Invited Speakers  特邀嘉宾

Prof. Haiquan Zhao
Southwest Jiaotong University, China

Haiquan Zhao (Senior Member, IEEE) was born in Henan Province, China, in 1974. He received the B.S. degree in applied mathematics, and the M.S. and Ph.D. degrees in signal and information processing from Southwest Jiaotong University, Chengdu, China, in 1998, 2005, and 2011, respectively. Since 2012, he has been a Professor with the School of Electrical Engineering, Southwest Jiaotong University. From 2015 to 2016, as a Visiting Scholar, he worked with the University of Florida, USA. His current research interests include nonlinear active noise control, information theoretical learning, neural networks, adaptive network, adaptive filtering algorithm, and power system frequency estimation. At present, he is the author or coauthor of more than 160 international journal papers (SCI indexed), and the owner of 49 granted invention patents. He has served as an Active Reviewer for several IEEE transactions, IET series, signal processing, and other international journals. At present, he is a Handling Editor of Signal Processing. Prof. Zhao has won several provincial and ministerial awards, and many best paper awards of international conferences and IEEE Transactions.

Prof. Serkan Kiranyaz
Qatar University, Qatar

Serkan Kiranyaz was born in Turkey, 1972. He received his BS and MS degrees in Electrical and Electronics Department at Bilkent University, Ankara, Turkey, in 1994 and 1996, respectively. He received his PhD degree in 2005 and his Docency at 2007 from Tampere University of Technology, Institute of Signal Processing respectively. He was working as a Professor in Signal Processing Department in the same university during 2009 to 2015. He currently works as a Professor in Qatar University, Doha, Qatar.

Prof. Kiranyaz has noteworthy expertise and background in various signal processing domains. He published two books, 7 book chapters, 10 patents/applications, more than 100 journal articles in several IEEE Transactions and other high impact journals, and more than 120 papers in international conferences. He served as PI and LPI in several national and international projects. His principal research field is machine learning and signal processing. He is rigorously aiming for reinventing the ways in novel signal processing paradigms, enriching it with new approaches especially in machine intelligence, and revolutionizing the means of “learn-to-process” signals. He made significant contributions on bio-signal analysis, particularly EEG and ECG analysis and processing, classification and segmentation, computer vision with applications to recognition, classification, multimedia retrieval, evolving systems and evolutionary machine learning, swarm intelligence and evolutionary optimization.

Prof. Jibin Zheng
Xidian University, China

Jibin Zheng, Huashan Distinguished Professor, Doctoral supervisor, National Laboratory of Radar Signal Processing, Xidian University. He studied in Duke University from 2012 to 2014, and received the PhD degree from Xidian University in 2015. His main research directions include Radar detection and tracking of highly dynamic targets with complex electromagnetic scattering characteristics, Electron reconnaissance in complex electromagnetic spectrum environment, Cluster bat bionic radar. He has published 65 high-level papers in his research field, among which 9 papers have been awarded ESI highly cited papers, Natural Science Academic Paper Award of Shaanxi Province, etc. The research results have been applied in 6 types of radar equipment. He has presided over Basic Strengthening Project, National Natural Science Foundation, National Defense Basic Scientific Research Programs, etc.

Speech Title: Radar Detection and Tracking of Highly Dynamic Targets with Complex Electromagnetic Scattering Characteristics
Abstract: With the continuous progress of science and technology, the highly dynamic targets with complex electromagnetic scattering characteristics, such as the hypersonic thrust-glide aircraft and hypersonic cruise aircraft, have posed severe challenges to radar detection and tracking. Radar is the core of the current and future "assassin's mace" information equipment of our army. Without advanced radar technology, it is impossible to lead the development of information equipment. This report describes the relevant research in recent years from three aspects: mathematical characterization of echo signal, target ontology detection and high-precision tracking,and corresponding key technologies are also discussed also.

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. 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. His research interests are in the fields of radar target detection, statistical Learning, and SAR image processing.

