Plenary speakers

1991.02	Bachelor’s Degree of Electrical Engineering, Busan National University, Busan, Korea.
1991 ~ 2006	Quality Control, Doosan Enerbility, Changwon, Korea.
2006 ~ 2011	Nuclear Oversea Project Management, Doosan Enerbility, Changwon, Korea.
2011 ~ 2013	Nondestructive testing, Doosan Enerbility, Changwon, Korea.
2013 ~ 2023	Quality Control and Procurement, Doosan Enerbility, Changwon, Korea.
2017 ~ present	Technical Quality Expert Committee of KEPIC, Korea.
2023 ~ present	Senior Vice President, Nuclear Design/Manufacturing, Doosan Enerbility, Changwon, Korea

Dr. Fu-Kuo Chang is a Professor in the Department of Aeronautics and Astronautics at Stanford University. His primary research interest is in the areas of multi-functional materials and intelligent structures with particular emphases on structural health monitoring, self-sensing diagnostics, intelligent sensor networks, and multifunctional energy storage composites for transportation vehicles as well safety-critical assets. He is a recipient of the SHM Lifetime Achievement Award (2004), SPIE NDE Lifetime Achievement Award (2010), and the PHM lifetime Achievement Award (2018). He is the Editor-in-Chief of Int. J. of Structural Health Monitoring. He is also a Fellow of AIAA and ASME.

2019: Retire Sungkyunkwan University (Honorary Professor, SKKU)
2019: Transferred UAUT, Tanzania, Africa
2019~2020: Principal of College of Engineering, UAUT
2021~2022: Deputy Vice Chancellor, UAUT
2023~2024: Acting Vice Chancellor, UAUT
2024~Present: Professor and Director of WTP, UAUT

Dr. He Li is a Marie-Curie Fellow at Liverpool John Moores University, The UK. He received a Ph.D. degree from the University of Electronic Science and Technology of China, China. His research mainly focuses on the failure, risk, reliability, and maintainability of complex systems. Dr. Li has been a leading PI of five projects and a researcher of several more projects funded by, such as, HORIZON and European Regional Development Fund in Europe and FCT in Portugal. Dr. He Li has published two books (with Springer) and 80 items including more than 40 peer-reviewed Journal papers as the first/corresponding author (with 10 highly cited/hot papers) and several more book chapters and conference papers. He is the winner of the world’s prominent design award A’Design (Product Engineering and Technical Design-The only Gold Award in 2023) and serves as publication board chair of Sigma Xplore Press (USA). Dr. He Li has been the associate editor, guest editor, and member of the editorial board of 12 Journals and has been special session chair, organization committee co-chair, and program committee member of several international conferences, in total, more than 20 times.

1996	Ph.D. in Mechanical Engineering, Rensselaer Polytechnic Institute, Troy, New York
1997 ~ present	Professor of Mechanical Engineering, Yonsei University, Seoul, Korea
2020 ~ present	Adjunct Professor of Artificial Intelligence, Yonsei University, Seoul, Korea
2024 ~ present	Adjunct Professor of Digital Integration Engineering, Yonsei University, Seoul, Korea
2021 ~ present	President & Advisor of Korean Society of Prognostics and Health Management (KSPHM), Seoul, Korea
2023 ~ present	Committee of Korean Society of Virtual Product Development (KSVPD), Seoul, Korea

Dr. Ke Feng is a Full Professor at Xi’an Jiaotong University, China. He is a Marie Curie Fellow (Imperial College London & Brunel University London). He received a Ph.D. degree from the University of New South Wales, Australia, in 2021. He worked at the University of British Columbia and the National University of Singapore in 2022 and 2023, respectively. His main research interests include digital twins, reliability analysis, vibration analysis, structural health monitoring, dynamics, tribology, signal processing, and machine learning. He is recognized as the Emerging Leader (2023) by the Measurement Science and Technology journal.

Dr. Ke Feng is the Associate Editor and Guest Editor of several journals, including Information Fusion, Mechanical Systems and Signal Processing, IEEE Transactions on Industrial Cyber-Physical Systems, Journal of Intelligent Manufacturing, Structural Health Monitoring, Engineering Applications of Artificial Intelligence, IEEE Transactions on Instrumentation and Measurement, Neurocomputing, Measurement, IEEE Sensors Journal, IET Collaborative Intelligent Manufacturing, Measurement Science and Technology, Proc Inst Mech Eng B J Eng Manuf, etc..

