John Baugh


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 previously 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 scientific computing and cyber-physical systems, formal methods for safe and trustworthy software, verification and validation, mathematical optimization and control, and applications across civil engineering including coastal, ocean, transportation, and structural systems. 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.


A simple Hybrid Event-B model of an active control system for earthquake protection
Banach, R., & Baugh, J. (2020), In A. Adamatzky & V. Kendon (Eds.), From Astrophysics to Unconventional Computation (Vol. 35, pp. 157–194).
Bounded Verification of Sparse Matrix Computations
Dyer, T., Altuntas, A., & Baugh, J. (2019), 2019 IEEE/ACM 3rd International Workshop on Software Correctness for HPC Applications (Correctness), 36–43.
Formal methods and finite element analysis of hurricane storm surge: A case study in software verification
Baugh, J., & Altuntas, A. (2018), Science of Computer Programming, 158, 100–121.
Hybrid theorem proving as a lightweight method for verifying numerical software
Numerical study on factors influencing typhoon-induced storm surge distribution in Zhanjiang Harbor
Liu, X., Jiang, W., Yang, B., & Baugh, J. (2018), Estuarine, Coastal and Shelf Science, 215, 39–51.
State-based formal methods in scientific computation
Baugh, J., & Dyer, T. (2018), In M. Butler, A. Raschke, T. S. Hoang, & K. Reichl (Eds.), Abstract State Machines, Alloy, B, TLA, VDM, and Z (pp. 392–396).
Adaptive subdomain modeling: A multi-analysis technique for ocean circulation models
Altuntas, A., & Baugh, J. (2017), Ocean Modelling, 115, 86–104.
Verifying Concurrency in an Adaptive Ocean Circulation Model
Altuntas, A., & Baugh, J. (2017), Proceedings of the First International Workshop on Software Correctness for HPC Applications - Correctness'17.
A general characterization of the Hardy Cross method as sequential and multiprocess algorithms
Baugh, J., & Liu, S. (2016), Structures, 6, 170–181.
Modeling a discrete wet-dry algorithm for hurricane storm surge in Alloy
Baugh, J., & Altuntas, A. (2016), In M. Butler, K.-D. Schewe, A. Mashkoor, & M. Biro (Eds.), Abstract State Machines, Alloy, B, TLA, VDM, and Z (Vol. 9675, pp. 256–261).

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 - 9/30/20)
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)