Prof. Kaiming Wu
Wuhan University of Science and Technology, China
Kaiming Wu is a Foreign Academician of the Russian Academy of Engineering, a “Chutian Scholar” Professor and Doctoral Supervisor at Wuhan University of Science and Technology, and Executive Vice President of the International Iron and Steel Research Institute. He serves as an academic leader of the Hubei Provincial and Ministerial Joint State Key Laboratory of “Refractory Materials and Metallurgy” and the Hubei Provincial and Ministerial Joint Collaborative Innovation Center for “High-Performance Steel Materials and Their Applications” at Wuhan University of Science and Technology.
His principal research interests lie in high-performance steel materials and their service performance, with long-term engagement in teaching and research in steel metallurgy, physical metallurgy, and welding metallurgy. He is also Executive Deputy Director of the Hubei Provincial and Ministerial Joint Collaborative Innovation Center for “High-Performance Steel Materials and Their Applications” (a national-level collaborative innovation center).
In addition, he serves as Vice Chairman of the China Ocean Materials Industry Technology Innovation Alliance, Executive Vice President of the Marine Wind Power Research Branch of the China Society of the Pacific Ocean, and a member of the editorial boards of Materials Science and Technology, Journal of Iron and Steel Research (Chinese and English editions), and other academic journals.
Prof. Tao Zhang
Jimei University, China
Professor Tao Zhang holds a Ph.D. in Computer Science from Kent State University, USA. He is a professor at Jimei University and Vice President of the Beijing Overseas Returned Scholars Association. His research focuses on model-based intelligent decision engine technologies in artificial intelligence. Professor Zhang has made outstanding contributions in the fields of smart cities, intelligent manufacturing, smart finance, and intelligent decision-making applications.
He has previously served as Chief Scientist at Aerospace Changfeng of China Aerospace Science and Industry Corporation, Chief Architect of the Artificial Intelligence Expert System at Volkswagen Germany, Senior Analyst at IBM USA, and Senior Expert in Financial Risk Control at Bank of America.
He has been honored as a National Distinguished Expert under the “National High-Level Overseas Talent Introduction Program,” a specially appointed expert under Beijing’s “Haiju Project” for introducing top overseas talent, and recognized as a “High-level Leading Talent” at the Zhongguancun Science and Technology Demonstration Entrepreneurship Base. Additionally, he serves as Chief Technical Expert for the National Golden Shield Project, Leader of the Expert Group for the National Development and Reform Commission’s Key Informatization Construction R&D Project, Project Director for the National Key R&D Program’s “IoT Full-Scenario Smart Community Comprehensive Services and Application Demonstration,” and Entrepreneurial Mentor for returned overseas scholars under the Ministry of Human Resources and Social Security.
Professor Zhang has received numerous awards, including the Outstanding International Student Award (USA), Volkswagen Germany Technology Innovation Award, Bank of America Distinguished Contribution Award, Aerospace Changfeng Special Contribution Award (China), Beijing CBD International Talent Award, and the AEIC International Academic Exchange Committee Outstanding Contribution Award. He has served as Chair and Keynote Speaker at international academic conferences on artificial intelligence.
Prof. Yajun Liu
South China University of Technology, China
Prof. Yajun Liu was born on September 20, 1974 in Jiangxi, China. Native speaker of Chinese, fluent in English. His Education and Academic Research Experiences is as follows:
December, 2016- Now Professor in South China University of Technology School of Mechanical and Automotive Engineering.
December, 2009- December, 2010. Visiting Professor in Fluid Power Research Center (FPRC) Purdue University at West Lafayette, USA.
Feb, 2005 – July, 2016. Post-doctoral Research Fellow, Tokheim JV company in China.
June, 2002 Ph. D. in Mechanical Engineering. South China University of Technology, Guangzhou,China.
His research interests include Digital signal processing technology and its application in mechanical systems (such as hydraulic System for Energy Saving.); Intelligence control and Manufacturing Engineering. Moreover, Prof. Yajun Liu has published more than 270 papers in Journals and proceedings of international conferences. 40+ patents on Mechanical System design and manufacturing.
Prof. Zhibin Gao
Jimei University, China
Zhibin Gao is Professor and Ph.D. Supervisor at the School of Navigation, Jimei University. He holds a Ph.D. in Communication and Information Systems and is a member of the IMT-2030 (6G) Promotion Group. He previously served as Deputy Director of the National Experimental Teaching Demonstration Center for Electronic Information at Xiamen University and Deputy Director of the Digital Fujian Laboratory for IoT Communications and Secure System Architecture Technologies. He was also a visiting scholar in the Department of Electrical Engineering at the University of Washington, USA.
His research interests include wireless communication systems, vehicular networks, wireless resource management, edge intelligence, and integrated sensing, communication, and computing (ISCC). He has focused on innovative applications in three-dimensional communications and marine information engineering, and has established a research framework encompassing communication modeling, algorithm development, hardware prototyping, and engineering deployment.
Prof. Gao has published more than 80 papers in leading international journals, including IEEE JSAC, IEEE TMC, IEEE TVT, and IEEE Internet of Things Journal. His research covers air–ground cooperative transportation information system modeling, edge-intelligent task offloading, and multi-domain resource management. He has been granted over 50 invention patents, led two projects funded by the National Natural Science Foundation of China, and two key university–industry cooperation projects supported by Fujian Province, and participated in more than 40 national and provincial research projects, including the National 863 Program. He has received three provincial and municipal science and technology progress awards.
In his upcoming presentation, “Multi-Scale Task Optimization and Resource Scheduling in Intelligent Transportation Information Fusion Networks,” Prof. Gao will share his team’s latest research achievements in smart transportation and mobile information networks, offering new perspectives for the development of efficient, reliable, and sustainable urban transportation and vehicular network service systems, as well as theoretical and technical references for intelligent scheduling in future integrated air–space–ground–sea transportation scenarios.