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Kamesh Munagala

Kamesh Munagala

D-Index & Metrics

Computer Science

D-Index
51
Citations
9193
World Ranking
5392
National Ranking
2466

Research.com Recognitions

  • 2019 - ACM Distinguished Member
  • 2009 - Fellow of Alfred P. Sloan Foundation

Overview

Kamesh Munagala is affiliated with Duke University in the United States. Their research spans multiple areas within decision sciences and computer science, with a specialization in aspects of economics, operations research, and applied computational methods.

The primary fields of study for Munagala include:

  • Decision Sciences (35 publications)
  • Computer Science (24 publications)

Subfields of specialization highlight a multidisciplinary approach, focusing on:

  • Management Science and Operations Research (32 publications)
  • Economics and Econometrics (15 publications)
  • Computer Networks and Communications (9 publications)
  • Marketing (9 publications)
  • Safety Research (8 publications)

The research topics covered by Munagala emphasize economic mechanisms and game theory, including:

  • Auction Theory and Applications (42 publications)
  • Game Theory and Voting Systems (22 publications)
  • Consumer Market Behavior and Pricing (18 publications)
  • Optimization and Search Problems (16 publications)
  • Game Theory and Applications (14 publications)
  • Experimental Behavioral Economics Studies (12 publications)
  • Privacy-Preserving Technologies in Data (8 publications)

Munagala's recent publications include:

  • Group Fairness in Committee Selection, 2020, ACM Transactions on Economics and Computation
  • Advertising for Demographically Fair Outcomes, 2020, arXiv (Cornell University)
  • Predict and Match, 2020, Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • The Limits of an Information Intermediary in Auction Design, 2022, Proceedings of the 23rd ACM Conference on Economics and Computation
  • Optimal Price Discrimination for Randomized Mechanisms, 2022, Proceedings of the 23rd ACM Conference on Economics and Computation

Frequent co-authors collaborating with Munagala include:

  • Kangning Wang (18 publications)
  • Yiheng Shen (11 publications)
  • Siddhartha Banerjee (10 publications)
  • Sreenivas Gollapudi (6 publications)
  • Sungjin Im (6 publications)

The venues where Munagala most frequently publishes are:

  • arXiv (Cornell University) - 23 publications
  • ACM Transactions on Economics and Computation - 3 publications
  • Proceedings of the ACM on Measurement and Analysis of Computing Systems - 2 publications
  • Proceedings of the 23rd ACM Conference on Economics and Computation - 2 publications
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl) - 2 publications

Awards received by Munagala include the ACM Distinguished Member in 2019 and a fellowship from the Alfred P. Sloan Foundation in 2009.

Best Publications

  • Local Search Heuristics for k -Median and Facility Location Problems

    Vijay Arya;Naveen Garg;Rohit Khandekar;Adam Meyerson

  • Local search heuristic for k-median and facility location problems

    Vijay Arya;Naveen Garg;Rohit Khandekar;Adam Meyerson

  • Adaptive ordering of pipelined stream filters

    Shivnath Babu;Rajeev Motwani;Kamesh Munagala;Itaru Nishizawa

  • Cost-Distance: Two Metric Network Design

    Adam Meyerson;Kamesh Munagala;Serge Plotkin

  • Approximation algorithms for restless bandit problems

    Sudipto Guha;Kamesh Munagala;Peng Shi

  • Operator placement for in-network stream query processing

    Utkarsh Srivastava;Kamesh Munagala;Jennifer Widom

  • A Sampling-Based Approach to Optimizing Top-k Queries in Sensor Networks

    A.S. Silberstein;R. Braynard;C. Ellis;K. Munagala

  • Query optimization over web services

    Utkarsh Srivastava;Kamesh Munagala;Jennifer Widom;Rajeev Motwani

  • Hierarchical placement and network design problems

    S. Guha;A. Meyerson;K. Munagala

  • Modeling opinion dynamics in social networks

    Abhimanyu Das;Sreenivas Gollapudi;Kamesh Munagala

  • Order matters: transmission reordering in wireless networks

    Justin Manweiler;Naveen Santhapuri;Souvik Sen;Romit Roy Choudhury

  • Energy-efficient monitoring of extreme values in sensor networks

    Adam Silberstein;Kamesh Munagala;Jun Yang

  • Adaptive caching for continuous queries

    Shivnath Babu;Kamesh Munagalat;J. Widom;Rajeev Motwani

  • Approximation algorithms for budgeted learning problems

    Sudipto Guha;Kamesh Munagala

  • Optimization of continuous queries with shared expensive filters

    Kamesh Munagala;Utkarsh Srivastava;Jennifer Widom

  • A constant factor approximation for the single sink edge installation problems

    Sudipto Guha;Adam Meyerson;Kamesh Munagala

  • Learning and Approximating the Optimal Strategy to Commit To

    Joshua Letchford;Vincent Conitzer;Kamesh Munagala

  • Budget-Constrained Auctions with Heterogeneous Items

    Sayan Bhattacharya;Gagan Goel;Sreenivas Gollapudi;Kamesh Munagala

  • The pipelined set cover problem

    Kamesh Munagala;Shivnath Babu;Rajeev Motwani;Jennifer Widom

  • Fair Allocation of Indivisible Public Goods

    Brandon Fain;Kamesh Munagala;Nisarg Shah

  • The Core of the Participatory Budgeting Problem

    Brandon Fain;Ashish Goel;Kamesh Munagala

Frequent Co-Authors

Sudipto Guha
Sudipto Guha University of Pennsylvania
Ashish Goel
Ashish Goel Stanford University
Jun Yang
Jun Yang Duke University
Shivnath Babu
Shivnath Babu Duke University
Jennifer Widom
Jennifer Widom Stanford University
Vincent Conitzer
Vincent Conitzer Carnegie Mellon University
Pankaj K. Agarwal
Pankaj K. Agarwal Duke University
Rajeev Motwani
Rajeev Motwani Stanford University
Kirk Pruhs
Kirk Pruhs University of Pittsburgh
Saswati Sarkar
Saswati Sarkar University of Pennsylvania

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