Game Theory and Mechanism Design
Application of Game Theory to Artificial Intelligence (AI)
AI and Machine Learning
Cryptographic Game Theory (Securing Auctions)
Distributing trust: Block-chain Technology
Game Theory and Machine Learning
Our following paper got accepted at AAAI'23
Our following papers got accepted in PRICAI 2022
Our paper "Differentially Private Federated Combinatorial Bandits with Constraints" has been accepted at ECML-PKDD'22.
Our paper "BLOCKVAC: A Universally Acceptable and Ideal Vaccination System on Blockchain" has been accepted at IEEE Blockchain'22
Our paper "More Gamification Is Not Always Better: A Case Study of Promotional Gamification in a Question Answering Website" has been accepted at CSCW'22
Our paper "An Autonomous Intelligent Broker for Smart-grids" has been accepted at IJCAI-ECAI'22
Our paper "Individual Fairness in Feature-Based Pricing for Monopoly Markets" has been accepted at UAI'22
Our paper "Welfare Optimal Combinatorial Civic Crowdfunding with Budgeted Agents" has been accepted at GAIW'22.
Our following paper "Tiramisu: Layering Consensus Protocols for Scalable and Secure Blockchains" got accepted at IEEE ICBC'22.
Our following papers got accepted in AAMAS 2022
Budgeted Combinatorial Multi-Armed Bandits
REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing
Multi-unit Double Auctions: Equilibrium Analysis and Bidding Strategy using DDPG in Smart-grids
Our paper, "How Private Is Your RL Policy? An Inverse RL Based Analysis Framework" is accepted for publication at AAAI 2022
I have few openings for highly motivated Master's and Ph.D. students to work on fascinating research problems in applied game theory and research challenges at the intersection of Machine Learning and Game Theory and blockchain technology. I am excited about how to design protocols/ algorithms for modern marketplaces strategy-proof; that is, strategic agents do not manipulate them. I am also intrigued by the fact that with appropriate incentive engineering, blockchain technology has not only solved distributed consensus but also enabled the distribution of trust across the whole network. My vision is to make AI and distributed systems fairer and strategyproof through different research problems. Note you must be admitted to IIITH if you are interested in working with me as a regular student. If interested, you can drop an email to schedule a meeting. I do not have any internship openings for Bachelor's or Master's students.
SPC Member: IJCAI 2021
PC member: UAI 2022, 2021, IJCAI 2022, 2020, 2019, 2018,2017,2016. AAMAS 2020,2019,2018,2017.
AAAI 2023, 2022, 2021, 2020. WINE 2017.
Reviewer: Conferences TheWebConf 2019, FSTCCS'15, ACM EC'15, AAAI'15, ICOR'12 WINE'12,
Journals JAIR, MACH, AI, GEB, EJOR, TMC, ECRA, IEEE SMC, JAAMAS
CSE504: Fairness, Privacy and Ethics in AI (Monsoon 2021,22) (IIITH)
CSE201: Data Structures and Algorithms (Spring 2021,22) (IIITH)
CSE435: Advanced Communication Networks (Monsoon 2018,19,20) (IIITH)
CSE512: Distributing Trust and Blockchains (Spring 2018, Monsoon 2018,19,20,21,22) (IIITH)
CSE481: Optimization Methods (Spring 2017,18) (IIITH)
CSE498: Introduction to Game Theory (Monsoon 2016,17, Spring 2019,20,21,22) (IIITH)
Advanced Topics in Algorithmic Game Theory and Mechanism Design (Spring 2015) (EPFL)