John Burkhardt, Ph.D.

Professor
Mechanical & Nuclear Engineering Department
United States Naval Academy
590 Holloway Road
Annapolis, MD 21402-5042
(410) 293-6507
burkhard@usna.edu

EDUCATION

University of Illinois at Urbana-Champaign, (1995)
Doctor of Philosophy, Theoretical and Applied Mechanics

University of Illinois at Urbana-Champaign, (1991)
Master of Science, Theoretical and Applied Mechanics

The Cooper Union for the Advancement of Science and Art, (1989)
Bachelor of Engineering, Civil Engineering

RESEARCH AREAS

Machine Learning
Stochastic Wave Propagation
Nondestructive Testing
Acoustics
Vibrations
Ultrasonics
Atmospheric Turbulence

PROFESSIONAL EXPERIENCE

• Professor, United States Naval Academy (August 2021 - Present)
• Associate Professor, United States Naval Academy (August 2002 – July 2021)
• Assistant Professor, United States Naval Academy (August 1998 – July 2002)
• Assistant Professor, Purdue University at Fort Wayne (August 1995 – July 1998)

RECENT PUBLICATIONS

• Jellen, C., Nelson, C., Brownell, C., & Burkhardt, J. (2024). Effective benchmarks for optical turbulence modeling. Artificial Intelligence for the Earth Systems, 3(4), e240003.
• Jellen, C., Nelson, C., Brownell, C., & Burkhardt, J. (2024). Long-term measurement and characterization of boundary layer optical turbulence. Journal of the Optical Society of America A, 41(6), B65-B72.
• Jellen, C., Nelson, C., Burkhardt, J., & Brownell, C. (2023). Hybrid optical turbulence models using machine-learning and local measurements. Applied Optics, 62(18), 4880-4890.
• Jellen, C., Oakley, M., Nelson, C., Burkhardt, J., & Brownell, C. (2021). Machine-learning informed macro-meteorological models for the near-maritime environment. Applied Optics, 60(11), 2938-2951.
• Jellen, C., Nelson, C., Brownell, C., Burkhardt, J., & Oakley, M. (2020). Measurement and analysis of atmospheric optical turbulence in a near-maritime environment. IOP SciNotes, 1(2), 024006.
• Jellen, C., Burkhardt, J., Brownell, C., & Nelson, C. (2020). Machine learning informed predictor importance measures of environmental parameters in maritime optical turbulence. Applied Optics, 59(21), 6379-6389.
• Burkhardt, J. (2020). Bayesian parameter inference of explosive yields using Markov chain Monte Carlo techniques. International Journal of Mathematical Science and Computing, 6(2), 1-17.
• Burkhardt, J. (2019). Determination of the conductivity and thickness of conductive layers on conductive base materials. Advances in Mechanical Engineering, 11(7), 1687814019854234.

AWARDS

United States Government Meritorious Service Medal (2006)