Bhaskar Ray Chaudhury
Education
- 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
Academic Positions
- Assistant Professor, Industrial and Enterprise Systems Engineering, Computer Science (Affiliate), University of Illinois at Urbana Champaign
- Future Faculty Fellow, Department of Computer Science, University of Illinois at Urbana Champaign
Documents
Research Interests
- Equilibrium Computation
- Fair Division
- Algorithmic Game Theory
Research Areas
Selected Articles in Journals
- Fair federated learning via the proportional veto core
- Competitive Equilibrium for Chores: from Dual Eisenberg-Gale to a Fast, Greedy, LP-based Algorithm
- Fairness in Federated Learning via Core-Stability
- Improving EFX Guarantees through Rainbow Cycle Number
- EFX: A Simpler Approach and an (Almost) Optimal Guarantee via Rainbow Cycle Number
- EFX Exists for Three Agents
Professional Societies
- Program Committee Member of the 35th ACM/SIAM Symposium on Discrete Algorithms 2024
- Program Committee Member of the 25th ACM Conference on Economics and Computation 2024
- Senior Program Committee Member of the 26th ACM Conference on Economics and Computation 2025
Honors
- 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 (2020)
Improvement Activities
- Invited as Plenary speaker at the wokshop on Foundations of Fairness and Accountability, organized by IDEAL, Northwestern University, Fall 2024
- Invited to speak at the ACO (Algorithms and Combinatorial Optimization) seminar at UC Irvine, Fall 2024
- Invited to speak at the Econ CS seminar, Harvard University, Fall 2024
- Invited to speak at the Theory CS seminar, Columbia University, Fall 2024
Recent Courses Taught
- CS 473 - Algorithms
- CS 598 BRC - Comp. Social Choice Theory
- IE 310 - Determin Models in Optmzation
- IE 598 CDM - Collective Decision Making