Contact
Location
Rice 222
Lab
Biocomplexity Institute - 994 Research Park Blvd, 3rd Floor

Madhav Marathe

Professor, Computer Science Distinguished Professor in Biocomplexity Executive Director, Biocomplexity Institute
Contact
Location
Rice 222
Lab
Biocomplexity Institute - 994 Research Park Blvd, 3rd Floor
Google Scholar Biocomplexity Institute Expeditions - Global Pervasive Computational Epidemiology National Security Data and Policy Institute COVID-19 Pandemic Response

About

Madhav Marathe is an endowed Distinguished Professor in Biocomplexity, Executive Director of the Biocomplexity Institute, and a tenured Professor of Computer Science at the University of Virginia. Dr. Marathe is a passionate advocate and practitioner of transdisciplinary team science. During his 30-year professional career, he has established and led a number of large transdisciplinary projects and groups. His areas of expertise include digital twins, network science, artificial intelligence, high-performance computing, computational epidemiology, biological and socially coupled systems, and data analytics. 

His prior positions include Director of the Network Systems Science and Advanced Computing Division at the Institute (UVA), Professor of Computer Science and Director of the Network Dynamics and Simulation Science Laboratory within the Biocomplexity Institute of Virginia Tech and a team leader of research and computing in the Basic and Applied Simulation Science Group, Computer and Computational Sciences Division at the Los Alamos National Laboratory. He is a Member of the Virginia Academy of Science, Engineering, and Medicine (VASEM) and a Fellow of the American Association for the Advancement of Science (AAAS), Society for Industrial and Applied Mathematics (SIAM), Association for Computing Machinery (ACM), and Institute of Electrical and Electronics Engineers (IEEE). Dr. Marathe has published more than 500 articles in refereed journals, conferences and workshops, book chapters, magazine articles, refereed posters and papers based on abstracts, issued patents, and case study technical reports. Mentoring and training next-generation scientists have been his life-long passion. He has mentored more than a dozen staff scientists, and advised or co-advised 30+ doctoral students, 20+ MS students, and 15 postdoctoral fellows.

Dr. Marathe and his team focus on developing the scientific foundations and associated engineering principles to study large-scale biological, information, social, and technical (BIST) systems. His current interests span five broad themes: (i) methods to construct various BIST networks using partial and noisy data as well as procedural information; (ii) understanding the general form and structure of dynamical processes over BIST networks (e.g., key network/pathway properties and typical pathways that impact dynamics); (iii) algorithmic theory of optimization and control as it pertains to dynamical processes, including methods to detect, enhance, arrest, and mitigate dynamics; (iv) general conceptual and algorithmic foundations to understand the co-evolution of networks and dynamics; and (v) high-performance services-based computing solutions that can be delivered seamlessly to end-users and policymakers.
 

 

Education

BTech. Computer Science and Engineering, IIT Chennai, 1989

Ph.D. Computer Science, University at Albany-SUNY, 1994

Our research focus is to understand general principles that govern the design, analysis, control, and optimization of complex networks. We take a team science approach and develop innovative solutions that have societal impact.

Research Interests

Network science
Machine learning and artificial intelligence
Discrete graphical dynamical systems and multi-agent systems
Computational epidemiology, computational economics, computational immunology, and computational sustainability
Modeling and simulation
High-performance computing
Developing innovative computing technologies for reliable, secure, and sustainable socially coupled systems
Data analytics
Theoretical computer science, including complexity theory and algorithmics

