معرفی
Sujoy Sikdar is an Assistant Professor in the Department of Computer Science at Binghamton University, affiliated with the Thomas J. Watson College of Engineering and Applied Science. He joined the university in 2020 after completing his PhD and MS in Computer Science at Rensselaer Polytechnic Institute (RPI), advised by Professors Lirong Xia and Sibel Adalı. His research spans artificial intelligence, computational social choice, mechanism design, and algorithmic decision-making, particularly in fair resource allocation and voting systems.
Education:
- Bachelor of Engineering in Information Technology, Manipal Institute of Technology (2009)
- Master of Science in Computer Science, Rensselaer Polytechnic Institute (2015)
- Doctor of Philosophy in Computer Science, Rensselaer Polytechnic Institute (2018)
Research Interests: Sikdar focuses on interdisciplinary topics at the intersection of computer science and microeconomics, including fair division algorithms, computational social choice, and AI for social good. His work emphasizes algorithmic fairness, strategyproof mechanisms, and applications in education and cybersecurity.
Publications: His recent work includes studies on envy-free allocations, anti-collusion testing methods, and equitable resource distribution. These contributions highlight his expertise in bridging theoretical computer science with practical societal challenges.
Awards: He received the Best Paper Award at SocialCom2013 for foundational work in social computing and information credibility.
Teaching: He teaches courses such as Introduction to Machine Learning, Data Mining, and Design and Analysis of Algorithms, reflecting his commitment to both research and education.
Labs/Teams: While specific lab affiliations are not detailed, his research group likely focuses on computational social choice and fair algorithms, as evidenced by his publication record.
