Jugal's research studies algorithms and complexity for some of the most fundamental problems in economics and computation, with a particular focus on allocation problems arising in fair division and general equilibrium theory.
Jugal received BTech and PhD in Computer Science from IITBombay. Later, he was a postdoc in Algorithms and Randomness Center at Georgia Tech, and in Algorithms and Complexity group at MaxPlanckInstitut für Informatik, Saarbrücken.
Jugal has received several awards for his research, including the NSF CRII Award, the NSF CAREER Award, the Exemplary Theory Paper Award at ACM EC 2020, INFORMS Koopman Prize 2021, and the Dean's Award for Excellence in Research 2022. For his teaching, he has received the James Franklin Sharp Outstanding Teaching Award 2019, ISE Department Head Teaching Award 2023, and have been featured in the List of Teachers Ranked as Excellent multiple times. For more information, please see CV.
Recent/Upcoming Activities
 Recent Program Committees: WINE 2024 (SPC), IJCAI 2024, WINE 2023 (cochair), EC 2023, SODA 2023, IJCAI 2023, SAGT 2022, EC 2022, IJCAI 2022, WWW 2022, AAAI 2022, EC 2021, IJCAI 2021, AAMAS 2021, AAAI 2021, FOCS 2020, EC 2020, SODA 2020
 Invited talks at ACO/CS seminar@UCI, Irvine, March 78, 2024
 Invited talk at Fairness workshop@FSTTCS, Hyderabad, India, December 1617, 2023
 Invited talk at LSE, London, June 921, 2023
 Invited talk at COMSOC Seminar, May 12, 2023 (Online)
 Keynote talk at Bellairs Workshop on MultiAgent Systems, Barbados, March 2531, 2023
 Invited talk at FOCS 2022 workshop on Fair Division: Algorithms & Complexity, Denver, October 31  November 3, 2022
 Invited tutorial at Summer School on Game Theory and Social Choice, City University of Hong Kong, June 2022 (Online)
 Invited talk at DIMAP seminar at the University of Warwick, UK, October 18, 2021 (Online)
 Invited talk at IJTCS 2021, Beijing, China, August 1620, 2021 (Online)
 Invited talk at EC'21 workshop on Fair Resource Allocation: Concepts, Algorithms and Complexity EC 2021, Hungary, July 1823, 2021 (Online)
 Invited talk at HALG 2020, Zurich, August 31September 2, 2020 (Online)
 ADFOCS 2020, Saarbrücken, Germany, August 2428, 2020 (Online)
 Plenary talk at ITA 2020, San Diego, February 27, 2020
Teaching
 IE 310: Deterministic Models in Optimization, Spring 2023
 IE 405: Computing for ISE, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024
 IE 598: Games, Markets, and Mathematical Programming, Fall 2016, Fall 2017, Spring 2020 (Lecture Notes)
 IE 598GT: Topics in Game Theory and Fair Division, Spring 2021, Spring 2022, Spring 2024
 IE 498: Computing for ISE, Spring 2016, Spring 2017, Spring 2018, Fall 2018
 CS 8803: Advanced Topics in Algorithmic Game Theory, Spring 2013 (cotaught at Georgia Tech)
Postdocs
Bhaskar Ray Chaudhury (2021  2023); now an assistant professor at UIUC
Students
Peter McGlaughlin
Timothy Murray (coadvised with Rakesh Nagi)
Setareh Taki
John Qin
Eklavya Sharma
Pooja Kulkarni (CS)
Aniket Murhekar (CS, coadvised with Ruta Mehta; Siebel Scholar 2020)
Omkar Thakoor (MS, CS) (graduated in May 2017; now a Ph.D. student at USC)
Selected Publications (We have implemented some of our algorithms. Source code is available on request; just send me an email.)
Preprints
Refereed Journal Papers
 Hannaneh Akrami, Noga Alon, Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, and Ruta Mehta. EFX: A Simpler Approach and an (Almost) Optimal Guarantee via Rainbow Cycle Number. Operations Research (accepted).
 Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, Ruta Mehta, and Pranabendu Misra. Improving EFX Guarantees through Rainbow Cycle Number. Mathematics of Operations Research (accepted).
 Jugal Garg, Edin Husić, and László Végh. Auction Algorithms for Market Equilibrium with Weak Gross Substitute Demands and their Applications. ACM Transactions on Economics and Computation (accepted).
 Jugal Garg, Martin Hoefer, and Kurt Mehlhorn. Satiation in Fisher Markets and Approximation of Nash Social Welfare. Mathematics of Operations Research 49(2): 11091139 (2024).
