2024 6th International Conference on Information Science, Electrical and Automation Engineering
Keynote Speakers
Home / Keynote Speakers

Keynote Speakers

图片2.png

Prof. Yigang He, Wuhan University, China

何怡刚教授,武汉大学

Title: Power Electronic Conversion Technology for New Energy Vehicles

Abstract: Most of today’s battery-electric vehicles use battery configurations, resulting in the 150~450V DC-link voltage range, and this high voltage configuration is often called the 400V system. In contrast, in electrified truck and construction vehicles, the maximum DC-link voltage can reach 870 V, and this configuration is often called the 800V system. Currently, there are several high-end electric passenger vehicles under development utilizing the 800V system. This presentation discusses the benefits and challenges of using the 800V system in passenger vehicles. The key power electronic converters, including 800V soft switching DC-DC converter, 800V motor drive, integrated design of onboard charger and auxiliary power module, and hybrid switched-capacitor converter based power supplies, are analyzed and discussed.

Experience: Yigang He received the M.Sc. degree in electrical engineering from Hunan University, Changsha,China, in 1992 and the Ph.D. degree in electrical engineering from Xi’an Jiaotong University, Xi’an,China, in 1996.In 1990, he joined the College of Electrical and Information Engineering, Hunan University and was promoted to Associate Professor, Professor in 1996, 1999, respectively. From 2006 to 2011, he worked as the Director of the Institute of Testing Technology for Circuits and Systems, Hunan University. He was a Senior Visiting Scholar with the University of Hertfordshire, Hatfield, U.K., in 2002. From 2011 to 2017, he worked as the Head of School of Electrical Engineering and Automation, Hefei University of Technology. In October 1,2017, he joined the Wuhan University, China, and currently works as the vice-Head of School of Electrical Engineering and Automation , Wuhan University. Meanwhile he was vice president of China’s Energy Institute of Science and Technology, vice president of Anhui scientists Entrepreneurs Association, director of the state local joint engineering laboratory for renewable energy grid technology. His teaching and research interests are in the areas of power electronic circuit theory and its applications, testing and fault diagnosis of analog and mixed-signal circuits, electrical signal detection, smart grid ,satellite communication monitoring, and intelligent signal processing. On the above research areas he has presided over a number of state-level projects research such as the National Natural Science Foundation of China, the State Key Program of National Natural Science Foundation of China,the national key research and development plan "important scientific instruments and equipment development", the National High Technology Research and Development Program of China, the Major State Basic Research Development Program of China ,etc. He has published some 300 journal and conference papers which was included more than 1000 times in Science Citation Index of American Institute for Scientific Information in the aforementioned areas and several chapters in edited books.Dr. He has been the general chair, session chair and the committee member of a lot of international academic conferences respectively. He was the recipient of a number of national and international awards, prizes, and honors. For example, he was the winner of national outstanding youth science fund, China national excellent science and technology worker.


杨凯.jpg

Prof. Kai Yang, Huazhong University of Science and Technology, China

杨凯教授,华中科技大学


Title: Advanced model predictive control of multiphase electric machines 

Abstract: The multiphase machines have been widely explored in industries and academia in the past years, since they can achieve the advantages of lower power rating per phase, lower torque pulsation and better fault tolerant capability. Thus, the multiphase machines are more preferred than the three-phase counterparts in high power and safety-critical applications, such as electric ship propulsion, elevator, wind power generation and so on. In addition, the model predictive control (MPC) has emerged as a competitive technique for the control of machine drives and power electronics in recent years. There are still many challenges imposed on the MPC when it is applied in conjunction with the multiphase machines. First, in the conventional MPC, the number of prediction vectors increases exponentially as the number of phase increases. Secondly, high amount of harmonic currents is introduced due to the small leakage impedance of the winding structure of asymmetrical six-phase machines. Thirdly, the parameter mismatch will result in prediction error, thus degrading the control performance. Advanced model predictive control strategies are desired to exploit the potential of multiphase machines. 

