معرفی
Hao Hu is an Assistant Professor in the Department of Geosciences at the University of Oklahoma's School of Geosciences (Mewbourne College of Earth and Energy). Previously, he served as a Senior Research Geophysicist at TGS and a Research Assistant Professor at the University of Houston. His office is located in the Sarkeys Energy Center, Room 754.
Dr. Hu earned his Ph.D. in Geophysics from the Institute of Geology and Geophysics at the Chinese Academy of Sciences in Beijing and completed his undergraduate studies in Geophysics at Yunnan University in Kunming, China.
His research focuses on using seismic signals and methods to address critical challenges in energy exploration and subsurface understanding. Specifically, he investigates how to balance climate change and energy consumption through exploration of geothermal/fossil resources and CO2 geological storage, solve scientific problems in understanding subsurface structures from shallow to deep, and conduct fundamental studies of seismic theory and algorithms. His work spans exploration of unconventional/conventional resources, understanding subsurface structures using seismic signals, and fundamental theory studies of seismic wave propagation, imaging, and inversion.
Dr. Hu's recent publications demonstrate strong activity in seismic fracture characterization, imaging techniques, surface wave analysis, and machine learning applications in geophysics. His work shows a clear progression toward more sophisticated computational methods and interdisciplinary approaches combining traditional geophysics with modern machine learning techniques.
- Postdoctoral travel award (2019)
- Excellent Graduate student award (2014)
- Excellent paper award (2013)
Dr. Hu has secured significant research funding from NSF, DOE, and industry partners including TGS and Aramco. His current projects include elastic full waveform inversion and imaging with TGS, and previously he was involved in research on heterogeneity signatures of mantle phase changes, seismic elastic double-beam characterization of faults/fractures for CO2 storage, and detecting fracture zones using convolutional neural networks. He has served as a reviewer and guest editor for over 80 manuscripts in professional journals including Geophysics, Geophysical Prospecting, and IEEE TGRS.
