Prof. Yigang He, Wuhan University, China
Title: Coming soon...
Abstract: Coming soon...
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.
Prof. Kai Yang, Huazhong University of Science and Technology, China
Title: Dynamic model and stress characteristics analysis of key components of offshore multi-platform interconnected power system
Abstract: This report focuses on the influence factors, coupling process and failure mechanism of key equipment of offshore platform.Firstly, the electrical/magnetic/thermal/mechanical multi-coupled dynamic model of the key components in the offshore platform power system is studied. Considering the influence of environment on the dynamic and physical processes of key equipment such as electromagnetic transient and mechanical stress, an open multi-coupled dynamic model of key equipment is obtained.Secondly, based on the coupling model of the equipment, the failure mode, failure symptom, failure reason and failure effect are analyzed, and the failure mechanism of key components in complex marine environment is revealed.Then, stress characteristics of key equipment under different conditions such as normal, overload and various faults are analyzed. This report proposed a fault feature description, detection and location method based on monitoring data and artificial intelligence algorithm.Finally, a condition monitoring and fault early warning system based on big data was manufactured to carry out real-time monitoring and condition evaluation of equipment. This research provides theoretical guidance and technical support for improving the reliability of offshore platform power system.
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.
Prof. Qiang Yang, Zhejiang University, China
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).
Prof. Gang Qiao, Harbin Engineering University, China
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.
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.
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.