Prof. Ruili Wang, Dalian Massey University, New ZealandProfessor Ruili Wang, a New Zealand national and Fellow of Engineering New Zealand (national-level talent, 2019), serves as the Associate Dean of Research at the School of Mathematical and Computing Sciences, Massey University. He is a member of the Marsden MIS Panel (2016–2018) of the Royal Society of New Zealand and was recognized as a "Top 2% Global Scientist" by Stanford University in 2022. Professor Wang has published a total of 200 papers, including 140 journal articles, 59 conference papers, and 1 book chapter. His primary research areas include artificial intelligence, machine learning and data mining, computer vision and video processing, as well as speech and natural language processing. He is the head of the Language and Speech Processing Laboratory at Massey University. Professor Wang has secured substantial research funding totaling over 7 million New Zealand dollars, including leadership roles in major national projects such as the New Zealand Strategic Incubation Project (as sub-project leader for "Applications of Artificial Intelligence in Healthcare") and the New Zealand–Singapore Joint Data Science Fund project. |
| Prof. Huolin Huang, Dalian University of Technology, ChinaProf. Huang is currently a professor and doctoral supervisor at the School of Optoelectronic Engineering and Instrument Science at Dalian University of Technology. He has been selected for the local high-level talent program and is an IEEE Senior Member. He serves as the Director of the Provincial Third Generation Semiconductor Technology Innovation Center and is the head of the GaN (Gallium Nitride) Electronic Device Innovation Team at Dalian University of Technology. Having worked in the Department of Electrical Engineering at the National University of Singapore for many years, he has developed high-voltage normally-off (enhancement mode) GaN power devices with a high threshold voltage ranging from 600 to 2000V, achieving comprehensive metrics that meet the international advanced level at the same time. Currently, he leads a team consisting of 8 faculty members and over 50 master's and doctoral students, focusing on the design and processing of high-reliability GaN power switching devices across all voltage levels, the integration of sensing and detection based on GaN electronic devices, and research on instrument manufacturing technologies. |
Prof. Shaohua Chen, Dalian Jiaotong University, ChinaProfessor Chen is a professor and doctoral and master's supervisor at Dalian Jiaotong University. His research focuses on intelligent robot control, wireless communication technology, and railway transportation signal and control technology. He has been selected for the "Hundred-Thousand-Ten Thousand Talent Project" at the provincial level in Liaoning and is part of the Higher Education Innovation Talent Support Program by the Liaoning Provincial Department of Education. He has led and participated in over 30 national and provincial research projects, applied for over 30 patents, and published more than 30 high-level papers indexed by SCI/EI. |
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