![]() | Prof. Haitao ZhangHuazhong University of Science and Technology, ChinaProf. Haitao Zhang is Vice Dean, Second-Class Professor and PhD Supervisor at the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology. He is an IEEE Fellow, National Distinguished Young Scholar, and recipient of the Special Government Allowance of China. He serves as Chief Scientist of the National 2030 Major AI Project and Director of the Ministry of Education Engineering Research Center for Autonomous Intelligent Unmanned Systems. His research interests cover swarm intelligence, multi-robot coordination and cooperative control of autonomous unmanned surface vehicle swarms. He has published over 110 papers in Nature journals, Automatica and IEEE Transactions. His technologies have been applied to major marine engineering projects. He has won two First Class Awards of Hubei Natural Science and one First Class Award of Guangdong Technological Invention, and acts as an editorial board member of multiple prestigious SCI journals. |
![]() | Prof. Saman HalgamugeThe University of Melbourne, AustraliaProf. Saman Halgamuge is Fellow of IEEE and IET, and Professor in the Department of Mechanical Engineering, The University of Melbourne, Australia. He is listed among the world’s top 2% highly cited researchers by Stanford University. He previously served as Head of the School of Engineering at the Australian National University and Associate Dean of the Faculty of Engineering and IT at the University of Melbourne, and was a Distinguished Lecturer of the IEEE Computational Intelligence Society. His research focuses on explainable artificial intelligence, unsupervised learning, and machine learning for healthcare, energy and mechatronic systems. He has secured research grants from ARC, NHMRC and other funding bodies, and supervised more than 50 PhD candidates to completion. He maintains a prominent academic standing in the global computational intelligence and deep learning community. |
![]() | Prof. Min YeChang'an University, ChinaProf. Min Ye, Doctoral Supervisor, is a Leading Talent for Science and Technology Innovation among Young and Middle-aged Researchers in Shaanxi Province and Senior Member of IEEE. He serves as the Dean of the College of Construction Machinery and the Director of the National Engineering Research Center of Highway Maintenance Equipment. His research mainly focuses on electrification, unmanned and information-based key technologies of transportation engineering equipment in the fields of new energy and robotics. He was a visiting scholar at the University of Michigan-Dearborn, USA. He has presided over and participated in more than 20 vertical projects including the National Natural Science Foundation of China and the National Key R&D Program. He has published over 100 academic papers including many SCI-indexed papers and owns 12 invention patents and more than 30 utility model patents. He has received numerous provincial and ministerial awards for scientific and technological achievements and teaching excellence. |
![]() | Prof. Hui ZhangXi'an University of Technology, ChinaProf. Hui Zhang, Level-3 Professor and Doctoral Supervisor, is the academic leader of the provincial key discipline of Power Electronics and Power Transmission. His main research directions include microgrid operation control, new power energy storage, and driving/steering and charging technologies for electric vehicles. He was a visiting professor at Virginia Tech, USA. He has presided over 3 general programs of the National Natural Science Foundation and more than 20 vertical and horizontal research projects. He has published over 160 academic papers including more than 70 SCI/EI indexed papers, holds more than 20 patents, won a number of provincial and ministerial scientific and technological awards, and compiled 3 textbooks. |
![]() | Prof. Haoqiang PangXi’an Siyuan University, ChinaProf. Haoqiang Pang is a PhD holder and postdoctoral researcher from Xi’an Jiaotong University at Xi’an Siyuan University, who has been selected as the 2026 Shaanxi Provincial Young Science and Technology Star. His research centers on physics-data fusion physical AI energy-saving intelligent control for high-energy-consumption boilers, with relevant technologies applied in various industrial scenarios, and he is committed to translating research achievements and incubating high-tech innovative enterprises. |
![]() | Prof. Linsen ShuShaanxi University of Technology, ChinaProf. Linsen Shu, Doctor of Engineering and Master Supervisor, is the Director of the Institute of Modern Equipment Manufacturing Technology and Application. He is selected into the High-level Talent Support Program of Shaanxi Province and serves as the chief scientist of the "Scientist + Engineer" project in Qinchuangyuan Innovation Platform. His main research directions are intelligent equipment and control systems, additive-subtractive manufacturing, intelligent manufacturing and remanufacturing of aerospace components. He has presided over more than 20 vertical and horizontal projects including National Natural Science Foundation and national defense research projects. He has published over 100 academic papers including more than 40 SCI/EI indexed papers, holds more than 30 invention patents, participated in drafting multiple national and industrial standards, and obtained many provincial and ministerial scientific and technological awards. |