assist in optimization tasks, review significant advancements in the field, and discuss the critical future research directions that will shape the intersection of these two domains.
Biography
Dr. Salimur Choudhury is an Associate Professor in the School of Computing at Queen’s University, Kingston, ON, Canada. He leads the Global Optimization, Analytics, and Learning (GOAL) research lab, where his research focuses on designing optimization algorithms across various domains, including network management, healthcare, and social good. Dr. Choudhury has authored or co-authored over 50 peer-reviewed journal articles and has received grants from both government and industry sectors. He is a council member of the Canadian Operations Research Society (CORS) and serves as the General Co-Chair for the CORS 2026 conference, which will be held in Kingston, Ontario (June 8-10).