World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
17653
World Ranking
2582
National Ranking
1287

Research.com Recognitions

  • 2018 - SIAM Fellow For contributions to high performance computing algorithms and software systems for network science and public health epidemiology.
  • 2014 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2013 - ACM Fellow For contributions to high performance computing algorithms and software environments for simulating and analyzing socio-technical systems.
  • 2013 - IEEE Fellow For contributions to development of formal models and software tools for understanding socio-technical networks

Overview

Madhav V. Marathe is affiliated with the University of Virginia in the United States. The scientist's research encompasses a range of topics primarily centered around epidemiology, infectious diseases, and computational modeling for public health.

The main fields of study include modeling and simulation, with 81 publications, epidemiology with 50 publications, infectious diseases alongside statistical and nonlinear physics with 27 publications each, and health with 21 publications.

The scientist has contributed extensively to research on COVID-19 and related epidemiological studies. Major topics of their work include:

  • COVID-19 epidemiological studies
  • Data-Driven Disease Surveillance
  • Vaccine Coverage and Hesitancy
  • Complex Network Analysis Techniques
  • SARS-CoV-2 and COVID-19 Research
  • COVID-19 Pandemic Impacts
  • Influenza Virus Research Studies

The scientist has published in multiple venues, often collaborating on high-impact papers. Frequent publication venues include:

  • Zenodo (CERN European Organization for Nuclear Research), 123 publications
  • bioRxiv (Cold Spring Harbor Laboratory), 26 publications
  • arXiv (Cornell University), 26 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence, 9 publications
  • Proceedings of the National Academy of Sciences, 7 publications

Notable frequent coauthors include Przemyslaw Porebski, Bryan Lewis, Srinivasan Venkatramanan, Aniruddha Adiga, and Benjamin Hurt.

Recent papers associated with Madhav V. Marathe cover various aspects of the COVID-19 pandemic and modeling approaches. These include:

  • Commentary on Ferguson, et al., "Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand", 2020, Bulletin of Mathematical Biology
  • Mathematical Models for COVID-19 Pandemic: A Comparative Analysis, 2020, Journal of the Indian Institute of Science
  • Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios - United States, April-September 2021, 2021, MMWR Morbidity and Mortality Weekly Report
  • Privacy-first health research with federated learning, 2021, npj Digital Medicine
  • The United States COVID-19 Forecast Hub dataset, 2022, Scientific Data

Madhav V. Marathe has received several distinctions for contributions to computational modeling and public health. Awards include:

  • SIAM Fellow (2018) for contributions to high performance computing algorithms and software systems for network science and public health epidemiology
  • Fellow of the American Association for the Advancement of Science (AAAS) in 2014
  • IEEE Fellow (2013) for contributions to formal models and software tools for understanding socio-technical networks
  • ACM Fellow (2013) for contributions to high performance computing algorithms and software environments for simulating and analyzing socio-technical systems

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

  • Simple heuristics for unit disk graphs

    Madhav V. Marathe;H. Breu;Harry B. Hunt;S. S. Ravi

  • Algorithmic aspects of topology control problems for ad hoc networks

    Errol L. Lloyd;Rui Liu;Madhav V. Marathe;Ram Ramanathan

  • NC-Approximation Schemes for NP- and PSPACE-Hard Problems for Geometric Graphs

    Harry B Hunt;Madhav V Marathe;Venkatesh Radhakrishnan;S.S Ravi

  • Cellular traffic offloading through opportunistic communications: a case study

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

  • EpiSimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks

    Christopher L. Barrett;Keith R. Bisset;Stephen G. Eubank;Xizhou Feng

  • Modeling the Impact of Interventions on an Epidemic of Ebola in Sierra Leone and Liberia

    Caitlin M. Rivers;Eric T. Lofgren;Madhav Marathe;Stephen Eubank

  • Algorithmic aspects of capacity in wireless networks

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

  • Spanning Trees---Short or Small

    R. Ravi;R. Sundaram;M. V. Marathe;D. J. Rosenkrantz

  • Formal-Language-Constrained Path Problems

    Chris Barrett;Riko Jacob;Madhav Marathe

  • EpiFast: a fast algorithm for large scale realistic epidemic simulations on distributed memory systems

    Keith R. Bisset;Jiangzhuo Chen;Xizhou Feng;V.S. Anil Kumar

  • Bicriteria Network Design Problems

    Madhav V Marathe;R Ravi;Ravi Sundaram;S.S Ravi

  • Characterizing the interaction between routing and MAC protocols in ad-hoc networks

    Chris Barrett;Achla Marathe;Madhav V. Marathe;Martin Drozda

  • The distance-2 matching problem and its relationship to the MAC-Layer capacity of ad hoc wireless networks

    H. Balakrishnan;C.L. Barrett;V.S.A. Kumar;M.V. Marathe

  • Using data-driven agent-based models for forecasting emerging infectious diseases.

    Srinivasan Venkatramanan;Bryan L. Lewis;Jiangzhuo Chen;Dave Higdon;Dave Higdon

  • Generation and analysis of large synthetic social contact networks

    Christopher L. Barrett;Richard J. Beckman;Maleq Khan;V. S. Anil Kumar

  • Models and approximation algorithms for channel assignment in radio networks

    Sven O. Krumke;Madhav V. Marathe;S. S. Ravi

  • On the red-blue set cover problem

    Robert D. Carr;Srinivas Doddi;Goran Konjevod;Madhav Marathe

  • Many birds with one stone: multi-objective approximation algorithms

    R. Ravi;M. V. Marathe;S. S. Ravi;D. J. Rosenkrantz

  • Spanning trees short or small

    R. Ravi;R. Sundaram;Madhav V. Marathe;S. S. Ravi

Frequent Co-Authors

S. S. Ravi
S. S. Ravi University of Virginia
Christopher L. Barrett
Christopher L. Barrett University of Virginia
Daniel J. Rosenkrantz
Daniel J. Rosenkrantz University of Virginia
Richard Edwin Stearns
Richard Edwin Stearns University at Albany, State University of New York
R. Ravi
R. Ravi Carnegie Mellon University
Aravind Srinivasan
Aravind Srinivasan University of Maryland, College Park
Ravi Sundaram
Ravi Sundaram Northeastern University
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University
Naren Ramakrishnan
Naren Ramakrishnan Virginia Tech
Geoffrey C. Fox
Geoffrey C. Fox University of Virginia

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