Dr. Yunhe Liu | Geophysics| Best Researcher Award
Professor at Jilin University, China
Yunhe Liu, Ph.D., is a renowned Geophysicist currently serving as a professor and Ph.D. supervisor at Jilin University’s College of GeoExploration Science and Technology. His academic journey began with a B.Sc. in Applied Geophysics (2005), followed by an M.Sc. and Ph.D. in Exploration Geophysics (2011). He has held various academic roles, including visiting scholar positions at the University of Queensland and Memorial University of Newfoundland. His research focuses on electromagnetic methods, 3D inversion modeling, and geophysical exploration technologies.
Publication Profile
Education🎓
Ph.D. in Exploration Geophysics, Jilin University, 2011. M.Sc. in Exploration Geophysics, Jilin University, 2008. B.Sc. in Applied Geophysics, Jilin University, 2005
Experience💼
Yunhe Liu has extensive academic experience, currently a professor at Jilin University since 2020. He also serves as a visiting scholar at the University of Queensland, Australia. Previously, Liu worked as an associate professor, lecturer, and postdoctoral fellow at Jilin University. His roles have consistently emphasized geophysical research and education, and he has supervised multiple doctoral students since 2019. Liu’s work has significantly impacted the advancement of geophysical technologies and exploration methodologies.
Awards and Honors🏆
2023 Reviewer of the Year (Geophysics). 2020 China Geophysical Society Science and Technology Progress Award (Second Prize). 2018 SEG “Bright Spot Paper” Award. 2018 Chen Zongqi Outstanding Geophysics Paper Prize. 7th Liu Guangding Youth Geophysics Science and Technology Award
Research Focus🔬
Liu’s research primarily centers on geophysical exploration technologies, with an emphasis on 3D inversion modeling, electromagnetic methods, and the integration of advanced algorithms. His ongoing projects include developing probabilistic 3D anisotropic magnetotelluric inversion and working on space-based electromagnetic detection algorithms. He is also involved in several significant national programs related to marine exploration and geophysical data analysis. His work aims to enhance the precision and efficiency of geophysical exploration.
Conclusion
Dr. Yunhe Liu exemplifies the qualities of an outstanding researcher with deep academic expertise and a strong track record of leadership in high-impact projects. His ability to lead large-scale research initiatives, coupled with his global collaborations, makes him a prime candidate for the Best Researcher Award. Continued expansion into multidisciplinary research and broader engagement could further elevate his academic profile, making his contributions even more impactful.
Publications:
- Weighted goal-oriented adaptive finite-element for 3D transient EM modeling
- Year: 2019
- Authors: Y. Qi, X. Li, C. Yin, Z. Qi, J. Zhou, Y. Liu, B. Zhang
- Three-dimensional controlled source electromagnetic inversion using non-linear conjugate gradients
- Year: 2012
- Authors: W. Ai-Hua, L. Yun-He, J. Ding-Yu, L. Xiang-Dong, Y. Chang-Chun
- 三维可控源电磁法非线性共轭梯度反演研究 [Doctoral Thesis]
- Year: 2011
- Authors: 刘云鹤
- A fast 3-D inversion for airborne EM data using pre-conditioned stochastic gradient descent
- Year: 2023
- Authors: X. Ren, M. Lai, L. Wang, C. Yin, Y. Liu, Y. Su, B. Zhang, F. Ben, W. Huang
- Controlled-source electromagnetic modeling using a versatile secondary electric-field formulation and efficient multigrid-based preconditioner
- Year: 2023
- Authors: C. Qiu, Y. Liu, X. Ren, H. Chen, T. Yan
- 3-D forward modeling of transient EM field in rough media using implicit time-domain finite-element method
- Year: 2022
- Authors: Y. Liu, L. Wang, C. Yin, X. Ren, B. Zhang, Y. Su, Z. Rong, X. Ma
- GEM3D: a 3D inversion code for geophysical electromagnetic data based on unstructured tetrahedron grid
- Year: 2019
- Authors: Y. Liu, J. Zhang, C. Yin, C. Qiu, B. Zhang, X. Ren, Q. Wang
- 3D MT inversion based on model space compression
- Year: 2019
- Authors: Q. Wang, Y.H. Liu, C.C. Yin, J.F. Li, J. Zhang
- 3D Inversion of Semi-Airborne Transient Electromagnetic Data Based on Decoupled Mesh
- Year: 2024
- Authors: Z. Hui, X. Wang, C. Yin, Y. Liu
- 3D inversion of time-domain airborne EM data for IP parameters
- Year: 2023
- Authors: M. KaiFeng, Y. ChangChun, L. YunHe, S. SiYuan, X. Bin