Feature-based Individual Fairness in k-Clustering. - Debajyoti Kar; Sourav Medya; Debmalya Mandal; Arlei Silva; Palash Dey; Swagato Sanyal (CoRR, 2021)

Approximation Algorithms for Round-UFP and Round-SAP. - Debajyoti Kar; Arindam Khan 001; Andreas Wiese (ESA, 2022)

Sampling-Based Winner Prediction in District-Based Elections. - Debajyoti Kar; Palash Dey; Swagato Sanyal (AAMAS, 2023)

Feature-based Individual Fairness in k-clustering. - Debajyoti Kar; Mert Kosan; Debmalya Mandal; Sourav Medya; Arlei Silva; Palash Dey; Swagato Sanyal (AAMAS, 2023)

Parameterized Guarantees for Almost Envy-Free Allocations. - Siddharth Barman; Debajyoti Kar; Shraddha Pathak (AAMAS, 2024)

Random-Order Online Independent Set of Intervals and Hyperrectangles. - Mohit Garg 003; Debajyoti Kar; Arindam Khan 001 (ESA, 2024)

Random-Order Online Interval Scheduling and Geometric Generalizations. - Mohit Garg 003; Debajyoti Kar; Arindam Khan 001 (CoRR, 2024)

Improved Approximation Algorithms for Three-Dimensional Knapsack. - Klaus Jansen; Debajyoti Kar; Arindam Khan 001; K. V. N. Sreenivas; Malte Tutas (SoCG, 2025)

Improved Approximation Algorithms for Three-Dimensional Bin Packing. - Debajyoti Kar; Arindam Khan 001; Malin Rau (ICALP, 2025)