SUJIT GUJAR

Research Interests

• Game Theory and Mechanism Design 

• Application of Game Theory to Artificial Intelligence (AI)

  • Social networks

  • Internet advertising

  • Crowdsourcing

  • Crowdfunding

  • Intelligent transportation

  • Online education

• AI and Machine Learning

• Cryptographic Game Theory (Securing Auctions) 

• Distributing trust: Block-chain Technology

• Game Theory and Machine Learning

Recent Updates

• Our following papers have been accepted at AAMAS'25

  • FLIGHT: Facility Location Integrating Generalized, Holistic Theory of Welfare

  • Shapley Value-based Approach for Distributing Revenue of Matchmaking of Private Transactions in Blockchains

  • Regret Guarantees for a UCB-based Algorithm for Volatile Combinatorial Bandits

• Our following paper has been accepted at AAAI'25

  • FROC: Building Fair ROC from a Trained Classifier 

• Our following paper has been accepted at ACML'24

  • Fairness and Privacy Guarantees in Federated Contextual Bandits

• Our following paper got accepted at ECAI'24

  • No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design

• We presented a tutorial on `Fair and Private Deep Learning' at CODS-COMAD'24

• Our following seven papers got accepted at AAMAS'24

  • Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits

  • Fairness of Exposure in Online Restless Multi-armed Bandits

  • Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains

  • Analyzing Crowdfunding of Public Projects Under Dynamic Beliefs

  • No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design

  • Decent-BRM: Decentralization through Block Reward Mechanisms

  • Fairness and Privacy Guarantees in Federated Contextual Bandits

Openings

I have 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, Game Theory, and blockchain technology. I am excited about how to design strategy-proof protocols/ algorithms for modern marketplaces; 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. I aim to make AI and distributed systems fairer and strategyproof through different research problems. You must be admitted to IIITH if you are interested in working with me as a regular student. If you're interested, feel free to email me to schedule a meeting. I do not have any internship openings for Bachelor's or Master's students. 

Professional Activities

      SPC Member: IJCAI 2021

PC member:   UAI 2022, 2021,        IJCAI 2023, 2022, 2020, 2019, 2018,2017,2016.             AAMAS 2020,2019,2018,2017. 

                               AAAI 2024,2023, 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

Teaching

• CSE504: Fairness, Privacy, and Ethics in AI (Monsoon 2021,22,23) (IIITH)

• CSE201: Data Structures and Algorithms (Spring 2021,22,23,24) (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 2019,20,21,22,23,24)  (IIITH)

• Advanced Topics in Algorithmic Game Theory and Mechanism Design (Spring 2015) (EPFL)