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 Paper "Towards Mobile Distributed Ledger" is accepted for publication in IEEE Journal on IoT.
Our Poster "We might walk together, but I run faster: Network Fairness and Scalability in Blockchains" received the Best Poster Design Award at AAMAS 2021
Our following papers got accepted as regular papers at PRICAI 2021
We received the Best Paper Award at the first National Conference on Deployable AI for the proposal: "Building Ethical AI: Federated Learning Meets Fairness and Differential Privacy."
I have few openings for highly motivated Master and Ph.D. students to work on fascinating research problems in applied game theory as well as research challenges that lie 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 it. I am also intrigued by the fact that with appropriate incentive engineering, blockchain technology has not just solved distributed consensus, but enabled to distribute the trust across the whole network. Through different research problems, my vision is to make AI and distributed systems fairer and strategyproof. Note you must be admitted to IIITH if you are interested in working with me as a regular student. If you are interested, you can drop an email to schedule a meeting. Currently, I do not have any internship openings for Bachelor's or Master's students.
SPC Member: IJCAI 2021
PC member: UAI 2021, IJCAI 2020, 2019, 2018,2017,2016. AAMAS 2020,2019,2018,2017. AAAI 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
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) (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)
Towards Mobile Distributed Ledger, IEEE IoT
Designing Bounded Min-knapsack Bandits Algorithm for Sustainable Demand Response, PRICAI 2021 and Spotlight Presentation at Tackling Climate Change with Machine Learning workshop at ICML 2021
Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding, PRICAI 2021
Building Ethical AI: Federated Learning Meets Fairness and Differential Privacy, DAI 2021. Best Paper Award.
Ballooning Multi-Armed Bandits, AI Journal 2021
FASTEN: Fair and Secure Distributed Voting Using Smart Contracts, IEEE ICBC 2021
A Multi-Arm Bandit Approach To Subset Selection Under Constraints, AAMAS 2021
We might walk together, but I run faster: Network Fairness and Scalability in Blockchains, AAMAS 2021 (Best Poster Design)
ASHWAChain: A Fast, Scalable and Strategy-proof Committee-based Blockchain Protocol, GTiB@WINE 2020
Block Rewards, Not Transaction Fees Keep Miners Faithful In Blockchain Protocols, GTiB@WINE 2020
FNNC: Achieving Fairness through Neural Networks, IJCAI 2020
BitcoinF: Achieving Fairness For Bitcoin In Transaction Fee-Only Model, AAMAS 2020
Designing Truthful Contextual Multi-Armed Bandits based Sponsored Search Auctions, AAMAS 2020
Mneme: A Mobile Distributed Ledger, INFOCOM 2020
Human-Machine Collaboration for Face Recognition, CoDS-COMAD 2020 (Best Paper Runner-up)
A Multi-armed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids, AAAI 2020
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy, AAAI 2020