Bhaskar Ray Chaudhury

Bhaskar Ray Chaudhury serves as Assistant Professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana Champaign, with an affiliate appointment in Computer Science. His research bridges theoretical computer science and economic theory to solve fundamental problems in resource allocation.

His educational background includes:

• Doctor of Natural Sciences, Department of Computer Science, Saarland University, Max Planck Institute for Informatics, Saarbruecken, Germany
• Bachelor of Technology (BTech), Department of Computer Science, National Institute of Technology, India

Professor Chaudhury's research focuses on Algorithmic Game Theory, specializing in Fair Division and Equilibrium Computation for indivisible goods and chores. His work develops rigorous mathematical frameworks for envy-freeness (particularly EFX allocations), competitive equilibrium, and fair federated learning. He extends these theories to practical applications in Data Analytics and Social and Human Systems Engineering, addressing real-world challenges in digital economies and distributed systems.

Analysis of his 15 most recent publications reveals dominant themes in envy-freeness guarantees (especially EFX for chores), computational approaches to competitive equilibrium, and fairness mechanisms in federated learning. His work consistently combines combinatorial optimization with economic principles to achieve both theoretical guarantees and practical efficiency.

His notable achievements include:

• NSF Career Award, Algorithmic Foundations (2025)
• List of Teachers Ranked Excellent by Students (2022)
• Best Paper with a Student Lead Author and Exemplary Paper in Theory Track Award, EC 2020

Professor Chaudhury has secured significant grant funding including the 2025 NSF CAREER Award for advancing fair allocation theory. His teaching excellence is demonstrated through multiple course offerings including CS 473 (Algorithms) and IE 598 CDM (Collective Decision Making), where he mentors students in theoretical computer science. His professional service includes program committee roles for ACM/SIAM SODA 2024 and ACM EC 2024/2025.

His research impact is reflected in numerous invited talks at Harvard, Columbia, UC Irvine, and Northwestern University, establishing him as a leading voice in computational fairness and economic mechanism design.