Dr. Jiaze (Jason) He

  • Assistant Professor

Contact Information

  • Office: 239 Hardaway
  • Phone: (205) 348-2807

Areas of Research

  • Computational ultrasonic imaging
  • Full waveform inversion
  • Nondestructive evaluation
  • Structural health monitoring
  • Machine learning

Education

  • Ph.D., Mechanical Engineering, North Carolina State University, 2015
  • M.S., Mechanical Engineering, North Carolina State University, 2013
  • B.S., Theoretical and Applied Mechanics, Jilin University, 2011

Biography

Dr. Jiaze He’s research interests include computational ultrasonic imaging, full waveform inversion, nondestructive evaluation, structural health monitoring, machine learning, and smart structures. His lab, the Lab for Computational Imaging and Smart Structures, or CISS, develops and implements cutting-edge ultrasonic imaging methods for structures. Because of recent advancements in high-performance computing and quantitative imaging methods, his group will take the opportunity to push the limits on structural and material applications, such as nondestructive evaluation and structural health monitoring.

Before his arrival at UA, he was a postdoctoral research associate in the Theoretical & Computational Seismology Group at Princeton University and a research scholar at NASA Langley Research Center, during which he also served as an adjunct assistant professor in mechanical and aerospace engineering at North Carolina State University from 2016 to 2018.

Publications and Patents:

  • Multi-mode reverse time migration damage imaging using ultrasonic guided waves. Jiaze He, Cara AC Leckey, Patrick E Leser, William P Leser, Ultrasonics 94 pp. 319–331, 2019
  • Least-squares reverse time migration (LSRTM) for damage imaging using Lamb waves. Jiaze He, Daniel C Rocha, Patrick E Leser, Paul Sava, William P Leser, Smart Materials and Structures 28(6) p. 065010, 2019
  • IWSHM 2017: Damage-scattered wave extraction in an integral stiffened isotropic plate: a baseline-subtraction-free approach. Jiaze He, Patrick E Leser, William P Leser, Fuh-Gwo Yuan, Structural Health Monitoring 17(6) pp. 1365–1376, 2018
  • A quantitative damage imaging technique based on enhanced CCRTM for composite plates using 2D scan. Jiaze He, Fuh-Gwo Yuan, Smart Materials and Structures 25(10) p. 105022, 2016
  • Lamb wave-based subwavelength damage imaging using the DORT-MUSIC technique in metallic plates. Jiaze He, Fuh-Gwo Yuan, Structural Health Monitoring 15(1) pp. 65–80, 2016

Honors and Awards:

  • Second Place, Keller Center Innovation Forum, “Advanced quantitative medical imaging,” with Greg Davies, Etienne Bachmann, Darren Hammell, and Jeroen Tromp. Princeton, New Jersey, USA, 2019
  • Winner, The SHM Best Paper Award at 11th IWSHM, sponsored by The Boeing Company. Stanford, California, 2017