|
Personal Information
More >>Professor Supervisor of Doctorate Candidates
Academic Titles:Professor
Honors and Titles:Distinguished Student of China U. of Petroleum (Beijing); Excellent Ph.D. Thesis of CUPB; Education Scholarship of SEG (2009-2011)
Personal Profile
Dr. Hua Wang received his B.S. in Exploration Geophysics from the China University of Petroleum (East China) in 2005 and his Ph.D. in the same field from the China University of Petroleum (Beijing) in 2012.
He currently serves as an Vice Dean of the School of Resources and Environment, a Full Professor, and the leader of the Borehole Geophysics team at the University of Electronic Science and Technology of China (UESTC). He is also recognized as both a National Level Young Talent and a Sichuan Province Distinguished Talent.
Prior to joining UESTC, Dr. Wang was a Postdoctoral Associate in the Department of Earth, Atmospheric, and Planetary Sciences at the Massachusetts Institute of Technology (2014–2018). His research is primarily dedicated to borehole geophysics, geophysical tool design and development, and the application of artificial intelligence in geophysics. He has published more than 50 papers as first or corresponding author in prominent peer-reviewed journals and co-authored the book Borehole Acoustic Logging: Theory and Methods with Nafi Toksöz and Michael Fehler.
Dr. Wang serves as the Editor-in-Chief of Artificial Intelligence in Geosciences and as President of the SPWLA Southwest China Chapter. Under his leadership, the chapter was honored with the 2025 SPWLA Best Chapter Award. His other notable honors include the 2020 SPWLA Meritorious Service Award, the 2020 Fu Chengyi Youth Science and Technology Award—the highest distinction for young scholars under 45 from the Chinese Geophysical Society—and the 2022 SPE Regional Technical Award for Formation Evaluation in the Northern Asia Pacific Region.
Research FocusMore>>
- Machine learning and artificial intelligence, signal and information intelligent processing
- Quantitative characterization of rock micro-pore structure
- Induced (micro) seismicity, including data collection, event selection, location and focal mechanism research
