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Kamesh Munagala

Professor of Computer Science
Computer Science
Box 90129, Computer Science Department, Durham, NC 27708-0129
D205, LSRC, Research Drive, Durham, NC 27708

Overview


My research is in the general area of theoretical computer science, particularly the areas of Approximation Algorithms, Online Algorithms, and Computational Economics.  I work on developing models, algorithms, and markets for resource allocation, decision making, and provisioning problems.

Current Appointments & Affiliations


Professor of Computer Science · 2016 - Present Computer Science, Trinity College of Arts & Sciences

Recent Publications


Metric Distortion of Small-Group Deliberation

Conference Proceedings of the Annual ACM Symposium on Theory of Computing · June 15, 2025 We consider models for social choice where voters rank a set of choices (or alternatives) by deliberating in small groups of size at most k, and these outcomes are aggregated by a social choice rule to find the winning alternative. We ground these models i ... Full text Cite

Differential Privacy Under Multiple Selections

Conference Leibniz International Proceedings in Informatics Lipics · June 3, 2025 We consider the setting where a user with sensitive features wishes to obtain a recommendation from a server in a differentially private fashion. We propose a “multi-selection” architecture where the server can send back multiple recommendations and the us ... Full text Cite

Group Fairness and Multi-Criteria Optimization in School Assignment

Conference Leibniz International Proceedings in Informatics Lipics · June 3, 2025 We consider the problem of assigning students to schools when students have different utilities for schools and schools have limited capacities. The students belong to demographic groups, and fairness over these groups is captured either by concave objecti ... Full text Cite
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Recent Grants


III: Medium: Responsive Optimization for Algorithmic Decision Systems

ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2024 - 2027

AF: Small: Algorithm and Incentive Design for Modern Resource Allocation Platforms

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2021 - 2025

HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms

ResearchSenior Investigator · Awarded by National Science Foundation · 2019 - 2023

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Education, Training & Certifications


Stanford University · 2003 Ph.D.
Stanford University · 2002 M.S.

External Links


Personal Webpage