Advancing Combinatorics and Number Theory with AI
Department of Mathematical Sciences
Location: North Building, Room 316 and Zoom (Passcode: ACC)
Speaker: Kyu-Hwan Lee, Professor of Mathematics, University of Connecticut
ABSTRACT
In this talk, Professor Lee will discuss how machine learning techniques and AI tools can be applied to datasets arising in combinatorics and number theory, with the goal of uncovering hidden structures, generating conjectures, and guiding mathematical exploration.
BIOGRAPHY
Kyu-Hwan Lee is Professor of Mathematics at the University of Connecticut. He received a Ph.D. degree from Seoul National University and has held post-doctoral positions at Seoul National University and at the University of Toronto. Professor Lee's research interests include representation theory, number theory, combinatorics, mathematical physics and machine learning.
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