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Debmalya Panigrahi

Bishop-MacDermott Family Professor of Computer Science
Computer Science
Campus Box 90129, Durham, NC 27708
308 Research Dr, Campus Box 90129, D203 LSRC Building, Durham, NC 27708

Overview


Research interests: design and analysis of algorithms, theoretical computer science, combinatorial optimization

Please visit Debmalya Panigrahi's homepage for up-to-date information.

Current Duke Appointments & Affiliations


Bishop-MacDermott Family Professor of Computer Science · 2026 - Present Computer Science, Trinity College of Arts & Sciences
Professor of Computer Science · 2022 - Present Computer Science, Trinity College of Arts & Sciences
Associate Chair in the Department of Computer Science · 2025 - Present Computer Science, Trinity College of Arts & Sciences

Recent News Items


Published April 24, 2026
Nine Faculty Named 2026 Bass Chairs

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Recent Scholarly Works


Combinatorial Optimization using Comparison Oracles

Conference Proceedings of the Annual ACM Symposium on Theory of Computing · June 9, 2026 In a linear combinatorial optimization problem, we are given a family F C 2U of feasible subsets of a ground set U of n elements, and our goal is to find S∗ = argminSeF «w,1S . Traditionally, we are either given the weight vector up-front, or else we are g ... Full text Cite

An Optimal Algorithm for Stochastic Vertex Cover

Conference Proceedings of the Annual ACM Symposium on Theory of Computing · June 9, 2026 The goal in the stochastic vertex cover problem is to obtain an approximately minimum vertex cover for a graph G∗ that is realized by sampling each edge independently with some probability p∈ (0, 1] in a base graph G = (V, E). The algorithm is given the ba ... Full text Cite

Fully Dynamic Set Cover: Worst-Case Recourse and Update Time

Conference Proceedings of the Annual ACM Symposium on Theory of Computing · June 9, 2026 We give the first algorithms for fully dynamic set cover with non-trivial worst-case guarantees for both recourse and update time. Specifically, we achieve O(logn) recourse and f· log(n) update time in the worst-case, for both approximation regimes: O(logn ... Full text Cite
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Recent Grants


Multi-objective Optimization in Internet Advertising

Institutional SupportPrincipal Investigator · Awarded by Google Inc. · 2014 - 2027

AF: Small: Algorithms for Graph Cuts

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2023 - 2026

Collaborative Research: AF: Medium: Algorithms Meets ML: Mitigating Uncertainty in Optimization

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2020 - 2026

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Education


Massachusetts Institute of Technology · 2012 Ph.D.

External Links


Website