Invited Speakers

Prof. Shuwen Xu       

Xidian University，China 

Shuwen Xu (IEEE Senior Member) was born in Huangshan city in Anhui, China. He received the B.Eng. and Ph.D. degrees, both in electronic engineering, from Xidian University, Xi’an, China, in 2006 and 2011, respectively. His research interests are in the fields of radar target detection, statistical Learning, and SAR image processing. He worked at the National Laboratory of Radar Signal Processing, Xidian University, after that. He worked as a visiting professor in Mcmaster University in 2017 and 2018, Canada. He is currently a professor with the National Laboratory of Radar Signal Processing, Xidian University. He is also the vice director of National Collaborative Innovation Center of Information Sensing and Understanding and the Director of radar signal processing and data processing Department. He served as the editorial board member of " Journal of Electronics and Informatics, " " Journal of Radar, " " Signal Processing, " " Journal of Terahertz Science and Electronic Information. " And he has published and hired more than 100 academic papers, and authorized 20 patents.

Abstract:

Radar target detection in sea clutter is of significance to both civilian and military. With the miniaturization and invisibility of sea targets, floating small targets with slow speed have become the focus of radar detection. However, the detection of floating small targets in the background of sea clutter has always been a problem. Floating small targets usually have a weak Radar Cross Section (RCS) and slow speed, making it difficult to detect such targets in sea clutter. Traditional target detection methods exhibit poor performance in the detection of floating small targets. For the detection of small and weak targets on the sea surface, a high-Doppler-resolution and high-range-resolution system (double high system) is an effective way to solve this problem. In the double high system, the target echo received by the radar provides readily available and sufficient information. However, how to transform and refine this information to improve detection performance has always been a challenge to the radar industry and a subject of constant innovation. In recent years, under the double high system, as an artificial feature engineering stage for intelligent radar target detection, scholars have proposed a variety of featurebased target detection methods to alleviate the difficulty in detecting floating small targets when relying only on energy information and considerably improve detection performance. To ensure that relevant radar practitioners better understand the development and future trend of this field in recent years, this report summarizes the difficulties of sea target detection and common target detection methods, analyzes the principle and general framework of feature detection and several typical feature-based detection methods, and explores the development trend of feature-based detection methods. 

Assoc. Prof. Zhang Shiling                

State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute, China

Zhang Shiling, senior engineer, doctor of engineering. He has been engaged in scientific research and production of high voltage and insulation technology and physical and chemical detection technology for a long time. The development of UHV dry-type converter transformer bushing and SF6 gas insulated through wall bushing has been applied to the construction of UHV AC and DC projects in China. Presided over and completed the GIS fault detection sensing technology and system, won the excellent innovation achievement award of the international innovation and entrepreneurship Expo, and was awarded the title of excellent scientific and technological worker by Chongqing Institute of electrical engineering.

As the first author, he has published more than 90 SCI/EI search papers in domestic and foreign journals and international academic conferences, 19 Chinese Core Journals of Peking University, won 9 provincial and ministerial awards such as the first prize of Chongqing scientific and technological progress and the special first prize of China Water Conservancy and power quality management Association, authorized 1 international invention patent, 20 national invention patents and utility models, 18 software copyrights, and more than 20 reports of international and domestic conferences, As the project leader, he presided over 2 provincial and ministerial projects at the basic frontier and 3 science and technology projects at the headquarters of State Grid Corporation of China.

Abstract: 

Taking the converter transformer for UHV converter valve hall as the research object, this special speech discusses the construction process of its three-dimensional digital model from the insulation structure of the transformer body. Further, focusing on the outgoing device and bushing structure of converter transformer, this paper introduces the typical structure, the actual valve hall operation environment and the heating theoretical model of high-voltage power equipment under high harmonic load from the perspective of high-voltage power equipment operation, analyzes the electro-thermal coupling nonlinear electric field of transformer outgoing device, and optimizes its insulation structure by using RBF neural network and NSGA-II multi-objective optimization algorithm. 

Considering the complex structure of converter transformer and its outgoing line device and converter bushing area are important typical accessories, this paper focuses on the construction of digital twin 3D model in this area, and carries out on-site operation and maintenance simulation test and high current Functional response analysis under high voltage load. The digital twin model of the outlet device area is constructed according to the electro-thermal coupling physical field simulation model. The electro-thermal sensor is used to monitor the on-line voltage and current waveform in real time, and the interaction between the on-site operating parameters and the loading data of the digital twin model is realized. On the other hand, the intelligent extraction and identification of material area in the digital twin model is realized, and the material parameter performance can be changed according to the physical field environment, so as to adapt to the structural design and performance evaluation of different operating environments. Furthermore, in order to analyze the relationship between the internal transient temperature of the converter bushing and its short-time current carrying capacity and long-term aging performance, an evaluation process method of the long-term internal insulation performance of the high-voltage bushing is proposed. 

