Prof. Kun Xiao | Data Analysis Techniques | Best Researcher Award

Professor Xiao Kun’s core research centers on geophysical theory and method development, with a strong emphasis on the exploration of unconventional energy resources such as gas hydrates, coalbed methane (CBM), and shale gas. He specializes in applying machine learning techniques to geophysical logging and lithology identification, as well as conducting petrophysical property analysis and numerical simulations of complex reservoirs. He has successfully led over 20 major research projects funded by esteemed institutions including national key programs and provincial science foundations.

Professor Xiao Kun is a recognized thought leader in China’s geophysical research community, actively contributing as a communication review expert for prestigious institutions such as the Changjiang Scholars Program and the National Natural Science Foundation of China (NSFC). He also supports several provincial science and technology panels, reinforcing his role in shaping research directions. His expertise has had a significant impact on energy exploration policies, geophysical education, and the development of research strategies across various regions in China.

Professor Xiao Kun possesses exceptional technical expertise in numerical modeling, reservoir simulation, and well-logging analysis, with a strong command of machine learning algorithms such as ensemble learning and extreme learning machines. His proficiency in multiphysics data integration and high-performance scientific computing empowers him to tackle complex subsurface challenges. These advanced skills allow him to develop innovative solutions in geophysical exploration, significantly contributing to energy sustainability research and the evolution of data-driven geoscience methodologies.

Professor Xiao Kun has received numerous prestigious accolades that highlight his national recognition and academic leadership. He was honored as a “Young Scientific and Technological Talent” by the Ministry of Natural Resources in 2023 and named a finalist for the “National Good Youth with Positive Energy” in 2022. As a Leading Academic Leader in Jiangxi Province, he also serves on editorial boards of top journals and is an active member of key scientific committees, demonstrating his broad influence in geophysical research and governance.

Professor Xiao Kun is poised to shape the next generation of geophysical research in China and beyond. His pioneering integration of AI-driven methodologies with traditional geophysical exploration techniques signifies a transformative advancement in the field. Looking ahead, his research is expected to play a vital role in areas such as green energy resource evaluation, AI-geoscience fusion, and data-driven decision-making in complex subsurface environments. With a strong foundation in both applied research and academic mentorship, Professor Xiao is committed to driving innovation, strengthening international research collaboration, and advancing the frontiers of scientific excellence in geophysics.