Network Systems Science and Advanced Computing

Christopher Kuhlman

  • Research Associate Professor
Chris Kuhlman headshot
Bio

Bio

Chris J. Kuhlman is a research associate professor in the Network Systems Science and Advanced Computing division. Kuhlman leads or supports projects in cyberinfrastructures, software systems and (hybrid) simulation tools development, human behavior during disasters, decision making, contagion control and optimization, models of human cooperation, and epidemiology. Kuhlman has more than 60 publications in computer science-related conferences and journals.

  • Discrete dynamical systems, modeling and simulation, distributed and high-performance computing, model building, social and network science, human behavior, and control of dynamics processes.

  • Virginia Tech, Computer Science, Ph.D., 2013
    Virginia Tech, Mathematics, M.S., 2013
    Virginia Commonwealth University, Computer Science, M.S., 2007
    University of Texas—San Antonio, Finance, M.B.A., 1997
    University of Illinois—Urbana, Mechanical Engineering, M.S., 1988
    University of Illinois—Urbana, Engineering Mechanics, B.S., 1987

  • Internship, Lawrence Livermore National Laboratory, Livermore, CA, Fall 2011

Selected Publications
Social and Decision Analytics
Social Network Analysis and Mining (SNAM), 10(1):5.: (2020) Korkmaz G, Kuhlman CJ, Goldstein J, Vega-Redondo F.
Network Systems Science and Advanced Computing
Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), (2018) Korkmaz G, Capra M, Kraig A, Lakkaraju K, Kuhlman C, Vega Redondo F.
Network Systems Science and Advanced Computing
British Medical Journal Open, 8(1):e017353.: (2018) Adiga A, Chu S, Eubank S, Kuhlman CJ, Lewis B, Marathe A, Marathe M, Nordberg EK, Swarup S, Vullikanti A, Wilson ML.
Network Systems Science and Advanced Computing
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 413-420. : (2018) Ren Y, Cedeno-Mieles V, Hu Z, Deng X, Adiga A, Barrett C, Contractor N, Epstein J, Goode B, Korkmaz G, Kuhlman C, Macy M, Marathe M, Ramakrishnan N, Ravi SS, Saraf P, Self N.
Network Systems Science and Advanced Computing
Proceedings of the Conference on Information and Knowledge Management (CIKM)., 377-386.: (2018) Adiga A, Cedeno-Mieles V, Kuhlman C, Marathe M, Ravi SS, Rosenkrantz D, Stearns R.
Network Systems Science and Advanced Computing
Proceedings of the 31st AAAI Conference on Artificial Intelligence, 4630-4637.: (2018) Adiga A, Kuhlman C, Marathe M, Ravi SS, Rosenkrantz D, Stearns R.
Network Systems Science and Advanced Computing
Proceedings of the Winter Simulation Conference (WSC), 1085-1096.: (2017) Kuhlman C, Ren Y, Lewis B, Schlitt J.
Network Systems Science and Advanced Computing
Theoretical Computer Science, (2016) Adiga A, Kuhlman C, Marathe M, Ravi SS, Rosenkrantz D, Stearns R
Network Systems Science and Advanced Computing
Journal Data Mining and Knowledge Discovery (DMKD), 29(2):423-465.: (2015) Kuhlman C, Vullikanti A, Marathe M, Ravi SS.
Network Systems Science and Advanced Computing
Cellular Automata (JCA), 10:161-193.: (2015) Kuhlman C, Mortveit H.
In the News
Network Science

The University of Virginia’s Biocomplexity Institute was recently awarded a five-year $4 million collaborative grant from the U.S. National Science Foundation (NSF) to build a self-sustaining cyberinfrastructure (CINES – pronounced “science”) to serve as an open-source, web-based repository for developing, trading, analyzing, and sharing network science resources.