Focuses on the 3D construction of digital twin model in the outgoing area of converter transformer. Its research method can be extended to key components such as converter body winding structure, oil paper insulation area and on load switch. The research results of this paper can provide theoretical guidance and technical reference for the insulation structure design of converter transformer body, especially for the structural design and operation maintenance of outlet device area, and can provide some theoretical guidance for on-line analysis of short-term current carrying capacity and long-term aging performance of converter transformer outlet device area.

Prof. Yang Yue       

Xi’an Jiaotong University, China

Yang Yue received the B.S. and M.S. degrees in electrical engineering and optics from Nankai University, China, in 2004 and 2007, respectively. He received the Ph.D. degree in electrical engineering from the University of Southern California, USA, in 2012. He is a Professor with the School of Information and Communications Engineering, Xi'an Jiaotong University, China. Dr. Yue’s current research interest is intelligent photonics, including optical communications, optical perception, and optical chip. He has published over 240 journal papers (including Science) and conference proceedings with >10,000 citations, five edited books, two book chapters, >60 issued or pending patents, >200 invited presentations (including 1 tutorial, >30 plenary and >50 keynote talks). Dr. Yue is a Fellow of SPIE, a Senior Member of IEEE and Optica. He is an Associate Editor for IEEE Access and Frontiers in Physics, Editor Board Member for four other scientific journals, Guest Editor for >10 journal special issues. He also served as Chair or Committee Member for >100 international conferences, Reviewer for >70 prestigious journals.

Nowadays, optical communications serves as the information transmission infrastructures through global networks. Emerging applications place huge demands on the data capacity of communication systems. This talk presents high-speed optical communications systems enabled by orbital angular momentum (OAM) mode-division multiplexing.

First, OAM basics and its traditional applications will be introduced. Spatial division multiplexing (SDM) utilizes multiple spatially orthogonal channels to transmit signals simultaneously, dramatically increasing the data capacity. OAM states can be used as an extra dimension, creating an additional set of data carriers in the SDM system. First, we will provide several typical scenarios for free-space optical OAM communications. Next, we will discuss the potential and applications of using OAM modes for spatial multiplexing in a ring fiber. Several types of ring-core fibers carrying different functions for OAM modes will be presented. Finally, we will review several reconfigurable networking functions on multiplexed OAM beams with wavefront-phase-tailoring methods.

Prof. Tang Liu

Sichuan Normal University, China

Tang Liu received the B.S. degree in computer science from the University of Electronic Science and Technology of China, China, in 2003, and the M.S. and Ph.D. degrees in computer science from Sichuan University, in 2009 and 2015, respectively. He is currently a professor and vice dean at the College of Computer Science, Sichuan Normal University, Chengdu, China. From 2015 to 2016, he was a visiting scholar with the University of Louisiana at Lafayette, Lafayette, LA, USA. He has authored more than 30 scientific papers in several journals and conferences, including INFOCOM, IEEE TMC, IEEE/ACM TON, IEEE TWC, ACM TOSN and IPDPS. His research interests include wireless charging and wireless sensor networks.

Session Chair

Prof. Fengxiao Tang
Central South University, China

Fengxiao Tang (S'15-M'19) received the B.E. de gree in measurement and control technology and in strument from the Wuhan University of Technology, Wuhan, China, in 2012 and the M.S. degree in soft ware engineering from the Central South University, Changsha, China, in 2015. He received the Ph.D. degrees from the Graduate School of Information Science, Tohoku University, Japan. Currently, He is an full professor in the School of Computer Science and Engineering of Central South University. He has been an Assistant Professor from 2019 to 2020 and an Associate Professor from 2020 to 2021 at the Graduate School of Information Sciences (GSIS) of Tohoku University. His research interests are unmanned aerial vehicles system, IoT security, game theory optimization, network traffic control and machine learning algorithm. He was a recipient of the prestigious Dean's and President's Awards from Tohoku University in 2019, and several best paper awards at conferences including IC-NIDC 2018, GLOBECOM 2017/2018. He was also a recipient of the prestigious Funai Research Award in 2020, IEEE ComSoc Asia-Pacific (AP) Outstanding Paper Award in 2020 and IEEE ComSoc AP Outstanding Young Researcher Award in 2021.