 Jugal Garg and Aniket Murhekar. Computing ParetoOptimal and Almost EnvyFree Allocations of Indivisible Goods. Journal of Artificial Intelligence Research 80: 125 (2024).
 Jugal Garg, Thorben Tröbst, and Vijay Vazirani. OneSided Matching Markets with Endowments: Equilibria and Algorithms. Autonomous Agents and MultiAgent Systems 38(2): 40 (2024).
 Bhaskar Ray Chaudhury, Jugal Garg, and Kurt Mehlhorn. EFX Exists for Three Agents. Journal of the ACM 71(1): 4:14:27 (2024).
 Jugal Garg, Martin Hoefer, Peter McGlaughlin, and Marco Schmalhofer. Competitive Equilibria with a Constant Number of Chores. Journal of Artificial Intelligence Research 78: 12011219 (2023).
 Jugal Garg, Pooja Kulkarni, and Rucha Kulkarni. Approximating Nash Social Welfare under Submodular Valuations through (Un)Matchings. ACM Transactions on Algorithms ACM Trans. Algorithms 19(4): 36:136:25 (2023).
 Bhaskar Ray Chaudhury, Jugal Garg, Peter McGlaughlin, and Ruta Mehta. A Complementary Pivot Algorithm for Competitive Allocation of a Mixed Manna. Mathematics of Operations Research 48(3): 16301656 (2023).
 Jugal Garg and László Végh. A Strongly Polynomial Algorithm for Linear Exchange Markets. Operations Research 71(2): 487505 (2023).
 Jugal Garg and Aniket Murhekar. Computing Fair and Efficient Allocations with Few Utility Values. Theoretical Computer Science 962: 113932 (2023).
 Bhaskar Chaudhury, Yun Kuen Cheung, Jugal Garg, Naveen Garg, Martin Hoefer, and Kurt Mehlhorn. Fair Division of Indivisible Goods for a Class of Concave Valuations. Journal of Artificial Intelligence Research, 74: 111142 (2022).
 Timothy Murray, Jugal Garg, and Rakesh Nagi. PrizeCollecting MultiAgent Orienteering: Price of Anarchy Bounds and Solution Methods. IEEE Transactions on Automation Science and Engineering, 19(1): 531544 (2022).
 Jugal Garg and Setareh Taki. An Improved Approximation Algorithm for Maximin Shares. Artificial Intelligence 300: 103547 (2021).
 Jugal Garg, Edin Husić, and László Végh. Approximating Nash Social Welfare under Rado Valuations. SIGecom Exch. 19(1): 4551 (2021).
 Bharat Adsul, Jugal Garg, Ruta Mehta, Milind Sohoni, and Bernhard von Stengel. Fast Algorithms for Rank1 Bimatrix Games. Operations Research, 69(2): 613631 (2021).
 Timothy Murray, Jugal Garg, and Rakesh Nagi. LimitedTrust Equilibria. European Journal of Operational Research, 289(1): 364380 (2021).
 Jugal Garg and Peter McGlaughlin. Improving Nash Social Welfare Approximations. Journal of Artificial Intelligence Research, 68: 225245 (2020).
 Omkar Thakoor, Jugal Garg, and Rakesh Nagi. MultiAgent UAV Routing: A Game Theory Analysis with Tight Price of Anarchy Bounds. IEEE Transactions on Automation Science and Engineering, 17(1): 100116 (2020). Winner of INFORMS Koopman Prize 2021.
 Xiaohui Bei, Jugal Garg, Martin Hoefer, and Kurt Mehlhorn. Earning and Utility Limits in Fisher Markets. ACM Transactions on Economics and Computation, 7(2): 10:110:35 (2019).
 Xiaohui Bei, Jugal Garg, and Martin Hoefer. AscendingPrice Algorithms for Unknown Markets. ACM Transactions on Algorithms, 15(3): 37:137:33 (2019).
 Jugal Garg, Ruta Mehta, and Vijay Vazirani. Substitution with Satiation: A New Class of Utility Functions and a Complementary Pivot Algorithm. Mathematics of Operations Research, 43(3): 9961024 (2018).
 Jugal Garg, Ruta Mehta, Vijay Vazirani, and Sadra Yazdanbod. EXISTSRCompleteness for Decision Versions of MultiPlayer (Symmetric) Nash Equilibria. ACM Transactions on Economics and Computation, 6(1): 1:11:23 (2018).
 Reshmina William, Jugal Garg, and Ashlynn Stillwell. A Game Theory Analysis of Green Infrastructure Implementation Policies. Water Resources Research, 53:9 80038019 (2017). Featured in Editor's Highlight.
