Terril Hurst worked in data storage and physics at Hewlett-Packard Laboratories for 27 years before going to Raytheon in 2005. He also has six years of experience teaching as an adjunct professor with the University of Arizona’s College of Optical Data Science.

Education History

  • PhD in Engineering Applied Mechanics and Mathematical Programming, Brigham Young University

Work Experience

Engineering Fellow, Raytheon


Hurst, T.N., B.D. Collins, “Simulation Validation Alternatives When Flight Test Data Are Severely Limited,” Proceedings, AIAA Conference on Modeling & Simulation Technologies, 2008.

Collins, B.D., T.N. Hurst, and J. M Ard, “Designed Simulation Experiments, Part 1: Roots, Myths, and Limitations of Conventional DOE,” AIAA Conference on Modeling & Simulation Technologies, 2011.

Hurst, T.N., C.S. Joseph, C.F. Pouchet, and B.D. Collins, “Designed Simulation Experiments, Part 2: DOE for the Digital Age,” AIAA Conference on Modeling & Simulation Technologies, 2011.

Hurst, T.N., J.J. Ballantyne, A.T. Mense, “Building Requirements-Flow Models using Bayesian Networks and Designed Simulation Experiments,” Proceedings, Joint Statistical Meetings (CASD2014, Washington, D.C.), 2014.

Hurst, T.N. et al, “The DASE Axioms: Designing Simulation Experiments for Verifying Performance of Software-Intensive Systems,” Proceedings, Conference on Applied Statistics in Defense (Washington, D.C.), 2016.

Turner, P.L., T.N. Hurst, and A.S. Bruner, “Building Credibility of Models and Simulations through Iterative Verification and Validation,” Proceedings, AIAA SciTech Forum (Orlando, FL), 2018.

Jones, J.S., A.I Scherling, T.M. Allen, T.N. Hurst, “Maximizing Effectiveness of a High-Performance Computing Grid by Using the DASE Protocol,” Proceedings, AIAA SciTech Conference on Modeling and Simulation Technologies (San Diego, CA), 2019.

Honors and Awards

  • Raytheon Excellence in Engineering and Technology (2019)

Professional Organizations