Our Team
Faculty, researchers, students, project staff, and collaborators working across game theory, machine learning, fairness, and decision systems.
Assistant Professor
Shweta Jain is an assistant professor in the Computer Science and Engineering Department at the Indian Institute of Technology, Ropar. Her research interests are machine learning, game theory, and mechanism design. She obtained her Ph.D. in Computer Science and Engineering from IISc, Bangalore, and worked as an assistant professor at IIT Bhubaneswar before joining IIT Ropar. She is also heading the Indo-Taiwan Joint Research Center at IIT Ropar.
Co-ordinator: Indo-Taiwan Joint Research Center on Artificial Intelligence and Machine Learning, IIT Ropar
SPC Member: IJCAI 2021, IJCAI 2022
PC Member: AAAI 2024, AAAI 2022, AAAI 2021, IJCAI 2020, WebConf 2020 (Social Network Track)
Assistant Professor
Swapnil Dhamal is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology, Ropar. His research focuses on game-theoretic aspects in contemporary domains such as social networks, transportation planning, and blockchain. He obtained his Ph.D. in Computer Science from IISc, Bangalore. Prior to joining IIT Ropar, he held postdoctoral positions at Telecom SudParis (CNRS), INRIA Sophia Antipolis (Laboratoire Informatique d'Avignon), and Chalmers University of Technology.
Natural Language Processing, Machine Translation, Low-resource Languges
Post Doctoral Researcher
Computational Social Choice
Fairness in Multi-armed Bandits
Client Selection in Federated Learning
TBD
Fairness in Influence Maximisation over Social Networks
TBD
Dueling Bandits
Next Stop: IIT Bhilai as Assistant professor
Project staff positions may be announced based on project requirements.
Explainable AI
Federated Recommender System
Human-in-AI-loop
Federated Recommender Systems
Interpretable Clustering
Power Grid
Boosting Techniques
Matching under Uncertainity
Matching under Uncertainity
Recommender System
Recommender System
Dueling Bandits
Dueling Bandits
Large Language Models
Fair routing
Fair routing
Fair routing
Restless bandits
Federated Clustering
Federated Clustering
Fair Division
Fair Division
Federated Clustering
Federated Clustering
Group Fair Recommender Systems
Matrix Factorization
Matrix Factorization
Fair allocation over graph
Fair allocation over graph
Federated Learning
Federated Learning
Recommender Systems
Recommender Systems