Prof. Xiangchao Shi | Computational Methods | Best Researcher Award

Prof. Xiangchao Shi | Computational Methods | Best Researcher Award

Southwest Petroleum University  | China

Professor Shi Xiangchao, Assistant Dean at the School of Petroleum and Natural Gas Engineering, Southwest Petroleum University, specializes in drilling acceleration, intelligent drilling systems, and rock mechanics. His pioneering work integrates finite element analysis and rock mechanics to enhance the coupling performance of PDC bits and positive displacement motors (PDMs), improving drilling efficiency and stability in complex formations. He has contributed significantly to deep and ultra-deep shale gas drilling technologies through collaborations with CNPC, Sinopec, and international universities. His research establishes strong theoretical and computational foundations for intelligent, efficient, and safe petroleum drilling operations.

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Featured Publications

Liu, J., Xue, F., Dai, J., Yang, J., Wang, L., Shi, X., Dai, S., Hu, J., & Liu, C. (2025). Waveform features and automatic discrimination of deep and shallow microearthquakes in the Changning shale gas field, Southern Sichuan Basin, China. Journal of Applied Geophysics, 105850.

Dai, J., Liu, J., Yang, J., Xue, F., Wang, L., Shi, X., Dai, S., Hu, J., & Liu, C. (2025). Seismicity associated with hydraulic fracturing in Changning shale gas field, China: Constraints from source mechanisms, stress field and fluid overpressure thresholds. Journal of Rock Mechanics and Geotechnical Engineering.

Wang, Z., Shi, X., Jiao, Y., Chen, S., Wang, R., & Lv, Z. (2025). Integrated selection and design method for PDC bits and positive displacement motor. Petroleum.

Fan, C., Nie, S., Li, H., Pan, Q., Shi, X., Qin, S., Zhang, M., & Yang, Z. (2024). Geological characteristics and major factors controlling the high yield of tight oil in the Da’anzhai member of the western Gongshanmiao in the central Sichuan basin, China. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 10(1), 67.

Wang, Z., Shi, X., Chen, S., Jiao, Y., Wang, R., & Lv, Z. (2024). Enhancement on PDC bit based on Archimedean spiral control method. Petroleum Science Bulletin.

Chia-Cheng Tsai | Advanced Computing | Computational Science Excellence Award

Prof. Dr. Chia-Cheng Tsai | Advanced Computing | Computational Science Excellence Award

Prof. Dr. Chia-Cheng Tsai | Advanced Computing | Taiwan

Professor Chia-Cheng Tsai is a distinguished academic in ocean engineering, currently serving as Chair and Professor of the Bachelor Degree Program in Ocean Engineering and Technology at National Taiwan Ocean University. With dual Ph.D. and B.S. degrees from National Taiwan University, his academic journey has been marked by excellence in both education and research. His expertise spans computational fluid dynamics, marine hydrodynamics, wave mechanics, and meshless numerical methods. Over the years, he has held prestigious positions across Taiwanese institutions and collaborated internationally. Widely published in high-impact journals, Prof. Tsai is also a sought-after editorial board member and guest editor in his field. He has received numerous accolades, including best paper awards, distinguished young investigator recognition, and various research honors, affirming his leadership in marine and environmental engineering research.

Author Profiles

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Education

Professor Chia-Cheng Tsai earned his Bachelor’s degree in Civil Engineering from National Taiwan University (NTU). He continued at NTU to complete his Ph.D. in Hydraulics in the Department of Civil Engineering. His doctoral dissertation, titled “Meshless Numerical Methods and their Engineering Applications,” laid the foundation for his future research in advanced numerical modeling and engineering simulations. His academic background has enabled him to integrate principles from civil engineering, applied mathematics, and computational fluid dynamics into ocean and marine engineering contexts. The strong foundation in mathematics and engineering science gained during his education continues to underpin his innovative research in fluid-structure interaction, hydrodynamics, and wave mechanics.

Professional Experience

Professor Tsai currently holds the position of Chair and Professor in the Ocean Engineering program at National Taiwan Ocean University (NTOU). He also served as Director of the Center of Excellence for Ocean Engineering at NTOU from 2021 to 2024. Prior to that, he worked at National Kaohsiung University of Science and Technology, rising from Assistant to Full Professor from 2008 to 2021. He also chaired the Department of Environmental Engineering at National Kaohsiung Marine University. Earlier, he held appointments at Toko University and was a Postdoctoral Fellow at NTU’s Institute of Hydraulic Engineering. His international recognition includes a tenure-track offer from Montan University in Austria. His multidisciplinary experience reflects a strong commitment to education, research, and leadership in marine and environmental engineering.