 Jugal Garg. Market Equilibrium under Piecewise Leontief Concave Utilities. Theoretical Computer Science, 703: 5565 (2017).
 Nikhil Devanur, Jugal Garg, and László Végh. A Rational Convex Program for Linear ArrowDebreu Markets. ACM Transactions on Economics and Computation, 5(1): 6:16:13 (2016).
 Jugal Garg, Ruta Mehta, and Vijay Vazirani. Dichotomies in Equilibrium Computation, and Membership of PLC markets in FIXP. Theory of Computing, 12(1): 125 (2016).
 Jugal Garg, Ruta Mehta, Milind Sohoni, and Vijay Vazirani. A Complementary Pivot Algorithm for Market Equilibrium under Separable, PiecewiseLinear Concave Utilities. SIAM Journal on Computing 44(6): 18201847 (2015).
Refereed Conference Papers
 Jugal Garg, Yixin Tao, and László Végh. Approximating Competitive Equilibrium by Nash Welfare. To appear in the Proceedings of the 36th Annual ACMSIAM Symposium on Discrete Algorithms (SODA), 2025.
 Hannaneh Akrami, Jugal Garg, Eklavya Sharma, and Setareh Taki. Improving Approximation Guarantees for Maximin Share. Proceedings of the 25th ACM Conference on Economics and Computation (EC), 2024.
 Jugal Garg, Aniket Murhekar, and John Qin. Weighted EF1 and PO Allocations with Few Types of Agents or Chores. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024.
 Hannaneh Akrami and Jugal Garg. Breaking the 3/4 Barrier for Approximate Maximin Share. Proceedings of the 35th Annual ACMSIAM Symposium on Discrete Algorithms (SODA), 2024.
 Hannaneh Akrami, Noga Alon, Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, and Ruta Mehta. EFX: A Simpler Approach and an (Almost) Optimal Guarantee via Rainbow Cycle Number. Proceedings of the 24th ACM Conference on Economics and Computation (EC), 2023.
 Hannaneh Akrami, Jugal Garg, Eklavya Sharma, and Setareh Taki. Simplification and Improvement of MMS Approximation. Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023.
 Jugal Garg, Aniket Murhekar, and John Qin. Improving Fairness and Efficiency Guarantees for Allocating Indivisible Chores. Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023.
 Ioannis Caragiannis, Jugal Garg, Nidhi Rathi, Eklavya Sharma, and Giovanna Varricchio Existence and Computation of Epistemic EFX. Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023.
 Hannaneh Akrami, Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, and Ruta Mehta. Fair and Efficient Allocation of Indivisible Chores with Surplus. Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023.
 Jugal Garg, Edin Husić, Wenzheng Li, László Végh, and Jan Vondrák. Approximating Nash Social Welfare by Matching and Local Search. Proceedings of the 55th Symposium on Theory of Computing (STOC), 2023.
 Jugal Garg, Thorben Tröbst, and Vijay Vazirani. A NashBargainingBased Mechanism for OneSided Matching Markets under Dichotomous Utilities. Proceedings of the 22nd International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2023.
 Bhaskar Ray Chaudhury, Jugal Garg, Peter McGlaughlin, and Ruta Mehta. Competitive Equilibrium with Chores: Combinatorial Algorithm
and Hardness. Proceedings of the 23rd ACM Conference on Economics and Computation (EC), 2022.
 Jugal Garg, Edin Husić, Aniket Murhekar, and László Végh. Tractable Fragments of the Maximum Nash Welfare Problem. Proceedings of the 18th Conference on Web and Internet Economics (WINE), 2022.
 Jugal Garg, Aniket Murhekar, and John Qin. Fair and Efficient Allocations of Chores under Bivalued Preferences. Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022.
 Bhaskar Ray Chaudhury, Jugal Garg, Peter McGlaughlin, and Ruta Mehta. On the Existence of Competitive Equilibrium with Chores. Proceedings of the 13th Innovations in Theoretical Computer Science Conference (ITCS), 2022.
 Jugal Garg, Yixin Tao, and László Végh. Approximating Equilibrium under Constrained Piecewise Linear Concave Utilities with Applications to Matching Markets. Proceedings of the 33rd Annual ACMSIAM Symposium on Discrete Algorithms (SODA), 2022.
 Jugal Garg, Thorben Tröbst, and Vijay Vazirani. OneSided Matching Markets with Endowments: Equilibria and Algorithms. Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2022.
