Publications

• All Politics is Local: Redistricting via Local Fairness (Arxiv) with Shao-Heng Ko, Pankaj K. Agarwal, and Kamesh Munagala to appear in Neurips '22.

• Multi-Robot Motion Planning for Unit Discs with Revolving Areas (Arxiv) with Pankaj K. Agarwal, Tzvika Geft, and Dan Halperin to appear in ISAAC '22.

• Locally Fair Partitioning (paper, Arxiv) with Pankaj K. Agarwal, Shao-Heng Ko, and Kamesh Munagala in Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI '22).

• Clustering under Perturbation Stability in Near-linear Time (paper, Arxiv) with Pankaj K. Agarwal, Hsien-Chih Chang, Kamesh Munagala, and Emo Welzl in 40th conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS '20).

• k-Median Clustering under Discrete Fréchet and Hausdorff Distances (paper, Arxiv) with Abhinandan Nath in 36th International Symposium on Computational Geometry (SoCG '20).

• Subtrajectory clustering: models and algorithms (paper) (code) with Pankaj K. Agarwal, Kyle Fox, Kamesh Munagala, Abhinandan Nath, and Jiangwei Pan in 37th ACM Symposium on Principles of Database Systems (PODS '18).