Prof. Jiangzhou Wang,University of Kent, UK

王江舟教授   英国肯特大学，英国

Bio: Prof. Jiangzhou Wang is a Professor with the University of Kent, U.K. His research interest is in mobile communications. He has published more than 500 papers and five books. He was a recipient of the 2024 IEEE Communications Society Fred W. Ellersick Prize and the 2022 IEEE Communications Society Leonard G. Abraham Prize. He was the Technical Program Chair of the 2019 IEEE International Conference on Communications (ICC2019), Shanghai, Executive Chair of the IEEE ICC2015, London, and Technical Program Chair of the IEEE WCNC2013. He is/was the editor of multiple international journals, including IEEE Transactions on Communications from 1998 to 2013. Professor Wang is an International Member of the Chinese Academy of Engineering (CAE), a Fellow of the Royal Academy of Engineering (RAEng), U.K., Fellow of the IEEE, and Fellow of the IET.

Prof. Tiancheng Li, Northwestern Polytechnical University, China

李天成，教授，西北工业大学

Bio: Tiancheng Li is currently a professor with Northwestern Polytechnical University since 2019, who had been a Marie Skłodowska-Curie Individual Researcher with the University of Salamanca, Spain, from 2014 to 2018. He has coauthored more than 50 refereed papers on eminent journals, such as IEEE SPM and TSP.  His research interests include multi-sensor information fusion and Radar target detection and tracking. He is an Area Editor of the prestigious journal Information Fusion, and an Associate Editor for 10 peer-reviewing journals including FITEE, Journal of Radars, and Journal of Signal Processing. He is the General Chair of ICCAIS 2021 and named in the World’s top 2% of Scientists List since 2022. He is the recipient of the Best Paper Award in 2017 and Distinguished Editorial Board Member Award in 2020 from the journal FITEE, and was awarded the Second-class Natural Science Award by the CAA, the First-class Natural Science Award by Shaanxi Province and the Youth Science and Technology Award by CICC. He was granted the National Science Fund for Excellent Young Scholars in 2024.

Title: From Target Tracking to Targeting Track: Trajectory Stochastic Processing Modeling and Estimation

Abstract: To solve the target tracking problem with little a-priori information about the target dynamics, our series of studies propose to model the target trajectory by the powerful tool of stochastic process (SP). Building on a deterministic-stochastic decomposition framework, we decompose the learning of the trajectory SP into two sequential stages: the first fits the deterministic trend of the trajectory using a curve function of time, while the second estimates the residual stochastic component through learning either a Gaussian process (GP) or Student’s-t process (StP). Notably, our approach models the temporal correlations of the state sequence and of measurement noise using separate GP or StP. It does not only take advantage of the smooth trend of the target but also makes use of the long term temporal correlation of both the data and the model fitting error. 

Prof. Haiying Dong, Lanzhou Bowen College of Science and Technology, China

董海鹰，教授，兰州博文科技学院

Bio:Second-Level Professor and Doctoral Supervisor，He currently serves as a Counselor of the Gansu Provincial Government, a member of the Gansu Provincial Government Decision-Making Advisory Committee, and one of the first batch of experts at the Gansu Provincial Civil-Military Integration Development Think Tank. He is also the Director of the Gansu International Science and Technology Cooperation Base for Energy Internet Technology and Equipment R&D, and the Director of the Gansu Technological Innovation Center for Energy Storage Systems and Operation Control. He has been appointed as a review expert for the National Science and Technology Awards, the National Natural Science Foundation of China, the Postdoctoral Science Foundation, and the Ministry of Science and Technology's scientific project evaluations. His academic roles include Vice Chair of the Intelligent Distributed Energy Committee of the Chinese Association of Automation, member of the Energy and Power Engineering Teaching Committee of the China Electric Power Education Association, member of the Fault Diagnosis and Safety Technical Process Committee of the Chinese Association of Automation, and member of the New Energy Power Generation Equipment Committee of the Chinese Society for Electrical Engineering. Additionally, he serves as Vice Chair of the IEEE PES Lanzhou Branch, Vice President of the Gansu Provincial Society of Electrical Engineering, and Vice President of the Gansu Provincial Electrotechnical Society. He is also the Chair of the Academic Committee of the Gansu Provincial Key Laboratory of Solar Power System Engineering. He is an editorial board member of several journals, including Electrical Drive Automation and Integrated Smart Energy. He has led over 40 scientific research projects, including those funded by the National Natural Science Foundation of China, sub-projects of the National Key R&D Program, and Gansu Provincial Major Scientific and Technological Special Projects. He has published more than 200 academic papers, authorized over 20 invention patents, authored five books and textbooks, and received more than 10 scientific and technological progress awards, along with four teaching achievement awards. He was honored with the Gansu Provincial Higher Education Institution Young Faculty Achievement Award and has been selected as a leading talent in Gansu Province. His main research interests include modeling and intelligent control theory of complex systems, new energy generation and grid integration, and operation control of new energy power systems.

Title: Intelligent Control of Hydrogen Fuel Cell

Abstract: Proton Exchange Membrane Hydrogen Fuel Cell are widely used in energy, power, industry, and transportation due to their zero emissions, high energy efficiency, and fast start-up characteristics. However, the fuel cell is a complex system involving multi-physics coupling, which poses significant challenges in establishing its accurate model and achieving high-performance control. This report presents fuel cell modeling and parameter identification methods, along with control strategies including fuzzy Active Disturbance Rejection Control based on feedforward compensation decoupling for the air supply system, fuzzy temperature control, and CMAC neural network-based power control. Additionally, it introduces the developed hardware system for the fuel cell controller and the experimental test results.

Prof. Mouquan Shen, Nanjing Tech University,China

沈谋全，教授，南京工业大学

Bio: Mouquan Shen is a professor at the School of Electrical Engineering and Control Science, Nanjing University of Technology, doctoral supervisor, deputy director of the Professor's Committee, and leader of the Intelligent Optimization Control and Decision Team for Complex Systems. Post-doctor at Southeast University, visiting scholar at overseas universities such as the University of Hong Kong, Lingnan University in South Korea, and the University of Adelaide in Australia. He presided over more than 10 projects such as the National Natural Science Foundation of China. In recent years, more than 100 papers have been published in journals such as the IEEE Transactions on Automatic Control、IEEE Transactions on Cybernetics and IEEE Transactions on Systems, Man, and Cybernetics: Systems, H-index is 24, including 3 ESI hot topic papers and 8 ESI highly cited papers. Currently serving as the editor in chief, Associate Editor, or editorial board member of 12 international journals, including Journal of Systems and Control Engineering, and serving as a reviewer for over 80 domestic and international journals, including IEEE TAC and Automatica. Also serving as a corresponding reviewer for the National Natural Science Foundation of China and multiple provincial and municipal science and technology projects.