 Jugal Garg, Pooja Kulkarni, and Aniket Murhekar. On Fair and Efficient Allocations of Indivisible Public Goods. Proceedings of the 41st Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), 2021.
 Jugal Garg and Aniket Murhekar. Computing Fair and Efficient Allocations with Few Utility Values. Proceedings of the 14th International Symposium on Algorithmic Game Theory (SAGT), 2021. Invited to the TCS Special Issue for SAGT 2021.
 Jugal Garg, Martin Hoefer, Peter McGlaughlin, and Marco Schmalhofer. When Dividing Mixed Manna is Easier than Dividing Goods: Competitive Equilibria with a Constant Number of Chores. Proceedings of the 14th International Symposium on Algorithmic Game Theory (SAGT), 2021.
 Bhaskar Ray Chaudhury, Jugal Garg, Kurt Mehlhorn, Ruta Mehta, and Pranabendu Misra. Improving EFX Guarantees through Rainbow Cycle Number. Proceedings of the 22nd ACM Conference on Economics and Computation (EC), 2021.
 Jugal Garg, Edin Husić, and László Végh. Approximating Nash Social Welfare under Rado Valuations. Proceedings of the 53rd Symposium on Theory of Computing (STOC), 2021.
 Jugal Garg, Edin Husić, and László Végh. Auction Algorithms for Market Equilibrium with Weak Gross Substitute Demands and their Applications. Proceedings of the 38th International Symposium on Theoretical Aspects of Computer Science (STACS), 2021. Invited to the TOCS Special Issue for STACS 2021.
 Jugal Garg and Aniket Murhekar. On Fair and Efficient Allocations of Indivisible Goods. Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021.
 Bhaskar Ray Chaudhury, Jugal Garg, and Ruta Mehta. Fair and Efficient Allocations under Subadditive Valuations. Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021.
 Bhaskar Ray Chaudhury, Jugal Garg, Peter McGlaughlin, and Ruta Mehta. Competitive Allocation of a Mixed Manna. Proceedings of the 32nd Annual ACMSIAM Symposium on Discrete Algorithms (SODA), 2021.
 Bhaskar Ray Chaudhury, Jugal Garg, and Kurt Mehlhorn. EFX Exists for Three Agents. Proceedings of the 21st ACM Conference on Economics and Computation (EC), 2020. Exemplary Theory Paper Award; Best Paper with a Student Lead Author Award.
 Jugal Garg and Setareh Taki. An Improved Approximation Algorithm for Maximin Shares. Proceedings of the 21st ACM Conference on Economics and Computation (EC), 2020.
 Jugal Garg and Peter McGlaughlin. Computing Competitive Equilibria with Mixed Manna. Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2020.
 Jugal Garg, Pooja Kulkarni, and Rucha Kulkarni. Approximating Nash Social Welfare under Submodular Valuations through (Un)Matchings. Proceedings of the 31st Annual ACMSIAM Symposium on Discrete Algorithms (SODA), 2020.
 Jugal Garg and Peter McGlaughlin. Improving Nash Social Welfare Approximations. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019.
 Jugal Garg and László Végh. A Strongly Polynomial Algorithm for Linear Exchange Markets. Proceedings of the 51st Symposium on Theory of Computing (STOC), 2019. Invited to HALG 2020 and to the SICOMP Special Issue for STOC 2019.
 Jugal Garg, Peter McGlaughlin, and Setareh Taki. Approximating Maximin Share Allocations. Proceedings of the Symposium on Simplicity in Algorithms (SOSA), 2019.
 Bhaskar Chaudhury, Yun Kuen Cheung, Jugal Garg, Naveen Garg, Martin Hoefer, and Kurt Mehlhorn. On Fair Division of Indivisible Items. Proceedings of the 38th Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), 2018.
 Rahul Swamy, Timothy Murray, and Jugal Garg. Network CostSharing Games: Equilibrium Computation and Applications to Election Modeling. Proceedings of the 12th International Conference on Combinatorial Optimization and Applications (COCOA), 2018. Invited to the JOCO Special Issue for COCOA 2018.
 Jugal Garg and Peter McGlaughlin. A Truthful Mechanism for Interval Scheduling. Proceedings of the 11th International Symposium on Algorithmic Game Theory (SAGT), 2018.
 Jugal Garg, Martin Hoefer, and Kurt Mehlhorn. Approximating the Nash Social Welfare with BudgetAdditive Valuations. Proceedings of the 29th Annual ACMSIAM Symposium on Discrete Algorithms (SODA), 2018.