Awards and Honors

Professor Tsai has been honored as a Distinguished Professor since 2022 and has earned numerous accolades throughout his career. He was the recipient of the MOST Distinguished Young Investigator Award, multiple NSTC/MOST research awards, and Ministry of Education (MOE) research honors. He received the Best Paper Award from the Journal of Mechanics, and his articles were ranked among the Top 25 Hottest and Most Downloaded in Engineering Analysis with Boundary Elements. He has served as Guest Editor and Editorial Board Member for high-impact SCI journals. He was also recognized as a Visiting Professor at Griffith University and an Adjoint Professor at National Sun Yat-sen University. His consistent academic excellence has been widely acknowledged both nationally and internationally.

Research Focus

Professor Tsai’s research centers on computational fluid dynamics, wave–structure interactions, marine hydrodynamics, and meshless numerical methods. His work often involves the mathematical modeling of water wave phenomena, interaction with porous and flexible structures, and wave energy conversion technologies like oscillating water columns (OWCs). He has developed innovative meshfree simulation techniques to study wave scattering, coastal protection, and seabed-fluid interaction. His research applies to real-world ocean engineering challenges such as oil spill modeling, offshore wind turbine stability, and marine renewable energy extraction. With over 40 SCI-indexed publications in just the last few years, he has significantly contributed to the advancement of analytical and numerical techniques in marine and coastal engineering fields.

Notable Publication

Wave scattering by a coaxial pair of surface-piercing porous cylinder and bottomless thick annular cylinder

  • Authors: Sunanda Saha, Koushik Kanti Barman, S. N. Bora, Chia-Cheng Tsai
    Journal: Physics of Fluids
    Year: 2025

Surface and Interfacial Wave Propagation over an Undulating Bottom in a Stratified Fluid with a Moored Porous-Flexible Barrier

  • Authors: I. M. Prasad, N. M. Prasad, R. M. Prasad, Chia-Cheng Tsai, Tai-Wen Hsu, H. Behera
    Journal: Journal of Engineering Mechanics
    Year: 2025

Wave scattering by an infinite trench in the presence of bottom-mounted inverted Π-shaped or floating Π-shaped structure

  • Authors: Biman Sarkar, Soumen De, Chia-Cheng Tsai, Tai-Wen Hsu
    Journal: Physics of Fluids
    Year: 2025

Flexural–gravity wave interaction with dual inverse Π-type breakwaters

  • Authors: Biman Sarkar, Priya Sharma, Soumen De, Chia-Cheng Tsai, Tai-Wen Hsu
    Journal: Ships and Offshore Structures
    Year: 2025

Gravity wave interaction with compressive VLFS in the presence of thick porous bed

  • Authors: Saniya Suhail, Koushik Kanti Barman, Sunanda Saha, Chia-Cheng Tsai
    Journal: European Journal of Mechanics – B/Fluids
    Year: 2025

Conclusion

Professor Chia-Cheng Tsai is a leading figure in marine and ocean engineering, known for bridging theory and application through pioneering numerical methods. With an outstanding academic, research, and leadership portfolio, he continues to influence global developments in wave mechanics and fluid dynamics. His dedication to innovation and collaboration reinforces Taiwan’s and Asia’s leadership in marine engineering. Through his academic guidance and impactful research, Prof. Tsai is shaping the next generation of engineers and contributing meaningfully to sustainable ocean technology.

Jing Xie | Data Analysis Techniques | Best Researcher Award

Dr. Jing Xie | Data Analysis Techniques | Best Researcher Award

Peking University | China

Dr. Jing Xie is a highly accomplished researcher currently working as a Research Assistant Fellow in the Department of Geophysics at Peking University, Beijing, China. With a Ph.D. in Geological Resources and Geological Engineering from Central South University, his expertise lies at the intersection of engineering and environmental geophysical exploration, focusing on self-potential surveys, electrical resistivity tomography, numerical simulation, inversion, and physical simulation experiments. His academic career has been marked by cutting-edge contributions in geophysics, specifically in the study of self-potential data and deep learning algorithms.

