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.
September 2022: Paper accepted in WINE 2022: Siddharth Barman, Anand Krishna, Y. Narahari, Soumyarup Sadhukhan. Nash Welfare Guarantees for Fair and Efficient Coverage. WINE-2022.
September 2022: Paper accepted in BDA 2022: Rohit Patel, Inavamsi Enaganti, Mayank Ratan Bhardwaj, and Y. Narahari. A Data-Driven, Farmer-Oriented Agricultural Crop Recommendation Engine. 10th International Conference on Big Data Analytics (BDA-2022).
August 2022: A report on recent advances in mean field approach to epidemic modelling uploaded to arXiv: Amal Roy, Chandramani Singh, and Y. Narahari. Recent Advances in a Mean Field Approach to Modeling and Control of Epidemics. arXiv:2208.14765. August 2022
July 2022: Paper in IJCAI: Siddharth Barman, Anand Krishna, Y. Narahari, Soumyarup Sadhukhan: Achieving Envy-Freeness with Limited Subsidies under Dichotomous Valuations. IJCAI-2022.
July 2022: paper in IJCAI: Gogulapati Sreedurga, Mayank Ratan Bhardwaj, Y. Narahari: Maxmin Participatory Budgeting. IJCAI-2022.
June 2022: Paper in ACM COMPASS: Mayank Ratan Bhardwaj, Azal Fatima, Inavamsi Enaganti, Y. Narahari: Incentive Compatible Mechanisms for Efficient Procurement of Agricultural Inputs for Farmers through Farmer Collectives. ACM COMPASS 2022.
April 2022: Shivika Narang selected for the Best Presentation Prize in the 2022 EECS Research Students Symposium Session on Artificial Intelligence: https://eecs.iisc.ac.in/EECS2022/awards.html
April 2022: Ganesh Ghalme joins as Assistant Professor in the Department of Artificial Intelligence, Indian Institute of Technology, Hyderabad.
January 2022: Dr Soumyarup Sadhukhan, C.V. Raman Postdoc, joins the Department of Statistics, IIT-Kanpur, as Assistant Professor.
The 16th International Conference on Educational Data Mining (EDM-2023) will be held in the IISc Campus during July 11-14, 2023. The General Chairs are: Dr. Rakesh Agrawal (Former IBM, Former MSR); Prof. Y. Narahari (IISc), Prof. Mykola Pechenizkiy (Eindhoven University of Technology). The Program Chairs are: Dr. Mingyu Feng (West Ed); Prof. Tanja Kaser (EPFL); Prof. Partha Pratim Talukdar (IISc). This will be the first time this conference will be held in India.
INAE (Indian National Academy of Engineering) workshop on Technology Enabled Transformation of Indian Agriculture (January 10, 2022). Please click here for the workshop report.
NABARD (The National Bank for Agriculture and Rural Development, Government of India,) has awarded a project entltled Enabling and Empowering Indian Farmers through AI and Game Theory Based Services. (October 2021). For more details, click here.
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
Rohit Patel, Inavamsi Enaganti, Mayank Ratan Bhardwaj, and Y. Narahari. A Data-Driven, Farmer-Oriented Agricultural Crop Recommendation Engine. 10th International Conference on Big Data Analytics (BDA-2022).
Siddharth Barman, Anand Krishna, Y. Narahari, Soumyarup Sadhukhan. Nash Welfare Guarantees for Fair and Efficient Coverage. WINE-2022.
Amalroy, Chandramani Singh, and Y. Narahari. Recent Advances in a Mean Field Approach to Modeling and Control of Epidemics. arXiv:2208.14765. August 2022
Siddharth Barman, Anand Krishna, Y. Narahari, Soumyarup Sadhukhan: Achieving Envy-Freeness with Limited Subsidies under Dichotomous Valuations. IJCAI-2022.
Gogulapati Sreedurga, Mayank Ratan Bhardwaj, Y. Narahari: Maxmin Participatory Budgeting. IJCAI-2022.
Mayank Ratan Bhardwaj, Azal Fatima, Inavamsi Enaganti, Y. Narahari: Incentive Compatible Mechanisms for Efficient Procurement of Agricultural Inputs for Farmers through Farmer Collectives. ACM COMPASS 2022.
Shivika Naranag, Arpita Biswas, Y. Narahari. On achieving leximin fairness and stability in many-to-one matchings. AAMAS 2022.
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. Game Theory and Mechanism Design (March 2014). IISc Press and World Scientific.
Textbook Flyer
Textbook website
Expert Opinions
Review in Current Science, September 2016
Review in amazon.in
Review in amazon.com
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)
