Prof. Kahar Bin Osman
Universiti Teknologi Malaysia, Malaysia

Prof. Dr. Kahar is currently a Professor in the Faculty of Mechanical Engineering  at Universiti Teknologi Malaysia and a member of the Computational Fluid Mechanics Research Group, UTM. He is also active in the Institut Jantung Negara (IJN)–UTM Cardiovascular Engineering Center. His research interests include application of Computational Fluid Dynamics (CFD), fluid-structure interaction (FSI) and experimental techniques in the study of mechanical and cardiovascular systems, as well as analysis, design, and optimizations of cardiovascular devices. He has been practicing CFD for more than 30 years. He started his work in flow modelling in the area of mechanical engineering and moved to biomedical engineering field since 10 years ago. He and his team have produced their own code for CFD modelling for bio-fluid. He is also currently working on stent development for different applications. He has published more than 100 articles in peer reviewed journals and proceedings. He has successfully led 15 projects as principal investigator and 26 projects as co-investigator in various fields of mechanical and biomedical engineering. On top of these, was also the Editors for three book chapters on CFD applications and currently working on two books in fluid dynamics. 

Assoc. Prof. Bin Zhang
Kanagawa University, Japan

Dr Bin Zhang received the B.Sc. degree in Automation from Harbin Engineering University, China, and the M.Sc. and Ph.D. degrees in Intelligent Mechanical Engineering from The University of Electro-Communications, Japan. He is currently an Associate Professor (PI, Intelligent Machine Lab) with the Department of Mechanical Engineering, Kanagawa University, Japan. His research interests include intelligent robotics, human-robot interaction, intelligent information processing, autonomous vehicles and artificial intelligence. He has published more than 130 papers on international journals and conferences in recent years including IEEJ, IEICE etc. He has been supervised 6 projects funded by Japanese government and other foundations. He was awarded the best paper awards for ICSR2016, ICDSP2022, EAI 6GN2023 etc.

Assoc. Prof. Shaoke Wan
Xi'an Jiaotong University, China

Shaoke Wan, associate professor at Xi'an Jiaotong University, graduated from Xi'an Jiaotong University in December 2019 with a PhD in Mechanical Engineering. From September 2018 to September 2019, he underwent joint doctoral training at the University of British Columbia (UBC) in Canada. In March 2020, he was selected into Xi'an Jiaotong University's inaugural "Young Excellent Talent Program". His primary research interests include high-speed milling chatter monitoring and active suppression, intelligent machine tool spindle technology, and robotic intelligent navigation. He has led over 10 national key research and development projects, National Natural Science Foundation of China general/youth projects, China Postdoctoral Science Foundation, and Shaanxi Provincial Natural Science Foundation projects. He has published over 40 academic papers in major domestic and international academic journals and international conferences. He has obtained 24 patent grants, 4 software copyrights, and won a special award for outstanding achievements in scientific and technological research in higher education institutions in Shaanxi Province (ranked first) and a first prize in the China Machinery Industry Science and Technology Award (ranked fourth).

Assoc. Prof. Tao Wang
Sun Yat-Sen University, China

Dr. Wang Tao is currently an associate professor and doctoral supervisor at the School of Intelligent Engineering, and Deputy Director of the Project Management Department of the Advanced Technology Research Institute, Sun Yat-Sen University. He is responsible for the Multi Domain Unmanned System Collaborative Cognitive Control Technology Laboratory, Sun Yat-Sen University's Hundred Talents Plan to introduce talents, the first batch of B class talents in the Shenzhen Peacock Special Recruitment Post, and also serves as a part-time unmanned equipment innovation team in the Guangdong Southern Ocean Science and Engineering Laboratory. I obtained Bachelor's, Master's, and Doctoral degrees in Engineering from Northwestern Polytechnical University, Beihang University, and Xi'an Jiaotong University in 2004, 2007, and 2011, respectively. He has served for a long time at the First Research Institute of China Aerospace Science and Technology Group, and have won the Long March Contribution Award twice and multiple Technology Improvement Awards. He has been engaged in research on key technologies for navigation guidance and control, and cognitive intelligence in multiple unmanned systems for a long time. In the past three years, He has led more than 20 scientific research projects, including key funding projects, innovation special zone projects, and major special engineering projects in the field. His related scientific research achievements have been widely applied in 9 important equipment or projects, and He has been granted 14 national invention patents. He has published more than 30 academic journals and conference papers both domestically and internationally, with the highest citation count of a single article exceeding 160 times. He has served as a director of "Unmanned System Technology", a young editorial board member of "Biometric Intelligence and Robotics", a member of the Mixed Intelligence and System Simulation Committees of the Automation Society, a member of the Cluster Intelligence and Collaborative Control Committee of the Accusation Society, a member of the Intelligent Game and Wargame Simulation Committee, and a member of the Big Model and Decision Intelligence Committee.

Assoc. Prof. Junxing Zhang
Guizhou University, China

Junxing Zhang is currently a master supervisor at the Key Laboratory of Advanced Manufacturing Technology of the Ministry of Education, Guizhou University. He is a member of the CAA, a lifelong member of the Intelligent Manufacturing Professional Committee of the Chinese Artificial Intelligence Society, and a peer review expert of international top journals such as IEEE TNNLSs, ISA Transactions, Journal of the Franklin Institute-Engineering and Applied Mathematics, International Journal of Robust and Nonlinear Control, Journal of Vibration and Control.
His research interests include the application of industrial big data and computational intelligence in adaptive control of electromechanical systems, advanced control (adaptive control, optimal control, and active fault-tolerant control) and learning optimization of complex industrial intelligent manufacturing systems, and the development of intelligent complex equipment. In recent years, He has undertaken research on over 10 research projects supported by the National Key R&D Program, the National Natural Science Foundation of China (key, general, and regional projects), the National Intelligent Manufacturing New Model Application Project, and the Provincial Natural Science Foundation, Guizhou University ESI Potential Discipline Enhancement Program key projects. He has published more than 10 papers in authoritative academic journals and authored more than 30 patents (including Chinese invention patents, USA invention patents).