👨‍🎓Profile

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📚 Early Academic Pursuits

Dr. Xie embarked on his academic journey by obtaining a Bachelor’s degree in Exploration Technology and Engineering from Chengdu University of Technology (2013-2017). Driven by his passion for geophysics, he pursued a Doctoral degree at Central South University, specializing in Geological Resources and Geological Engineering. This solid educational foundation laid the groundwork for his innovative research in the fields of geophysical exploration and data inversion techniques.

💼 Professional Endeavors

After completing his doctoral studies, Dr. Xie became a Research Assistant Fellow at Peking University in 2023, where he continues to contribute to the field of geophysics. His professional trajectory also includes an enriching experience as a Visiting Student at Boise State University (2019-2021), where he engaged in collaborative research, expanding his knowledge and network in the global geophysical community.

🔬 Contributions and Research Focus

Dr. Xie’s research primarily revolves around self-potential surveys, electrical resistivity tomography, and numerical modeling, with a particular emphasis on inversion techniques and deep learning algorithms. Notably, he has worked on real-time monitoring of phenomena such as metal anodizing corrosion, underground fluid migration, and seepage detection in earth-filled dams. His work contributes to environmental monitoring, engineering geophysics, and natural resource exploration, offering practical solutions to complex challenges.

Dr. Xie’s deep learning algorithm for locating contaminant plumes from self-potential data is one of his significant contributions, showcasing his innovative approach to addressing real-world issues in geophysical exploration.

🌍 Impact and Influence

Dr. Xie’s work has already begun to leave a significant mark on the field of geophysics. His contributions to self-potential measurements, deep learning applications, and real-time monitoring systems have had a lasting impact on environmental and engineering geophysical exploration. His research is actively shaping future practices in mineral exploration, seepage detection, and soil petrophysical property estimation, providing innovative solutions to longstanding challenges in geophysics and engineering.

📈 Academic Cites

Dr. Xie’s work is widely recognized in the geophysics community, with over 20 publications in leading scientific journals such as IEEE Transactions on Geoscience and Remote Sensing, Geophysical Prospecting, and Chinese Journal of Geophysics. His influential publications include works on 3D resistivity modeling, time-lapse inversion techniques, and geobattery systems, among many others. This high citation count reflects the relevance and importance of his research contributions.

🛠️ Research Skills

Dr. Xie possesses a comprehensive skill set, excelling in numerical modeling, data inversion, and simulation experiments. His expertise in self-potential measurements, electrical resistivity tomography, and deep learning techniques has enabled him to develop novel algorithms for data analysis, advancing the state of the art in geophysical exploration. Additionally, he is proficient in 3D modeling, finite-infinite element coupling, and particle filtering, techniques that he applies in both laboratory and field settings.

🎓 Teaching Experience

Though Dr. Xie is primarily focused on research, he also has valuable teaching experience. As a research assistant fellow, he contributes to graduate-level courses in geophysics and geotechnical engineering, helping to shape the next generation of geophysical researchers. His academic expertise also allows him to mentor graduate students and young researchers, guiding them in their own research pursuits.

🌟 Legacy and Future Contributions

Dr. Xie’s future contributions to the field of geophysics are poised to further advance engineering geophysical exploration and environmental monitoring. His ongoing work on self-potential inversion techniques and numerical modeling will likely drive new innovations in natural resource exploration, seepage detection, and environmental risk management. With a strong foundation in both theoretical research and practical applications, Dr. Xie is well-positioned to leave a lasting legacy in the geophysical sciences.

Publications Top Notes

Time-lapse inversion of self-potential data through particle filtering

  • Authors: Cui, Y.-A., Peng, Y., Xie, J.
    Journal: Geophysical Prospecting
    Year: 2025

Three-dimensional analytical solution of self-potential from regularly polarized bodies in a layered seafloor model

  • Authors: Zhang, P., Cui, Y.-A., Xie, J., Liu, J.
    Journal: Geoscientific Model Development
    Year: 2024

Lab-based experiment on real-time monitoring of underground fluid migration by self-potential measurement

  • Authors: Xie, J., Cui, Y., Guo, Y.
    Journal: Acta Geophysica Sinica
    Year: 2024

Compact source inversion of self-potential data generated by geomicrobes

  • Authors: Luo, Y., Cui, Y.-A., Guo, Y., Xie, J., Liu, J.
    Journal: Journal of Applied Geophysics
    Year: 2024

Time-lapse self-potential signals from microbial processes: A laboratory perspective

  • Authors: Guo, Y., Cui, Y.-A., Zhang, C., Cao, C., Liu, J.
    Journal: Journal of Applied Geophysics
    Year: 2024