Prof. Bomin Mao                

Northwestern Polytechnical University, China

Bo-Min Mao is a professor and doctoral supervisor in the School of Cyberspace Security, Northwestern Polytechnical University. He has a B.S. and M.S. from Xi'an University of Electronic Science and Technology, and a Ph.D. from Tohoku University, Japan, where he was an assistant professor and associate professor. His research is focused on intelligent communication, edge computing, Internet of Vehicles, and Internet of Things for a long time. He has published more than forty papers in top journals and conferences in the field of communication and computing. He has been awarded the IEEE Communications Society Asia Pacific Outstanding Paper Award, the Tanyu Hojiro Memorial Paper Award in Japan, and the IEEE GLOBECOM 2017 Best Paper Award. He has been selected as one of the Young Talent Support Program of Xi'an Science Association in 2022 and "Soaring Overseas Scholar" of Northwestern Polytechnical University in 2021.

Dr. Qisong Yang                

Delft University of Technology,  Xi'an High-Tech Research Institute, China

Qisong Yang is an assistant researcher of Xi'an High-Tech Research Institute, Ph.D. in computer science from Delft University of Technology, and participated in the exchange program of Oxford University in the UK during his Ph.D. He has long been engaged in research on reinforcement learning, autonomous driving, command and control, etc. He is a reviewer of NeurIPS and ICML, the top meeting of artificial intelligence, and has published more than 20 papers in CCF A, SCI, EI, etc.

Session 4: Intelligent Computing  

Prof. Yanhong She

Xi'an Shiyou University, China

Nowadays, optical communications serves as the information transmission infrastructures through global networks. Emerging applications place huge demands on the data capacity of communication systems. This talk presents high-speed optical communications systems enabled by orbital angular momentum (OAM) mode-division multiplexing.

First, OAM basics and its traditional applications will be introduced. Spatial division multiplexing (SDM) utilizes multiple spatially orthogonal channels to transmit signals simultaneously, dramatically increasing the data capacity. OAM states can be used as an extra dimension, creating an additional set of data carriers in the SDM system. First, we will provide several typical scenarios for free-space optical OAM communications. Next, we will discuss the potential and applications of using OAM modes for spatial multiplexing in a ring fiber. Several types of ring-core fibers carrying different functions for OAM modes will be presented. Finally, we will review several reconfigurable networking functions on multiplexed OAM beams with wavefront-phase-tailoring methods.

Assistant Prof. Feng Yin

The Chinese University of Hong Kong, Shenzhen, China

Feng Yin received his B.Sc. degree from Shanghai Jiao Tong University, China, and his M.Sc. and Ph.D. degrees from Technische Universitaet Darmstadt, Germany. From 2014 to 2016, he was a postdoc researcher with Ericsson Research, Linkoping, Sweden. Since 2016, he has been with The Chinese University of Hong Kong, Shenzhen, as an assistant professor. His research interests include statistical signal processing, Bayesian learning and optimization, and sensory data fusion. He has published more than 80 top-tier journal papers and flag-ship conference papers, more than 20 patents/standards. He was a recipient of the Chinese Government Award for Outstanding Self-Financed Students Abroad in 2013 and the Marie Curie Young Scholarship from the European Union in 2014. He was the finalist for the IEEE CAMSAP conference best paper award in 2013 and received the best paper award of Springer ICSINC-2022 conference. He is an IEEE senior member and currently serving as the Associate Editor for the Elsevier Signal Processing Journal.

Nowadays, optical communications serves as the information transmission infrastructures through global networks. Emerging applications place huge demands on the data capacity of communication systems. This talk presents high-speed optical communications systems enabled by orbital angular momentum (OAM) mode-division multiplexing.

First, OAM basics and its traditional applications will be introduced. Spatial division multiplexing (SDM) utilizes multiple spatially orthogonal channels to transmit signals simultaneously, dramatically increasing the data capacity. OAM states can be used as an extra dimension, creating an additional set of data carriers in the SDM system. First, we will provide several typical scenarios for free-space optical OAM communications. Next, we will discuss the potential and applications of using OAM modes for spatial multiplexing in a ring fiber. Several types of ring-core fibers carrying different functions for OAM modes will be presented. Finally, we will review several reconfigurable networking functions on multiplexed OAM beams with wavefront-phase-tailoring methods.