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Gagan GoelPostdoctoral Fellow School of Computer Science Georgia Institute of Technology. CV: pdf |
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I completed my Ph.D. in Algorithms, Combinatorics, and Optimization at Georgia
Tech in Aug 2009, under the supervision of Prof. Vijay Vazirani.
During my Ph.D. study, I did internships at:   - Google Research (Summer 08)   - Yahoo! (Summer 07)   - Amazon.com (Summer 06) Before that I was at Indian Institute of Technology, Delhi, where I completed my B.Tech in Computer Science and Engineering in Aug 2004. Research Interests: - Computational aspects of Economics and Game Theory, Algorithmic Mechanism Design, Auction Theory. - Algorithm Design, Approximation and Online Algorithms for Combinatorial Optimization Problems. Publications & Tech Reports: - Single-Parameter Combinatorial Auctions with Partially Public Valuations. To appear in SAGT, 10. with C. Karande and L. Wang. - A Perfect Price Discrimination Market Model with Production, and a (Rational) Convex Program for it. To appear in SAGT, 10. with V. Vazirani. - Budget-constrained Auctions with Heterogeneous Items. STOC, 10. with S. Bhattacharya, S. Gollapudi, and K. Munagala. - Approximability of Combinatorial Problems with Multi-agent Submodular Cost Functions . FOCS, 09. with C. Karande, P. Tripathi, and L. Wang. - Efficiency of Revenue-Optimal Mechanisms. EC,09. with Gagan Aggarwal and Aranyak Mehta. - On the Approximability of Budgeted Allocations and Improved Lower Bounds for Submodular Welfare Maximization and GAP. FOCS, 08. with Deeparnab Chakrabarty. - Efficiency, Fairness, and Competitiveness in Nash Bargaining Games. WINE, 08. with Deeparnab Chakrabarty, Vijay Vazirani, Lei Wang and Changyuan Yu. - Online Budgeted Matching in Random Input Models with applications to Adwords. SODA, 08. with Aranyak Mehta. - Adwords Auctions with Decreasing Valuation Bids. WINE, 07. with Aranyak Mehta. - Towards Topology Aware Networks. INFOCOM, 07. with Milena Mihail, Amin Saberi, and Christos Gkantsidis. - Minimizing Flow Time on Related Machines. B.Tech Thesis, 2004. Thesis advisors: Naveen Garg, Amit Kumar. Working / Under Submission Papers - Online Vertex-weighted Bipartite Matching. Submitted, 10. with Gagan Aggarwal, Chinmay Karande, and Aranyak Mehta. - Truthfulness vs Approximability: An Irreconcilable conflict. Manuscript, 09. with L. Wang. - Algorithms for Auctions with Combinatorial Demand and Sellers with Discounted Price Functions. Manuscript, 09. with P. Tripathi and L. Wang. - Submodularity Helps in Nash and Non-symmetric Bargaining Games. Submitted, 09. with D. Chakrabarty, V. Vazirani, L. Wang, C. Yu. Selected Talks: - Algorithms for Multi-agent Combinatorial Problems with Submodular Cost Functions. Given at: - Univ. of Washington . - Stanford University. - Univ. of California, Berkeley. - Budgeted Allocations/Auctions with Budget Constraints. Given at: - Microsoft Research, Redmond. - Workshop on Approximation Algorithms and their Limitations at TTI-Chicago. - INFORMS 2009. - Google Research, Mountain View. - Georgia Tech ACO student seminar. - Efficiency of Revenue-Optimal Mechanisms. Given at: - Bellairs Workshop on Algorithmic Game Theory. - ISMP 2009. - NY Computer Science and Economics Day rump session 2008. Contact: - Email: gagang AT cc DOT gatech DOT edu - Office: Klaus 2116 - Phone: 678-772-3352 |