The common thread in the research carried out in the lab is to apply game theory, mechanism design, and artificial intelligence techniques to research problems at the interface of computer science and economics. In particular, the topics of interest include auctions and markets, cooperative game theory, computational social choice, machine learning, and data analytics. Our recent interests include digital agriculture and public health applications. Our faculty collaborators include Prof. Siddharth Barman and Prof. N. Viswanadham. Please click below for some recent research and innovation snippets.
Prospective registrants for the E1254 Game Theory Course.
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Oct. 2021: Ganesh Sambhaji Ghalme and Arpita Biswas receive Ph.D. Degrees at the IISc Convocation.
Oct. 2021: Arpita Biswas selected for the Best Ph.D. Dissertation Award by the Indian National academy of Engineering
Sep. 2021: Arpita Biswas’s Ph.D. Dissertation selected for Best Thesis Award in the Department of CSA for the Academic Year 2020-21.
Aug. 2021: Y. Narahari introduces a new Course E0388: Topics in Artificial Intelligence for Social Good
Jul. 2021: K.S. Shivanjali (M.Tech. – CSE), Bazil Ahmad (M.Tech. – AI), and Someshwar Arnoorla (M.Tech. – AI) complete their M.Tech. Projects
May 2021: Paper accepted in the Journal of Machine Learning Research. Vishakha Patil, Ganesh Ghalme, Vineet Nayar, Y. Narahari. Achieving fairness in the stochastic multi-armed bandit problem. Journal of Machine Learning Research. 2021.
Apr. 2021: Soumyarup Sadhukhan, Ph.D. from the Indian Statistical Institute, joins as C.V. Raman Postdoc.
Mar. 2021: Paper accepted in the Artificial Intelligence Journal. Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari. Balloooning multi-armed bandits. Artificial Intelligence, 2021
Jan 2021: Vishakha Patil and Anand Krishna selected for the Prime Minister’s Ph.D. Research Fellowship
Vishakha Patil, Ganesh Ghalme, Vineet Nayar, Y. Narahari. Achieving fairness in the stochastic multi-armed bandit problem. Journal of Machine Learning Research. 2021 (Preliminary Version in AAAI 2020)
Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari. Balloooning multi-armed bandits. Artificial Intelligence, 2021 (Preliminary Version in AAMAS 2020)
Shivika Narang, Y. Narahari. A study of incentive compatibility and stability issues in fractional matchings. AAMAS 2020.
Thirumulanathan, Rajesh Sundaresan, and Y. Narahari. Optimal mechanisms for selling two items to a single buyer having uniformly distributed valuations. Journal of Mathematical Economics, 2019.
Thirumulanathan, Rajesh Sundaresan, and Y. Narahari. On optimal mechanisms in the two-item single-buyer unit-demand setting. Journal of Mathematical Economics, 2019.
Swapnil Dhamal, Rohith D. Vallam, and Y. Narahari. Modeling Spread of Preferences in Social Networks for Sampling-based Preference Aggregation. IEEE Transactions on Network Science and Engineering, 2019.
Satyanath Bhat, Shwetha Jain, Sujit Gujar, and Y. Narahari. An Optimal Bidimensional Multi-Armed Bandit Auction for Multi-Unit Procurement. Annals of Mathematics and Artificial Intelligence. 2019.
Palash Dey, Neeldhara Mishra, and Y. Narahari. Parameterized Dichotomy of Choosing Committees Based on Approval Votes in the Presence of Outliers. Theoretical Computer Science, 2019.
My most recent R&D Project (ongoing) is on Enabling Farmers with Game Theory and Artificial Intelligence Based Services sponsored by NABARD (National Bank for Agriculture and Rural Development), Government of India. For a complete list of my R&D Projects, please click here.
Y. Narahari, Dinesh Garg, Ramasuri Narayanam, Hastagiri Prakash. Game Theoretic Problems in Network Economics and Mechanism Design Solutions (April 2009). Springer Series in Advanced Information and Knowledge Processing.
Monograph Flyer (WORD)