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. These problems arise in a variety of applications -- designing a data network, facility location and clustering, data center scheduling, allocating ad slots, scheduling ride-shares, and civic budgeting. In these contexts, my work has addressed several research challenges.
Intractability: Exactly optimal solutions are often inefficient to compute due to the discrete, combinatorial nature of the problems, and we seek efficient algorithms that compute provably approximate optimal solutions.
Uncertainty: When future demand is uncertain, we seek algorithms that either work with specified models of uncertainty, or are robust to any possible future.
Pricing and Incentives: In settings where participants may lie about the utility of resources to them, we seek to design appropriate pricing schemes and incentives.
Fairness: In settings where resources are shared and the allocation has to be fair to the participants, we seek models for fairness and devise efficient algorithms for these models.
I am part of the Algorithms group and the Computational Economics group.
Some Recent Publications
A complete list of my papers is available on DBLP and on Google Scholar. See here for more papers and projects.
Fair multiwinner elections with allocation constraints. EC '23
All politics is local: Redistricting via local fairness. NeurIPS '22
Auditing for core stability in Participatory Budgeting. WINE '22
Optimal price discrimination for randomized mechanisms. EC '22
The limits of an information intermediary in auction design. EC '22
Approximate core for committee selection via multilinear extension and market clearing. SODA '22
Please see here for a complete list of courses.
Spring '23, '21: CPS 230: Discrete Mathematics
Fall '21: CPS 330: Algorithm Design
Fall '20: CPS 532: Graduate Algorithms
Spring '20: CPS 630: Randomized Algorithms
Spring '19: CPS590: Algorithms for Decision making at Scale
D205, Levine Science Research Center,
308 Research Drive, Durham NC 27708-0129.
Phone: (919) 660-6598
Email address: <first_name> @cs.duke.edu