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Debmalya Panigrahi

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 Appointments & Affiliations


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 Publications


Vertex Connectivity in Poly-logarithmic Max-Flows

Conference Journal of the ACM · July 25, 2025 The vertex connectivity of an m-edge n-vertex undirected graph is the smallest number of vertices whose removal disconnects the graph or leaves only a singleton vertex. In 1974, Aho Hopcroft and Ullman asked if vertex connectivity can be computed in linear ... Full text Cite

Deterministic Minimum Cut in Poly-logarithmic Maximum Flows

Journal Article Journal of the ACM · July 24, 2025 We give a deterministic algorithm for finding the minimum (weight) cut of an undirected graph on n vertices and m edges using polylog(n) calls to a black box maximum flow subroutine. Using the current best deterministic maximum flow algorithms, this marks ... Full text Cite

Tight Results for Online Convex Paging

Conference Proceedings of the Annual ACM Symposium on Theory of Computing · June 15, 2025 Online convex paging (Menache and Singh, 2015; Chiplunkar, Henzinger, Kale, and Vötsch, 2023) models a broad class of cost functions for the classical paging problem. In particular, it naturally captures fairness constraints: e.g., that no specific page (o ... 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, Training & Certifications


Massachusetts Institute of Technology · 2012 Ph.D.

External Links


Website