Bhaskar Ray Chaudhury
Education
- Doctor of Natural Sciences, Department of Computer Science, Saarland University, Max Planck Institute for Informatics, Saarbruecken, Germany (2017 - 2021)
- Bachelor of Technology (BTech), Department of Computer Science, National Institute of Technology, India, (2011 - 2015)
Academic Positions
- Assistant Professor, Industrial and Enterprise Systems Engineering, Computer Science (Affiliate), University of Illinois at Urbana Champaign (16th August 2023 - Present)
- Future Faculty Fellow, Department of Computer Science, University of Illinois at Urbana Champaign (16th August 2021 - 15th August 2023)
Documents
Research Interests
- Algorithmic Game Theory
- Data Economics
- Equilibrium Computation
- Incentives in Collaborative Learning
Research Areas
Research Topics
- Social and Human Systems Engineering
Selected Articles in Journals
- Maximizing Nash Social Welfare in 2-Value Instances: Delineating Tractability(Hannaneh Akrami, Bhaskar Ray Chaudhury, Martin Hoefer, Kurt Mehlhorn, Marco Schmalhofer, Golnoosh Shahkarami, Giovanna Varricchio, Quentin Vermande, Ernest van Wijland) Mathematics of Operations Research (Accepted, 2026)
- EFX: A Simpler Approach and an (Almost) Optimal Guarantee via Rainbow Cycle Number (Hannaneh Akrami, Noga Alon, Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, Ruta Mehta), Operations Res. 73(2): 738-751 (2025)
- EFX Exists for Three Agents(Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn) Journal of the ACM 71(1): 4:1-4:27 (2024)
- Improving EFX Guarantees through Rainbow Cycle Number(Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, Ruta Mehta, Pranabendu Misra), Mathematics of Operations Res. 49(4): 2323-2340 (2024)
- A Complementary Pivot Algorithm for Competitive Allocation of a Mixed Manna(Bhaskar Ray Chaudhury, Jugal Garg, Peter Mcglaughlin Ruta Mehta) Mathematics of Operations Research 48(3): 1630-1656 (2023)
- A Little Charity Guarantees Almost Envy-Freeness (Bhaskar Ray Chaudhury, Telikepalli Kavitha, Kurt Mehlhorn, Alkmini Sgouritsa) SIAM Journal on Computing 50(4): 1336-1358 (2021)
Articles in Conference Proceedings
- On the Theoretical Foundations of Data Exchange Economies(Hannaneh Akrami, Bhaskar Ray Chaudhury, Aniket Murhekar, Jugal Garg), Proceedings of the 26th Conference on Economics and Computation (EC 2025, 21.2% acceptance rate), San Francisco, USA
- Fairness in federated learning via core-stability(Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta), Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022, 25.66% acceptance rate), New Orleans, USA
- Polynomial Time Algorithms to Find an Approximate Competitive Equilibrium for Chores (Shant Boodaghians, Bhaskar Ray Chaudhury, Ruta Mehta), Proceedings of the 33rd Symposium on Discrete Algorithms (SODA 2022, 30.14% acceptance rate), Virtual
Professional Societies
- Senior Program Committee Member of the 26th ACM Conference on Economics and Computation 2025
- 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
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