SUJIT GUJAR

Currently, I am working as Assistant Professor at the International Institute of Information Technology, Hyderabad. Prior to this, I was a post-doctoral researcher with Prof Boi Faltings, LIA, EPFL, Lausanne (Jan'14-Oct'15), and a Sr Research Associate with Prof Y Narahari (Nov'15-Apr'16). I was a Research Scientist at Xerox Research Centre India (Jan'11-Nov'13). I completed my Ph.D. in the Department of Computer Science and Automation @ the Indian Institute of Science, Bangalore. I worked with Prof Y Narahari, Game Theory Lab. I am a recipient of the Alumni Medal of IISc for the Best Thesis in CSA for the academic year 2011-12' for my Ph.D. Dissertation, Novel Mechanisms for Allocation of Heterogeneous Items in Strategic Settings. During my Ph.D. I was a recipient of the Infosys Doctoral Fellowship.

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 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

  • 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


Openings


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.

Professional Activities

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

Teaching


  • 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)


Elsewhere

Vistor Count (Since 11 April 2007)