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
Learning the Behavior of a Dynamical System Via a "20 Questions" Approach
What do hip-hop and hurricane evacuations have to do with network science? High school students learned the answers to that and more in an inaugural series of network science lectures, given by University of Virginia Biocomplexity Institute researchers Chris Kuhlman, Dustin Machi and S.S. Ravi at the annual Achievable Dream Summer Program.
National Science Foundation Awards Biocomplexity Institute $4 Million Collaborative Grant for Network Science Cyberinfrastructure (CINES)
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.