Yunhe Liu | Geophysics| Best Researcher Award

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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

Scopus

Scholar

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:

  1. 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

 

  1. 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

 

  1. 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

 

  1. 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

 

  1. 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

 

  1. 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

 

  1. 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

 

  1. 3D MT inversion based on model space compression
    • Year: 2019
    • Authors: Q. Wang, Y.H. Liu, C.C. Yin, J.F. Li, J. Zhang

 

  1. 3D Inversion of Semi-Airborne Transient Electromagnetic Data Based on Decoupled Mesh
    • Year: 2024
    • Authors: Z. Hui, X. Wang, C. Yin, Y. Liu

 

  1. 3D inversion of time-domain airborne EM data for IP parameters
    • Year: 2023
    • Authors: M. KaiFeng, Y. ChangChun, L. YunHe, S. SiYuan, X. Bin

 

Vivek Walia | Earthquake Precursory | Best Scholar Award

Posted on by Young Scientists Awards

Dr. Vivek Walia | Earthquake Precursory | Best Scholar Award

 Dr at National Center for Research on Earthquake Engineering, NARL Taiwan

Vivek Walia is a seasoned Research Fellow at the National Center for Research on Earthquake Engineering (NCREE) in Taipei, Taiwan. With over 21 years of dedicated experience in geophysical research, Vivek’s expertise lies in earthquake prediction and the geochemistry of seismic precursors. His significant contributions include monitoring radon and other soil gases for seismic studies across Taiwan and the Indian Himalayas, leading to pioneering earthquake forecasting models. He collaborates internationally, advancing research on tectonic fault activity and geochemical analysis, contributing to academic journals and global conferences. Vivek’s efforts have elevated real-time earthquake monitoring, enhancing global geophysical research.

Profile

scopus

Scholar

Education 🎓

Bachelor’s Degree (1989): B.Sc. from Guru Nanak Dev University, Amritsar, India.  Master’s Degree (1991): M.Sc. in Geophysics from Guru Nanak Dev University, focusing on foundational geophysical methods. Doctorate (2002): Ph.D. in Physics from Guru Nanak Dev University, specializing in the use of radon signals for earthquake prediction in the seismically active N-W Himalaya region, contributing an empirical model relating radon anomalies to seismic magnitudes and distances.

Experience 💼

Research Fellow, NCREE (2011-present): Manages radon monitoring stations across Taiwan for seismic prediction. Associate Research Fellow, NCREE (2005-2010): Analyzed seismic data and established geochemical monitoring in Taiwan. Visiting Specialist, National Taiwan University (2003-2005): Conducted soil-gas surveys and fault identification.  Senior Research Fellow, Guru Nanak Dev University (1997-2003): Developed radon monitoring for seismic studies in India.  Senior Technical Assistant, Guru Nanak Dev University (1992-1997): Assisted in geophysical research and radon data collection.

Awards and Honors 🏆

Senior Research Fellowship: Awarded by the Department of Science & Technology, India.  Thomson Scientific Citation Laureate Award (2006): For outstanding research on radon as an earthquake precursor. Most Cited Article Award (2016-2020): Recognized by the Chinese Geosciences Union for work on seismic radon anomalies. UNESCO IGCP Project Leader (2009-2014): Led the “Radon, health, and natural hazards” project under UNESCO’s International Geological Correlation Programme.

Research Focus 🔬

 Earthquake Prediction: Studying radon and other geochemical precursors in seismic forecasting models. Geochemistry of Thermal Springs: Monitoring volatile elements in hot springs to understand tectonic activity. Environmental Pollution: Researching radioactive material’s effects on environmental health. Neo-Tectonic Faults Analysis: Utilizing soil-gas methods to trace faults in earthquake-prone zones in Taiwan and India.  Seismic Monitoring: Developing real-time databases for enhanced earthquake prediction and hazard assessment.

📜 Conclusion

Dr. Vivek Walia’s dedication and contributions to geochemical earthquake prediction and fault tracing make him an exceptional candidate for the Best Scholar Award. His pioneering work in radon monitoring for earthquake prediction, coupled with his collaborative projects that bridge multiple scientific disciplines and international boundaries, have positioned him as a leading figure in earthquake prediction research. Dr. Walia’s continued advancements in tectonic monitoring and prediction modeling exemplify a scholar whose work directly benefits public safety and scientific understanding in high-risk earthquake zones.

Publications Top Notes

  • Title: Earthquake Precursory Study Using Decomposition Technique: Time Series Soil Radon Monitoring Data from the San-Jie Station in Northern Taiwan
    Authors: Walia, V., Kumar, A., Chowdhury, S., Lee, H.-F., Fu, C.-C.
    Year: 2024

 

  • Title: Radon Time Series Data for Earthquake Precursory Studies in Taiwan: An Overview
    Authors: Walia, V., Kumar, A., Fu, C.-C.
    Year: 2023

 

  • Title: Quantification of the Dependence of the Emanation of Radon from Water on the pH and Temperature of Water
    Authors: Ting, C.-Y., Walia, V., Li, Y.-S., Kumar, A., Lin, C.-C.
    Year: 2022

 

  • Title: Radioactivity Monitoring in the Vicinity of Jawalamukhi Thrust NW Himalaya, India for Tectonic Study
    Authors: Kumar, G., Bhadwal, R., Kumar, M., Mehra, R., Goyal, A.
    Year: 2022

 

  • Title: Radon Monitoring in Artesian Wells at Mato-san Area of South Taiwan for Mud Eruption Studies
    Authors: Kumar, A., Walia, V., Lin, S.-J., Fu, C.-C.
    Year: 2021

 

  • Title: Improved Semi-Automatic Approach to Count the Tracks on LR-115 Film for Monitoring of Radioactive Elements
    Authors: Kumar, A., Walia, V., Mogili, S., Fu, C.-C.
    Year: 2021

 

  • Title: An Automatic System for Continuous Monitoring and Sampling of Groundwater Geochemistry in Earthquake-Prone Regions of SW Taiwan
    Authors: Fu, C.-C., Lai, C.-W., Yang, T.F., Kumar, A., Lee, L.-C.
    Year: 2021

 

  • Title: Decomposition of Continuous Soil–Gas Radon Time Series Data Observed at Dharamshala Region of NW Himalayas, India for Seismic Studies
    Authors: Dhar, S., Randhawa, S.S., Kumar, A., Bharti, H., Kumar, A.
    Year: 2021