Students

Mayank Ratan Bhardwaj

Webpage: https://www.linkedin.com/in/mayank-ratan-bhardwaj/?originalSubdomain=in
Current Position: Ph.D. student @ IISc

Thesis Title: Novel Algorithms for Improving Agricultural Planning and Operations using Artificial Intelligence and Game Theory (Submitted)

Mayank completed his M.Tech. in Computer Science from IIT-Kanpur in 2008. After 9 years in the industry performing diverse tasks such as building firmware, video conferencing tools, EDA tools, and search engines and business development, he joined the Ph.D. program in CSA@IISc in August 2017. He is currently working on applying AI and Game Theory techniques in Digital Agriculture. In particular, he is focusing on price prediction, crop recommendation, and market design problems using AI techniques and Game Theory.

Amal Roy

(Jointly supervised with Prof. Chandramani Singh)
Current Position: Ph.D. Student

Topic: Mean Field Game Models for Epidemic Control

Amal completed his Bachelors Degree in Mathematics from Indian Institute of Science before joining Department of CSA. His research interests include Multi agent systems, mechanism design, mean field games and dynamical systems.

Anand Krishna

(Jointly supervised with Prof. Siddharth Barman)
Webpage: https://anandkrishna.me

Thesis Title: Algorithms for Individual and Collective Fairness Measures (Submitted)

Anand Krishna is currently a Post-Doctoral Fellow at the National University of Singapore, School of Computing, working with Prof. Vincent Tan. He has been a PhD student at the Department of Computer Science and Automation (CSA), Indian Institute of Science (IISc) since August 2018. He is a recipient of the Prime Minister Research Fellowship (PMRF) 2020. His Ph.D. work was recognized with a Best Presentation Award at the IISc EECS Research Students Symposium in April 2023. His work was also selected for a Spotlight Presentation at the PMRF Students Poster Presentations in February 2023. His academic interests include Fair Division, Randomized Algorithms and Reinforcement Learning.

Sreedurga Gogulapati

Webpage: https://gsreedurga.wixsite.com/mysite/
Current Position: Postdoc (Deepmind Academic Fellow), University of Edinburgh, UK.

Topic: Exploring Welfare Maximization and Fairness in Participatory Budgeting (submitted)

Sreedurga pursued  Ph.D. in the  Game Theory lab in IISc from August 2018 and submitted her thesis in July 2023. She completed her B.Tech (Gold medal) in Computer Science and Engineering from Indian Institute of Information Technology, Jabalpur in April 2018. She is a recipient of the Prime Minister Research Fellowship (PMRF) from August 2018. Her interests are in algorithmic game theory,  computational social choice, and more specifically, participatory budgeting. During Sep-Nov 2022, she was a research intern at the University of Amsterdam, Netherlands, working with Prof Ulle Andriss. During Jan-Jun 2023, she was a research intern at the University of Warwick, working with Prof.  Marcus Brill.

Vishakha Patil

(Jointly supervised with Prof. Arindam Khan)
Webpage: https://sites.google.com/view/vishakha-patil/home
Current Position: PhD Student, CSA Department, IISc

Topic: Fairness in Bandit Algorithms

Vishakha is a second year PhD student in the Computer Science and Automation Department at the Indian Institute of Science, Bangalore. She is advised by Prof. Y. Narahari and Prof. Arindam Khan. Her research interests include Online Learning and Optimization, Game Theory, and Mechanism Design. She is currently working on questions in the areas of Algorithmic Fairness, Causal Inference, and Online Learning. Her work is supported by a Google Ph.D. Fellowship. Previously, she completed her M.Tech. (Research) from CSA, IISc in July 2019 under Prof. Narahari’s guidance with a thesis titled ‘Achieving Fairness in the Stochastic Multi-armed Bandit Problem’.