Prof. Koichi Goda received a Master’s degree in Materials Science and Engineering from the Graduate School of Engineering, Hiroshima University in 1982 (his last educational background). In 1982, he was appointed as a research associate at Hiroshima University, and in 1989, he received a PhD in Engineering from Hiroshima University with the title “Strength and Reliability of Metal Matrix Composites Based on Statistical Properties of Ceramic Fiber Strength”. He was also a visiting scholar at Cornell University, U.S.A., from 1990 to 1991. He moved to Yamaguchi University as an associate professor in 1994, and then was promoted to full professor at Yamaguchi University in 2004. His research interests include green composites reinforced by natural fibers and stochastic processes of materials damage and fracture. He has received the Best Paper Award from JSCM on the green composites and the Best Paper Award from JSMS on the composites’ damage and fracture process, respectively. Recently, he has received the Distinguished Achievement Awards from JSMS Committees on Composite Materials and Reliability Engineering. He retired from Yamaguchi University in 2023. He is currently a professor emeritus at Yamaguchi University, a JSCM honorary member, and a JSME long-term member.

JSCM: The Japan Society for Composite Materials, JSMS: The Society of Materials Science, Japan, JSME: The Japan Society of Mechanical Engineers

Dr. Kunio Hasegawa worked at Hitachi Ltd. over 30 years and joined Japan Nuclear Energy Safety Organization (JNES) for 8 years. After disbandment of the JNES, he continues to work at Japan Atomic Energy Agency (JAEA), as a non-regular staff. He also worked at VSB-Technical University of Ostrava, Czech Republic, as a supervisor of PhD students.
He has been involved in structural integrity for nuclear power components. He has published over 95 journal papers and 250 conference papers.
He was an Associate Editor of Transaction of ASME, Journal of Pressure Vessel Technology for 6 years. He had served a Chair of Codes and Standards Technical Committee of the ASME Pressure Vessel & Piping Division for 4 years.
Hasegawa received his Ph.D. from Tohoku University, and Doctor Honoris Causa from Technical University of Ostrava. He received Certificates of Appreciation and Dedicated Service Awards from ASME PVP Division. He also received several awards from the ASME Nuclear Codes and Standards. He is a Fellow of the ASME since 2013. He is currently a member of several committees of the ASME Boiler and Pressure Vessel Code Section XI.

Dr. Seungchul Lee is an Associate Professor at the Department of Mechanical Engineering at KAIST, Korea. His research focuses on Industrial Artificial Intelligence for Mechanical Systems, Smart Manufacturing, Materials, and Healthcare. He extends his research work to both knowledge-guided AI and AI-driven knowledge discovery at KAIST.

Taek-Soo Kim is a tenured full professor at KAIST, where he has been directing Advanced Packaging and Thin Film Lab (http://aptf.kaist.ac.kr). Prof. Kim has pioneered tensile and adhesion testing of thin film and packaging materials that are crucial to advanced semiconductors and displays. He has authored more than 250 journal publications (13k citations, 53 h-index). He received a BS degree in 2001 from Yonsei University, and MS and PhD degrees in Mechanical Engineering in 2006 and 2010, respectively, both from Stanford University.

Dr. Yiming Zhang is a tenure-track Professor at the School of Mechanical Engineering, Zhejiang University. He specializes in decision-making algorithms under uncertainty, focusing on aero-engine risk management and the intersection of reliability engineering and artificial intelligence. Dr. Zhang earned his PhD from the University of Florida in 2018 and a BS from Shanghai Jiao Tong University in 2012. Before joining Zhejiang University in 2021, Dr. Zhang was a Lead Engineer at GE Research Center, where he developed industrial AI algorithms for designing and managing large-scale aero-engine fleets. He has led more than 10 major research projects, including China’s National Key R&D Program and NSF-funded project, and collaborated with civil aviation industries on reliability and maintenance optimization. Dr. Zhang has published over 50 peer-reviewed papers in journals and conferences such as Aerospace Science and Technology, AIAA Journal, Engineering Structures, Applied Mathematical Modelling and Expert Systems with Applications. He is an active member of the AIAA Non-Deterministic Approach Committee.