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 paper got accepted at SAGT'23

  • Coordinating Monetary Contributions in Participatory Budgeting

• Our following paper got accepted at IJCAI'23

  • A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC 

• Our following paper got accepted at EMAS'23

  • Multi-armed Bandit Based Tariff Generation Strategy for Multi-Agent Smart Grid Systems

• Our following paper got accepted at PAKDD'23

  • F3: Fair and Federated Face Attribute Classification with Heterogeneous Data

• Our following paper got accepted at IEEE ICBC'23

  • QuickSync: A Quickly Synchronizing PoS-Based Blockchain Protocol

• Our following paper got accepted at AAMAS'23

  • A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC

• Our following paper got accepted at AAAI'23

  • Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation

• Our following papers got accepted in PRICAI 2022

  • Fair Allocation with Special Externalities  (Best Paper runner-up at the PRICAI 2022 )

  • EEF1-NN: Efficient and EF1 allocations through Neural Networks 

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 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 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 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) (IIITH)

• CSE201: Data Structures and Algorithms (Spring 2021,22,23) (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)  (IIITH)

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