John Baugh

Professor and Director, NC Japan Center

John Baugh is a Professor of Civil Engineering and Operations Research at North Carolina State University. He received the Ph.D. from Carnegie Mellon University in 1989.

In addition to carrying out research and instructional programs, Dr. Baugh works broadly within the university to improve the educational opportunities and outcomes of its students. Included among those efforts is leadership in creating a new graduate program in the areas of computing and systems engineering, and serving as director of the NC Japan Center.

Before pursuing the Ph.D., he worked as a Research Engineer in Applied Mechanics and Structures at Battelle’s Pacific Northwest National Laboratory. He is a member of ACM, INFORMS, Phi Kappa Phi, Tau Beta Pi, and Chi Epsilon.


Ph. D. 1989

Civil Engineering

Carnegie Mellon University

M.S. 1984

Civil Engineering

Carnegie Mellon University

B.C.E. 1983

Civil Engineering

Auburn University

Research Description

Dr. Baugh's research interests include systems engineering and computing applications in engineering; concurrent and distributed algorithms and systems; formal methods for specifying and verifying software systems; mathematical modeling, optimization, and support for engineering design. Current and past funding sources include the US Department of Energy, National Science Foundation, Department of Homeland Security, Federal Transit Administration, US Environmental Protection Agency, and North Carolina Supercomputing Center.


Adaptive subdomain modeling: A multi-analysis technique for ocean circulation models
Altuntas, A., & Baugh, J. (2017), Ocean Modelling (Oxford, England), 115, 86-104.
Modeling a discrete wet-dry algorithm for hurricane storm surge in alloy
Baugh, J., & Altuntas, A. (2016), In Abstract state machines, alloy, b, tla, vdm, and z (abz 2016). (Lecture Notes in Computer Science, 9675) (pp. 256-261).
A general characterization of the Hardy Cross method as sequential and multiprocess algorithms
Baugh, J., & Liu, S. (2016), Structures, 6, 170-181.
SMT: An interface for localized storm surge modeling
Dyer, T., Baugh, J. (2016), Advances in Engineering Software, 92, 27-39.
An exact reanalysis technique for storm surge and tides in a geographic region of interest
Baugh, J., Altuntas, A., Dyer, T., Simon, J. (2015), Coastal Engineering, 97, 60-77.
A novel optimization approach for minimum cost design of trusses
Kripakaran, P., Gupta, A., & Baugh, J. W. (2007), Computers and Structures, 85(23-24), 1782-1794.
Closure to "Optimal design of redundant water distribution networks using a cluster of workstations" by Sujay V. Kumar, Troy A. Doby, John W. Baugh Jr., E. Downey Brill, and S. Ranji Ranjithan
Kumar, S. V., Doby, T. A., Baugh, J. W., Brill, E. D., & Ranjithan, S. R. (2007), Journal of Water Resources Planning and Management, 133(6), 580-581.
Optimal design of redundant water distribution networks using a cluster of workstations
Kumar, S. V., Doby, T. A., Baugh, J. W., Brill, E. D., & Ranjithan, S. R. (2006), Journal of Water Resources Planning and Management, 132(5), 374-384.
Genetic algorithm-based decision support for optimizing seismic response of piping systems
Gupta, A., Kripakaran, P., Mahinthakumar, G. K., & Baugh, J. W. (2005), Journal of Structural Engineering (New York, N.Y.), 131(3), 389-398.
Asynchronous genetic algorithms for heterogenous networks using course-grained dataflow
Baugh, J. W., & Kumar, S. V. (2003), In E. Cantu-Paz (Ed.), Genetic and evolutionary computation--GECCO 2003: Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003: Proceedings. (Lecture Notes in Computer Science, 2723) (pp. 730-741). Berlin; New York: Springer.

View all publications via NC State Libraries


Development and Application of a Data-Driven Methodology for Validation of Risk Informed Safety Margin Characterization Models
US Dept. of Energy (DOE)(10/01/16 - 9/30/19)
Engineering for Resilient Civil Infrastructure Systems: A Graduate Research Fellowship Program
US Dept. of Homeland Security (DHS)(9/30/09 - 9/30/13)
Engineering the Civil Infrastructure For Enhanced Resiliance of the Built and Natural Environments
US Dept. of Homeland Security (DHS)(7/01/08 - 6/30/15)
Modeling and Optimization of Civil Engineering Infrastructure
Blue Ridge Analytics, Inc.(12/01/04 - 4/30/06)