Selected Publications

Modelling disease outbreaks in realistic urban social networks. Nature, 2004, 429(6988):180-184. EUBANK S, GUCLU H, VULLIKANTI A, MARATHE M, SRINIVASAN A, TOROCZKAI Z, WANG N
ABS
Supporting COVID-19 policy response with large-scale mobility-based modeling. Proceedings of the ACM Annual conference on Knowledge Discovery and Data Mining (KDD2021). Best paper award CHANG S, WILSON M, LEWIS B, MEHRAB Z, DUDAKIYA K, PIERSON E, KOH P, GERARDIN J, REDBIRD B, GRUSKY D, MARATHE M, LESKOVEC J
ABS
An agent-based framework to study forced migration: A case study of Ukraine. PNAS nexus. 2024 Mar;3(3):080. MEHRAB Z, STUNDAL L, VENKATRAMANAN S, SWARUP S, LEWIS B, MORTVEIT H, BARRETT C, PANDEY A, WELLS C, GALVANIl A, SINGER B
ABS
A Network Synthesis and Analytics Pipeline with Applications to Sustainable Energy in Smart Grid. In2023 IEEE 19th International Conference on e-Science (e-Science) 2023 Oct 9 (pp. 1-10). IEEE THORVE S, KISHORE A, MACHI D, RAVI S, MARATHE M
ABS
PAC learnability of node functions in networked dynamical systems. Proceedings of the 36th International Conference on Machine Learning, 2019, 82-91. ADIGA A, KUHLMAN C, MARATHE M, RAVI SS, VULLIKANTI A
ABS
DEFSI: Deep learning based epidemic forecasting with synthetic information. Proceedings of the 30th Innovative Applications of Artificial Intelligence (IAAI), 2019. WANG L, CHEN J, MARATHE M
ABS
Approximation algorithms for scheduling on multiple machines. Proceedings of 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS), 2005, 254-263. Complete version: Journal of the ACM, 2009, 56(5): 28:1-28:31. VULLIKANTI A, MARATHE M, PARTHASARATHY S, SRINIVASAN A
ABS
Computational epidemiology. Communications of the ACM (CACM), 2013, 56(7): 88-96. MARATHE M, VULLIKANTI A
A comparison of multiple behavior models in a simulation of the aftermath of an improvised nuclear detonation. Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS), 2016, 30(6): 1148-1174. PARIKH N, HAYATNAGARKAR H, BECKMAN R, MARATHE M, SWARUP S
ABS
Overcoming the scalability challenges of epidemic simulations on blue waters. Proceedings of the 28th IEEE International Symposium on Parallel and Distributed Processing Symposium (IPDPS), 2014, 755-764. YEOM J, BHATELE A, BISSET K, BOHM E, GUPTA A, KALE L, MARATHE M, NIKOLOPOULOS D, SCHULZ M, WESOLOWSKI L
ABS
INDEMICS: An Interactive High-Performance Computing Framework for Data Intensive Epidemic Modeling. ACM Transactions on Modeling and Computer Simulation (TOMACS), 2014, 24(1):4:1-4:32. BISSET K, CHEN J, DEODHAR S, FENG X, MA Y, MARATHE M
Algorithmic aspects of capacity in wireless networks. Proceedings of the 2005 ACM SIGMETRICS International Conference on Measurements and Modeling of Computer Systems, 2005, 33(1):133-144. VULLIKANTI A, MARATHE M, PARTHASARATHY S, SRINIVASAN A
The complexity of planar counting problems. SIAM Journal on Computing (SICOMP), 1998, 27(4): 1142-1167. HUNT III H, MARATHE M, RADHAKRISHNAN V, STEARNS R
ABS
Privacy-first health research with federated learning. Nature, Digital Medicine. 2021 Sep 7;4(1):pp. 1-8. SADILEK A, LIU L, NGUYEN D, KAMRUZZAMAN M, RADER B, INGERMAN A, MELLEM S, KAIROUZ P, NSOESIE E, MACFARLANE J, VULLIKANTI A, MARATHE M, EASTHAM P, BROWNSTEIN J, HOWELL M, HERNANDEZ J
ABS
Learning the Behavior of a Dynamical System via a “Twenty Questions” Approach. Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI) ADIGA A, KUHLMAN C, MARATHE M, STEARNS R, RAVI SS, ROSENKRANTZ D
ABS
Learning Coalition-Based Interactions in Networked Social Systems. Proceedings of the Association for the Advancement of Artificial Intelligence Conference (AAAI), 3138-3145. ADIGA A, KUHLMAN C, MARATHE M, RAVI SS, ROSENKRANTZ D, STEARNS R, VULLIKANTI A
ABS
Ensembles of realistic power distribution networks. Proceedings of the National Academy of Sciences (PNAS), 2022 Oct 18;119(42): e2205772119.
MEYUR R, VULLIKANTI A, SWARUP S, MORTVEIT H, CENTENO V, PHADKE A, POOR HV, MARATHE M
ABS

Awards

Distinguished Researcher Award, University of Virginia for excellence in research through significant discoveries and scholarship 2023
Honorary Doctoral Degree conferred by Chalmers University 2023
Distinguished Alumni Award, Indian Institute of Technology, Madras for exemplary accomplishments in academia and his immense contributions to COVID-19 response efforts 2022
Best paper award, SIGKDD 2021, Applied Data Science Category for the paper titled “Supporting COVID-19 policy response with large-scale mobility-based modeling” 2021
Finalist, PI of the team selected as a finalist at the recently concluded (June 2021) Trinity Challenge for better protecting the world against health emergencies, using data-driven research and analytics 2021
Endowed Distinguished Professor of Biocomplexity, University of Virginia 2019
Fellow, Society for Industrial and Applied Mathematics (SIAM) for contributions to high performance computing algorithms and software systems for network science and public health epidemiology 2018
Dean’s Award for Excellence in Research, College of Engineering, Virginia Tech 2018
National Energy Research Scientific Computing Center NERSC Award (joint with A Bhatele, J Yeom, N Jain, C Kuhlman, Y Livnat, K Bisset, L Kale) for innovative use of HPC that led to scalable mapping of epidemic simulations on NERSC machines 2017
Constellation Group’s Supernova Award presented to NDSSL in the category of “Data to Decisions” for work by the group on developing high performance computing solutions to support national disaster management 2016
Fellow, American Association for the Advancement of Science (AAAS) for contributions to high performance computing and network science 2015
Fellow, Association for Computing Machinery (ACM) for contribution to high performance computing algorithms and software environments for simulating and analyzing socio-technical systems 2014
Fellow, Institute of Electrical and Electronics Engineers (IEEE) for contributions to socio-technical network science 2013
Inaugural George Michael Distinguished Scholar, Lawrence Livermore National Laboratory 2011-2012
Award for Research Excellence, Virginia Bioinformatics Institute, Virginia Tech 2010
Distinguished Alumni Award, University at Albany 2004
Technical Achievement Award, Los Alamos National Laboratory 2004
Distinguished Copyright Award for TRANSIMS Software System 2000

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