Christopher Kuhlman

Chris Kuhlman Headshot
Research Associate Professor, Network Systems Science and Advanced Computing


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.


Google Scholar

  • Disparities in Spread and Control of Influenza in Slums of Delhi: Findings from an Agent-Based Modeling Study
    BMJ Open, (2018) Adiga A, Chu S, Eubank S, Kuhlman C, Lewis B, Marathe A, Nordberg E, Swarup S, Vullikanti A, Wilson M

  • Inferring Local Transition Functions of Discrete Dynamical Systems from Observations of System Behavior
    Theoretical Computer Science (TCS), 679:126-144. (2017) Adiga A, Kuhlman C, Marathe M, Ravi SS, Rosenkrantz D, Stearns R

  • Limit Sets of Generalized, Multi-Threshold Networks
    Cellular Automata (JCA), 10:161-193. (2015) Kuhlman C, Mortveit H

  • Inhibiting Diffusion of Complex Contagions in Social Networks: Theoretical and Experimental Results
    Journal Data Mining and Knowledge Discovery (DMKD), 29(2):423-465. (2015) Kuhlman C, Vullikanti A, Marathe M, Ravi SS

  • Inferring Probabilistic Contagion Models Over Networks Using Active Queries
    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

  • Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis
    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

  • Coordination and Common Knowledge on Communication Networks
    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

  • Learning the Behavior of a Dynamical System via a ‘20 Questions’ Approach
    Proceedings of the 31st AAAI Conference on Artificial Intelligence, 4630-4637. (2018) Adiga A, Kuhlman C, Marathe M, Ravi SS, Rosenkrantz D, Stearns R

  • Hybrid Agent-Based Modeling of Zika in the United States
    Proceedings of the Winter Simulation Conference (WSC), 1085-1096. (2017) Kuhlman C, Ren Y, Lewis B, Schlitt J


Virginia Tech, Computer Science, PhD, 2013
Virginia Tech, Mathematics, MS, 2013
Virginia Commonwealth University, Computer Science, MS, 2007
University of Texas—San Antonio, Finance, MBA, 1997
University of Illinois—Urbana, Mechanical Engineering, MS, 1988
University of Illinois—Urbana, Engineering Mechanics, BS, 1987


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