John Baugh

Professor

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.

Education

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.

Publications

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. https://doi.org/10.1016/j.scico.2017.08.012
Hybrid theorem proving as a lightweight method for verifying numerical software
Altuntas, A., & Baugh, J. (2018), In Proceedings of the Second International Workshop on Software Correctness for HPC Applications, Correctness’18 (pp. 1–8). inproceedings.
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. https://doi.org/10.1016/j.ecss.2018.09.019
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: 6th International Conference, ABZ 2018 (pp. 392–396). incollection, Cham: Springer.
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), In Proceedings of the First International Workshop on Software Correctness for HPC Applications - Correctness’17. inproceedings.
A general characterization of the Hardy Cross method as sequential and multiprocess algorithms
Baugh, J., & Liu, S. (2016), Structures, 6, 170–181. https://doi.org/10.1016/j.istruc.2016.03.004
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: 5th International Conference, ABZ 2016 (pp. 256–261). inproceedings, Cham.
{SMT}: An interface for localized storm surge modeling
Dyer, T., & Baugh, J. (2016). SMT: An interface for localized storm surge modeling. Advances in Engineering Software, 92, 27–39. https://doi.org/10.1016/j.advengsoft.2015.10.003,
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.

View all publications via NC State Libraries

Grants

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)