SUJIT GUJAR
Currently, I am working as Associate Professor at the International Institute of Information Technology, Hyderabad (IIITH). I hold the CA Technologies Faculty Chair position at IIITH. Prior to IIITH, 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.
My Resume:Click Here (Last Updated Apr'23)
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 IJCAI'23
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 a 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 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)
Elsewhere
Vistor Count (Since 11 April 2007)