 Nikhil Devanur, Jugal Garg, Ruta Mehta, Vijay Vazirani and Sadra Yazdanbod. A New Class of Combinatorial Markets with Covering Constraints: Algorithms and Applications. Proceedings of the 29th Annual ACMSIAM Symposium on Discrete Algorithms (SODA), 2018.
 Xiaohui Bei, Jugal Garg, Martin Hoefer, and Kurt Mehlhorn. Earning Limits in Fisher Markets with SpendingConstraint Utilities. Proceedings of the 10th International Symposium on Algorithmic Game Theory (SAGT), 2017.
 Jugal Garg, Ruta Mehta, Vijay Vazirani, and Sadra Yazdanbod. Settling the Complexity of Leontief and PLC Exchange Markets under Exact and Approximate Equilibria. Proceedings of the 49th Symposium on Theory of Computing (STOC), 2017.
 Ran Duan, Jugal Garg, and Kurt Mehlhorn. An Improved Combinatorial Polynomial Algorithm for the Linear ArrowDebreu Market. Proceedings of the 27th Annual ACMSIAM Symposium on Discrete Algorithms (SODA), 2016.
 Xiaohui Bei, Jugal Garg, Martin Hoefer, and Kurt Mehlhorn. Computing Equilibria in Markets with BudgetAdditive Utilities. Proceedings of the 24th European Symposium on Algorithms (ESA), 2016.
 Xiaohui Bei, Jugal Garg, and Martin Hoefer. AscendingPrice Algorithms for Unknown Markets. Proceedings of the 17th ACM Conference on Economics and Computation (EC), 2016.
 Xiaohui Bei, Wei Chen, Jugal Garg, Martin Hoefer, and Xiaoming Sun. Learning Market Parameters using Aggregate Demand Queries. Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), 2016.
 Jugal Garg, Ruta Mehta, Vijay Vazirani, and Sadra Yazdanbod. ETRCompleteness for Decision Versions of MultiPlayer (Symmetric) Nash Equilibria. Proceedings of the 42nd International Colloquium on Automata, Languages and Programming (ICALP), 2015.
 Jugal Garg and Ravi Kannan. Markets with Production: A Polynomial Time Algorithm and a Reduction to Exchange. Proceedings of the 16th ACM Conference on Economics and Computation (EC), 2015.
 Jugal Garg, Ruta Mehta, and Vijay Vazirani. Dichotomies in Equilibrium Computation, and Complementary Pivot Algorithms for a New Class of NonSeparable Utility Functions. Proceedings of the 46th Symposium on Theory of Computing (STOC), 2014.
 Jugal Garg and Vijay Vazirani. On Computability of Equilibria in Markets with Production. Proceedings of the 25th Annual ACMSIAM Symposium on Discrete Algorithms (SODA), 2014.
 Jugal Garg. Market Equilibrium under Piecewise Leontief Concave Utilities. Proceedings of the 10th Conference on Web and & Internet Economics (WINE), 2014.
 Jugal Garg, Ruta Mehta, Milind Sohoni, and Nisheeth Vishnoi. Towards Polynomial SimplexLike Algorithms for Market Equilibria. Proceedings of the 24th Annual ACMSIAM Symposium on Discrete Algorithms (SODA), 2013.
 Jugal Garg, Ruta Mehta, Milind Sohoni, and Vijay V. Vazirani. A Complementary Pivot Algorithm for Market Equilibrium under Separable, PiecewiseLinear Concave Utilities. Proceedings of the 44th Symposium on Theory of Computing (STOC), 2012.
 Bharat Adsul, Jugal Garg, Ruta Mehta, and Milind Sohoni. Rank1 Bimatrix Games: A Homeomorphism and a Polynomial Time Algorithm. Proceedings of the 43rd Symposium on Theory of Computing (STOC), 2011. Invited to the GEB Special Issue for STOC/FOCS/SODA 2011.
 Jugal Garg, Albert Jiang and Ruta Mehta. Bilinear Games: Polynomial Time Algorithms for Rank Based Subclasses. Proceedings of the 7th Workshop on Internet & Network Economics (WINE), 2011.
 Bharat Adsul, Ch. Sobhan Babu, Jugal Garg, Ruta Mehta, and Milind Sohoni. A Simplexlike Algorithm for Fisher Markets. Proceedings of the 3rd International Symposium on Algorithmic Game Theory (SAGT), 2010.
 Bharat Adsul, Ch. Sobhan Babu, Jugal Garg, Ruta Mehta, and Milind Sohoni. Nash Equilibria in Fisher Market. Proceedings of the 3rd International Symposium on Algorithmic Game Theory (SAGT), 2010. Invited to the TOCS Special Issue for SAGT 2010.
