Research output per year
Research output per year
Personal profile
Research interests
- Artificial intelligence
- Computational social choice
- Decision-making
- Machine learning
Biography
Sikdar joined the School of Computing at Binghamton in 2020. He received his PhD and MS in computer science at the Rensselaer Polytechnic Institute (RPI).
He has broad interests across artificial intelligence, mechanism design, problems at the intersection of computer science and microeconomics, machine learning and computational social science. His research focuses on algorithmic decision-making in the allocation of resources, and voting, with an eye at learning and faithfully representing preferences. He is the recipient of a best paper award at SocialCom2013.
Resources
Education/Academic qualification
Bachelor, Manipal Institute of Technology
Master, Rensselaer Polytechnic Institute
PhD, Rensselaer Polytechnic Institute
Researcher Selected Keywords
- Artificial intelligence
- Computational social choice
- Decision-making
- Machine learning
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Collaborations and top research areas from the last five years
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Epistemic vs. Counterfactual Fairness in Allocation of Resources
Hosseini, H., Kavner, J., Sikdar, S., Vaish, R. & Xia, L., Nov 4 2025, EAAMO 2025, Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization. Association for Computing Machinery, Inc, p. 93-106 14 p. (EAAMO 2025, Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
Fairly Dividing Mixtures of Goods and Chores under Lexicographic Preferences
Hosseini, H., Sikdar, S., Vaish, R. & Xia, L., 2023, In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2023-May, p. 152-160 9 p.Research output: Contribution to journal › Conference article › peer-review
29 Scopus citations -
Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms
Guo, X., Sikdar, S., Xia, L., Cao, Y. & Wang, H., 2023, In: Journal of Artificial Intelligence Research. 76, p. 287-339 53 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
First-Choice Maximality Meets Ex-ante and Ex-post Fairness
Guo, X., Sikdar, S., Xia, L., Cao, Y. & Wang, H., 2023, Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. Elkind, E. (ed.). International Joint Conferences on Artificial Intelligence, p. 2719-2727 9 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Multi resource allocation with partial preferences
Wang, H., Sikdar, S., Guo, X., Xia, L., Cao, Y. & Wang, H., Jan 2023, In: Artificial Intelligence. 314, 103824.Research output: Contribution to journal › Article › peer-review
5 Scopus citations