Anand Krishna

Game Theory Lab & Approximation Algorithms Lab

Indian Institute of Science(IISc)

Biography

I am a Prime Minister’s Research Fellow (PMRF) pursuing Ph.D. in the Department of Computer Science and Automation at the Indian Institute of Science.

I am fortunate to be advised by Prof. Y. Narahari and Assoc. Prof. Siddharth Barman.

My research focuses on fair division of indivisible goods in a multi-agent setting.

Interests

Game Theory
Randomized Algorithms
Reinforcement Learning

Education

Ph.D. student in Intelligent Systems (2018-Present)

Indian Institute of Science(IISc)
B.Tech(Hons.) in Computer Science (2017)

Govt. Engineering College, Thrissur, Kerala

Experience

Teaching Assistance @ IISc

Randomized Algorithms (Feb 2021 - Now)
Game Theory (Jan 2020 - Jun 2020)
Linear Algebra and Probability (Aug 2019 - Dec 2019)

Industry/Research Experience

Research Intern @ IBM Research (Jun 2019 - Sep 2019)
R&D Intern @ Aindra Systems (Jun 2018 - Jul 2018)

Events

[Jan ‘21] Teaching a full semester course on Probability at Dayananda Sagar University with over 60 students.
Selected for participating in EC’20 Global Outreach Program and part of EC Mentoring workshop.
Attended workshop on Recent Trends in Algorithms and ACM India Annual Event at IIT Gandhinagar.
Conducted Game Theory tutorial sessions as part of Summer Research Program on Dynamics of Complex Systems.

Academic Services

Subreviewer for WINE 2019
Subreviewer for WINE 2020

Publications & Preprints

Siddharth Barman, Umang Bhaskar, Anand Krishna, Ranjani G. Sundaram (2020). Tight Approximation Algorithms for p-Mean Welfare Under Subadditive Valuations. In ESA 2020.

PDF Slides Video