Sujoy Sikdar
Scholar

Sujoy Sikdar

Google Scholar ID: OmZaKTEAAAAJ
Assistant Professor, Binghamton University
Artificial IntelligenceComputational Social ChoiceMechanism DesignMachine LearningComputational Social Science
Citations & Impact
All-time
Citations
560
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Published papers such as 'Perceived Fairness in Threshold-based Fair Allocations' (co-authored with Hadi Hosseini, Joshua Kavner, Samarth Khanna, Rohit Vaish, and Lirong Xia) and 'Hide, Not Seek: Perceived Fairness in Envy-Free Allocations of Indivisible Goods' (co-authored with Hadi Hosseini, Joshua Kavner, Rohit Vaish, and Lirong Xia). Recipient of a best paper award at SocialCom2013.
Research Experience
  • Assistant Professor at the Department of Computer Science, Thomas J. Watson College of Engineering and Applied Science, Binghamton University. Taught courses including Introduction to Machine Learning, Introduction to Data Mining, and Design and Analysis of Algorithms over multiple semesters.
Education
  • Ph.D. in Computer Science from Rensselaer Polytechnic Institute, Troy, NY, USA in 2018, advised by Prof. Lirong Xia and Prof. Sibel Adalı; M.S. in Computer Science from the same institution in 2015, advised by Prof. Sibel Adalı; B.E. in Information Technology from Manipal Institute of Technology, Manipal, KA, India in 2009.
Background
  • Research interests include Artificial Intelligence, Computational Social Choice, Mechanism Design, Algorithm Design, Machine Learning, Computational Social Science, and Trust and Credibility in Media. Has broad interests across the intersection of computer science and microeconomics, focusing on algorithmic decision making in resource allocation and voting.
Miscellany
  • Looking for motivated students to work on research projects in areas like Computational Social Choice, AI for social good, and Computational Social Science. Welcomes applications from students without a CS background.