SUJIT GUJAR

Research Interests

• AI and Machine Learning

• Fairness in AI, in particular, distributed AI, aka federated learning

• Game Theory and Mechanism Design 

• Application of Game Theory to Artificial Intelligence (AI)

  • Social networks

  • Internet advertising

  • Crowdsourcing

  • Crowdfunding

  • Intelligent transportation

  • Online education

• 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'26

  • Truthful Reverse Auctions for Adaptive Selection via Contextual Multi-Armed Bandits

  • Let Leaders Play Games: Improving Timing in Leader-based Consensus  

• 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 

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 to make the theoretical foundations of fair and ethical AI. 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 that, with appropriate incentive engineering, blockchain technology has not only solved the problem of distributed consensus but also enabled the distribution of trust across the entire network. I aim to make AI and distributed systems fairer and strategyproof through different research problems. You must be admitted to IIITH to work 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

Program Track Chair: ICDIT 2027

SAB: CO2CREATION

     SPC Member: IJCAI 2021

    PC member:   UAI 2022, 2021,        IJCAI 2026-2016.             AAMAS 2020,2019,2018,2017. 

                                   AAAI 2025-2020.                 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

• CSE301: Machine, Data, and Learning (Spring 2025-26) (IIITH)

• CSE504: Fairness, Privacy, and Ethics in AI (Monsoon 2021-25, Spring'27) (IIITH)

• CSE201: Data Structures and Algorithms (Spring 2021-24) (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, 27) (IIITH)

• CSE498: Introduction to Game Theory (Monsoon 2016,17,26, Spring 2019-26)  (IIITH)

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