World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
17447
World Ranking
2589
National Ranking
1290

Research.com Recognitions

  • 2020 - SIAM Fellow For contributions to randomized algorithms and probablistic methods with applications to network and computational science.
  • 2019 - Fellow of the American Mathematical Society For contributions to theoretical computer science, discrete probability, network science and applications and for service to the profession.
  • 2019 - ACM Senior Member
  • 2018 - Member of Academia Europaea
  • 2014 - ACM Fellow For contributions to algorithms, probabilistic methods, and networks.
  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1985 - Fellow of the American Society of Mechanical Engineers

Overview

Aravind Srinivasan is affiliated with the University of Maryland, College Park, in the United States. Their research activities primarily span the field of Computer Science, with a total of 51 publications contributing to this domain.

Their work covers various subfields of study including:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Main topics addressed in their publications involve:

  • Complexity and Algorithms in Graphs
  • Optimization and Search Problems
  • Privacy-Preserving Technologies in Data
  • Transportation and Mobility Innovations
  • COVID-19 epidemiological studies
  • Sharing Economy and Platforms
  • Advanced Optimization Algorithms Research

The scientist has published frequently in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)
  • ACM Transactions on Economics and Computation
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Prominent papers include:

  • "Prioritizing allocation of COVID-19 vaccines based on social contacts increases vaccination effectiveness," 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • "Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Allocation Problems in Ride-sharing Platforms," 2021, ACM Transactions on Economics and Computation
  • "Effective Social Network-Based Allocation of COVID-19 Vaccines," 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • "Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours," 2020, Proceedings of the AAAI/ACM Conference on AI Ethics and Society

Frequent co-authors collaborating with Aravind Srinivasan include:

  • Brian Brubach
  • Anil Vullikanti
  • John P. Dickerson
  • Leonidas Tsepenekas
  • Nathaniel Grammel

The scientist's contributions have been recognized through various honors and fellowships. These include:

  • SIAM Fellow, 2020, for contributions to randomized algorithms and probabilistic methods with applications to network and computational science
  • ACM Senior Member, 2019
  • Fellow of the American Mathematical Society, 2019, for contributions to theoretical computer science, discrete probability, and network science and for service to the profession
  • Member of Academia Europaea, 2018
  • ACM Fellow, 2014, for contributions to algorithms, probabilistic methods, and networks
  • Fellow of the American Association for the Advancement of Science (AAAS), 2012
  • Fellow of the American Society of Mechanical Engineers, 1985

Best Publications

  • Modelling disease outbreaks in realistic urban social networks.

    Stephen Eubank;Hasan Guclu;V. S. Anil Kumar;Madhav V. Marathe

  • Mobile Data Offloading through Opportunistic Communications and Social Participation

    Bo Han;Pan Hui;V. S. A. Kumar;M. V. Marathe

  • Chernoff-Hoeffding Bounds for Applications with Limited Independence

    Jeanette P. Schmidt;Alan Siegel;Aravind Srinivasan

  • Innovization: innovating design principles through optimization

    Kalyanmoy Deb;Aravind Srinivasan

  • P 5 : a protocol for scalable anonymous communication

    Rob Sherwood;Bobby Bhattacharjee;Aravind Srinivasan

  • Splitters and near-optimal derandomization

    M. Naor;L.J. Schulman;A. Srinivasan

  • LUSTER: wireless sensor network for environmental research

    L. Selavo;A. Wood;Q. Cao;T. Sookoor

  • Cellular traffic offloading through opportunistic communications: a case study

    Bo Han;Pan Hui;V.S. Anil Kumar;Madhav V. Marathe

  • Randomized Distributed Edge Coloring via an Extension of the Chernoff--Hoeffding Bounds

    Alessandro Panconesi;Aravind Srinivasan

  • Fast distributed algorithms for (weakly) connected dominating sets and linear-size skeletons

    Devdatt Dubhashi;Alessandro Mei;Alessandro Panconesi;Jaikumar Radhakrishnan

  • A Client-Driven Approach for Channel Management in Wireless LANs

    A. Mishra;V. Brik;S. Banerjee;A. Srinivasan

  • P/sup 5/ : a protocol for scalable anonymous communication

    R. Sherwood;B. Bhattacharjee;A. Srinivasan

  • Client-driven channel management for wireless LANs

    Arunesh Mishra;Vladimir Brik;Suman Banerjee;Aravind Srinivasan

  • Dependent rounding and its applications to approximation algorithms

    Rajiv Gandhi;Samir Khuller;Srinivasan Parthasarathy;Aravind Srinivasan

  • Resilient multicast using overlays

    Suman Banerjee;Seungjoon Lee;Bobby Bhattacharjee;Aravind Srinivasan

  • Algorithmic aspects of capacity in wireless networks

    V. S. Anil Kumar;Madhav V. Marathe;Srinivasan Parthasarathy;Aravind Srinivasan

  • Approximation algorithms for partial covering problems

    Rajiv Gandhi;Samir Khuller;Aravind Srinivasan

  • 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators

    Naren Ramakrishnan;Patrick Butler;Sathappan Muthiah;Nathan Self

  • System and method for locating a closest server in response to a client domain name request

    Matthew Andrews;Markus Hofmann;Bruce Shepherd;Aravind Srinivasan

  • Approximating the Domatic Number

    Uriel Feige;Magnús M. Halldórsson;Guy Kortsarz;Aravind Srinivasan

  • An improved approximation for k-median, and positive correlation in budgeted optimization

    Jarosław Byrka;Thomas Pensyl;Bartosz Rybicki;Aravind Srinivasan

Frequent Co-Authors

Madhav V. Marathe
Madhav V. Marathe University of Virginia
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University
Samir Khuller
Samir Khuller Northwestern University
Bobby Bhattacharjee
Bobby Bhattacharjee University of Maryland, College Park
Alessandro Panconesi
Alessandro Panconesi Sapienza University of Rome
Nikhil Bansal
Nikhil Bansal University of Michigan–Ann Arbor
Guy Kortsarz
Guy Kortsarz Rutgers, The State University of New Jersey
Eran Halperin
Eran Halperin University of California, Los Angeles
Philip M. Long
Philip M. Long Google (United States)
Andris Ambainis
Andris Ambainis University of Latvia

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