SUJIT GUJAR


Currently I am working as Assistant Professor at International Institute of Information Technology, Hyderabad.


Prior to this, I was a post-doctoral researcher with Prof Boi FaltingsLIAEPFL, 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 PhD in the Department of Computer Science and AutomationIndian Institute of Science, Bangalore. I worked with Prof Y Narahari, Game Theory Lab. I am recipient of  the  Alumni Medal of IISc for the Best Thesis in CSA for the academic year 2011-12' for my PhD Dissertation, Novel Mechanisms for Allocation of Heterogeneous Items in Strategic Settings.  During my PhD I was a recipient of the Infosys Doctoral Fellowship.



Research Interests

  • Game Theory
  • Mechanism Design 
  • Application of Game Theory to AI 
    • Social networks,
    • Internet advertising,
    • Crowdsourcing, 
    • Crowdfunding,
    • Intelligent transportation,
    • Online education.
  • Machine Learning
  • Game Theory and Machine Learning
  • Cryptography
  • Cryptographic Game Theory (Securing Auctions)

Openings

I have few openings for highly motivated Master and PhD students to work on fascinating research problems in applied game theory as well as  problems which lie at the intersection of Machine Learning and Game Theory. Note you must be admitted to IIITH if you are interesting in working with me as a regular student. If you are interested, you can drop a email to schedule a meeting from your IIITH email ID. Currently, I do not have any internship openings for Bachelor's or Master's students.

Professional Activities

      PC member WINE 2017, IJCAI 2017, AAMAS 2017, IJCAI 2016

        Reviewer: FSTCCS'15, ACM EC'15, AAAI'15, ICOR'12 WINE'12, AI, GEB, EJOR, ECRA

Teaching


CSE481: Optimization Methods (Spring 2017) (IIITH)
CSE498: Introduction to Game Theory (Monsoon 2016)   (IIITH)
Advanced Topics in Algorithmic Game Theory and Mechanism Design EPFL (Spring 2015).

   


Recent Publications

  • Referral-Embedded Provision Point Mechanisms for Crowdfunding of Public Projects, AAMAS 2017
  • Thompson Sampling Based Mechanisms for Stochastic Multi-Armed Bandit Problems, AAMAS 2017
  • Online Auctions for Dynamic Assignments: Theory and Empirical Evaluation, ECAI 2016
  • Crowdsourced Referral Auctions, ECAI 2016
  • Crowdfunding Public Projects with Provision Point: A Prediction Market Approach, ECAI 2016
  • LocalCoin: An Ad-hoc Payment Scheme for Areas with High Connectivity, MOBIHOC 2016
  • A Deterministic MAB Mechanism for Crowdsourcing with Logarithmic Regret and Immediate Payments, AAMAS 2016
  • Auction Based Mechanisms for Dynamic Task Assignments in Expert Crowdsourcing, AMEC/TADA 2015
  • An Optimal Bi-dimensional Multi- Armed Bandit Auction, AAMAS 2015
  • Dynamic Task Assignments: An Online Two Sided Matching Approach, MATCHUP 2015
  • RISC: Robust Infrastructure over Shared Computing Resources Through Dynamic Pricing and Incentivization, IPDPS 2015.
  • A mechanism to optimally balance cost and quality of labeling tasks outsourced to strategic agents,  AAMAS 2014.
  • A quality assuring multi-armed bandit crowdsourcing mechanism with incentive compatible learning, AAMAS 2014.

Elsewhere




 


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