Liu Jiu is a professor and master's supervisor in the Department of Law at the School of Humanities and Social Sciences, Harbin Engineering University. He holds a PhD in International Law from China University of Political Science and Law and a joint PhD from the University of California, Davis. His research interests include nuclear energy law and international law. Since July 2016, he has been employed at Harbin Engineering University, serving as a lecturer, associate professor, and later promoted to professor (with promotion synchronized with the completion of his project). He has led the National Social Science Fund Youth Project "Research on the Legislation of China's Nuclear Damage Compensation System" (2018-2023) and other projects such as the Heilongjiang Provincial Philosophy and Social Science Research Planning Project. In 2014, he went to study at the University of California, Davis (September 2014 - September 2015), and in 2019, he participated in the International Atomic Energy Agency (IAEA) Regional Directors Meeting for Africa (Marrakesh, Morocco). He has published a monograph titled "Research on the Deposit Insurance System: Taking the American Experience and International Guidelines as a Starting Point" and an article titled "On the Construction of China's Nuclear Damage Liability System in the Context of the Atomic Energy Law" in "Shanghai Law Research". In 2021, he participated in the International Nuclear Law Training organized by the OECD Nuclear Energy Agency, and in June 2025, he represented the university to participate in the IAEA Nuclear Law Seminar and conducted research at Hainan Nuclear Power. He also serves as a council member of the International Economic Law Research Association of the Beijing Law Society (since 2016) and a member of the Harbin Municipal Committee of the Chinese People's Political Consultative Conference (2022 session).

Ts. Dr Aslina Baharum is an Associate Professor and UX Researcher at the School of Engineering and Technology, Sunway University. Previously, she was a Senior Lecturer at Universiti Teknologi MARA (UiTM), and Universiti Malaysia Sabah (UMS). She also has industry experiences where she worked as an IT Officer for the Forest Research Institute of Malaysia (FRIM). She had experienced more than 20 years in the IT field. She received a PhD in Visual Informatics (UKM), a Master Science degree in IT (UiTM) and graduated Bachelor of Science (Hons.) in E-Commerce from UMS. She is a member of the Young Scientists Network - Academy of Science Malaysia, Senior Member IEEE, and certified Professional Technologist from MBOT, and served as MBOT/MQA auditor. She won several medals in research and innovation showcases and was awarded several publication awards, teaching awards, Excellence Service award, and UMS Researchers Awards. She has co-authored and editor books, published several books of chapters (>20), technical papers in conferences and peer-reviewed and indexed journals (>60) papers. She also served as editor for several journals, scholarly contributed as a committee, editorial team and reviewers, and given several invited/ plenary talks at conferences. Her research interests include UX/UI, HCI/Interaction Design, Product & Service Design, Software Engineering & Mobile Development, Information Visualization & Analytics, Multimedia, ICT, IS and Entre/Technopreneurship. Her workshops and talks covered Entrepreneurship, Video/Image Editing, E-Commerce/Digital Marketing, AR/VR/MR/XR in STEM, Design Thinking and etc. She is also a Certified Professional Entrepreneurial Educator, Executive Entrepreneurial Leaders and HRDF Professional Trainer.

Yi-Zeng Hsieh (Senior Member, IEEE) received the B.S., M.S., and Ph.D. degrees in computer science and information engineering from National Central University, Taoyuan City, Taiwan, in 2004, 2006, and 2012, respectively. He is currently a Professor with the Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. He has authored or coauthored more than 100 journal and refereed conference papers. His research interests include deep learning, machine learning, neural networks, pattern recognition, image processing, computer vision, and swarm intelligence. He is also a Senior Member of both the IEEE Consumer Technology Society and the IEEE Signal Processing Society. He was a Member of both IET Taipei Local Network and IET Japan Local Network. He was an Associate Editor for multiple IEEE Transactions. In 2023, he was recognized as an Outstanding Young Scholar by the IEEE Consumer Technology Society.