- Data exchange markets via utility balancing, WWW 2024
- Probabilistic Metric Embedding via Metric Labeling, APPROX 2023
- Tight Complexity Bounds for Counting Generalized Dominating Sets in Bounded-Treewidth Graphs, SODA 2023
- Optimal Matchings with One-Sided Preferences: Fixed and Cost-Based Quotas, AAMAS 2022
- Anti-Factor is FPT Parameterized by Treewidth and List Size (but Counting is Hard), IPEC 2022
- Degrees and Gaps: Tight Complexity Results of General Factor Problems Parameterized by Treewidth and Cutwidth, ICALP 2021
- Matchings with Group Fairness Constraints: Online and Offline Algorithms, IJCAI 2021
Research Experience
Work Experience and Research Projects: Currently pursuing doctoral research focused on algorithms for fairness.
Education
Degree: Dual Degree (Bachelor + Master of Technology); Institution: Indian Institute of Technology Madras; Advisor: Kamesh Munagala; Time: Not specified; Major: Electrical Engineering.
Background
Research Interests: Algorithms for problems modeling various notions of fairness; Field: Computer Science; Brief Introduction: Fourth-year PhD candidate in the Computer Science Department at Duke University.