Experience: 

Visiting scholar at the University of Leuven in Belgium and visiting professor at the University of Changwon in Korea. In recent years, he has presided over four National Natural Science Fund projects, two major national science and technology projects, one national support plan, one 863 Project, one provincial fund, one international cooperation project, and more than 40 other school-enterprise cooperation projects. He has published more than 200 papers of the first author in the important academic journals at home and abroad, among which 170 papers are included in Sci/ei. There are 42 patents for invention and 28 patents for utility model.

图片1.png

Prof. Qiang Yang, Zhejiang University, China

杨强教授,浙江大学

Title: Renewable Energy Dominated Power Systems - Technological Challenges, Research Cases, and Future Prospects

Abstract: This speech will outline the recent advances of Renewable Energy Dominated Power Systems from a number of aspects, including the technological challenges and future development trends. Several research cases and results will be reported with analysis and discussions. This talk hopes to bring some new insights into the recent studies in the area from the recent research activities carried out by the research group. Specifically, multi-energy planning and control, the intelligent maintenance of large-scale system infrastructures as well as system cybersecurity issues are discussed. 

Experience: Qiang Yang (M’03-SM’18) received Ph.D. degree in Electronic Engineering and Computer Science from Queen Mary, University of London, London, U.K., in 2007 and worked in the Department of Electrical and Electronic Engineering at Imperial College London, U.K., from 2007 to 2010. He visited the University of British Columbia and the University of Victoria Canada as a visiting scholar in 2015 and 2016. He is currently a full Professor at the College of Electrical Engineering, Zhejiang University, China, and has published more than 240 technical papers, filed 48 national patents, co-authored 2 books, and edited 2 books and several book chapters. His research interests over the years include smart energy systems, large-scale complex network modeling, control and optimization, learning based optimization and control. He is a Fellow of the British Computer Society (BCS), a Senior Member of IEEE, IET and the Senior Member of China Computer Federation (CCF).



乔钢.png

Prof. Gang Qiao, Harbin Engineering University, China

乔钢教授 哈尔滨工程大学

Title: Application and challenges of marine information technology

Abstract: This paper introduces the demand and application of marine information technology in military and civil fields. The current situation and development trend of marine information technology, including underwater detection, communication, navigation, positioning and other information technologies, are emphatically analyzed, and the technical challenges, solutions, technical capabilities and typical applications of underwater information systems are introduced.

Experience: 

Qiao Gang has been a full Professor with Harbin Engineering University (HEU), and served as the dean of College of Underwater Acoustic (UWA) Engineering, HEU. He is also the director of National Key Laboratory of UWA Science and Technology, and the director-general of Acoustical Society of Heilongjiang Province. His research interests lie in the areas of UWA communication and networking, bionic UWA communication and detection, UWA localization and navigation technologies. He and his group proposed the full-duplex UWA communication system and bionic covert UWA communications, and developed a series of UWA modems. He published over 150 papers, got over 50 China National Invention Patents and achieved over 10 Provincial and Ministerial-Level Science and Technology Awards.


RB.png

Prof. Rza Bashirov, Eastern Mediterranean University

Title:Interplay between paradigms - how to select an appropriate approach for modeling biological systems

Abstract:Quantitative modeling of biological systems with Petri nets has undergone a renaissance over the past two decades. In spite of ever-growing numbers of models, it is still a question whether such models are biologically relevant. Despite the fact that most of the biological processes are mesoscopic in scale, the majority of models is based on deterministic predictions, which cannot quantify uncertainties and randomness inherent in such biological processes. Choice between deterministic, stochastic and fuzzy parameters and aspects; that is, what modeling approach to use to approximate biological systems to the desired relevance, and how to measure the parallels and discrepancies between modeling paradigms, are the main questions addressed in this work. We use Petri nets with continuous, hybrid, stochastic and fuzzy extensions to exemplify case studies. Statistical analysis reveals significant deviations between simulation results collected from three modeling approaches. Since underlying biological systems are at the mesoscopic-scale, we conclude that fuzzy stochastic approach produces quantitative results with the most biological relevance.

Keywords:Quantitative modeling; Discrete, continuous and hybrid Petri nets Determinism; Stochasticity; Randomness; Uncertainty; Fuzzy sets; Statistical analysis.