Assoc. Prof. Li Zhang
University of Leeds, UK

Li Zhang is an Associate Professor and leads the Wireless Communication Group at the school of Electronic and Electrical Engineering, University of Leeds, UK. Her research interest is focused on wireless communications and signal processing techniques, such as massive MIMO, mmWave communications, Heterogeneous Network, Device to Device communications and 5G/5G beyond systems etc. She has served on the Technical Programme Committees of most major IEEE conferences in communications since 2006 and is an associate editor of IEEE journal. She has been selected as a member of the prestigious UK EPSRC Peer Review College since 2006, and regularly helps reviewing grant applications for Research councils in a number of European countries and book proposals for different publishers. She has been PhD examiner for numerous Universities. In 2005, she received a Nuffield award for a newly appointed lecturer. In 2006, she became a fellow of Higher Education Academy. In 2011, she was awarded as IEEE exemplary reviewer and in 2012 she was promoted as senior IEEE member.

Assoc. Prof. Fei Wang
Nanjing University of Aeronautics and Astronautics, China

He received the B. S. degree in power engineering from HoHai University in 1998, and the M.S. and the Ph.D. degrees in signal processing from Jilin University in 2003 and 2006, respectively; in 2011, he worked as a visiting scholar at Queens University of Belfast for one year funded by the China Scholarship Council; in 2017, he was invited by the 14th IBCAST International Conference and the CIE radar 2021 to give special lectures; he has successively presided over or undertaken Aeronautical Science Foundation of China, National Natural Science Foundation of China, National Defense Pre-search Program and National Defense Program (973 Program); he has won the first prize of Jilin Province Science and Technology Progress Award twice, and the second prize of National Defense Science and Technology Progress Award twice; he has published 20 papers included in SCI, authorized 8 national invention patents, 2 software copyrights, and co-published 5 monographs.

Assoc. Prof. Shuanghui Zhang
National University of Defense Technology, China

Shuanghui Zhang received the B.S. and Ph.D. degrees from National University of Defense Technology in 2011 and 2016 respectively, and he worked at Nanyang Technological University as a visiting Ph.D. student in 2015. He is currently an associate professor with the college of electrical science and technology, NUDT. His research interests lie in radar imaging and target recognition techniques, such as sparse aperture ISAR imaging, bistatic ISAR imaging, interferometric ISAR imaging, etc. He has published more than 40 articles in refereed journals, such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Aerospace and Electronic Systems, etc. He awarded the young elite scientists sponsorship by China Association for Science and Technology, and distinguished young scholars of Hunan Province. He won the excellent doctoral theses of Chinese Institute of Electronics.

Assoc. Prof. Chenguang Shi
Nanjing University of Aeronautics and Astronautics, China

Chenguang Shi received the B.S. and Ph.D. degrees from the Nanjing University of Aeronautics and Astronautics (NUAA) in 2012 and 2017, respectively. He is currently an associate professor with the Key Laboratory of Radar Imaging and Microwave Photonics, NUAA, Ministry of Education. His main research interests include radar signal processing, low probability of intercept optimization, radar network, adaptive radar waveform design, and target tracking. He has published more than 40 scientific articles in refereed journals, such as IEEE Transactions on Signal Processing, IEEE Systems Journal, IEEE Sensors Journal, etc. He received the Excellent Doctoral Dissertation Nomination Award from China Electronic Education Association in 2020.

Assoc. Prof. Tao Zhou
Beijing Jiaotong University, China

Tao Zhou received the Ph.D. degree from Beijing Jiaotong University, China, in 2016. From 2014 to 2015, he was a visiting Ph.D. student in Durham University, U.K. Since 2016, he has been an Associated Professor of Beijing Jiaotong University. From 2020 to 2021, he was a Guest Associate Research Fellow with the China Academy of Railway Sciences. He has authored one academic book and over 70 papers in refereed journals and conference proceedings. His current research interests include channel measurement and modeling, artificial intelligence for wireless communications, and Internet of Things. Dr. Zhou is a Senior Member of China Institute of Communications and a Senior Member of Chinese Institute of Electronics. He has been a Guest Editor of Symmetry and a Guest Associate Editor of Radio Science.

Asst. Prof. Yuchou Chang
University of Massachusetts Dartmouth, USA

Dr. Yuchou Chang is an assistant professor at the Computer and Information Science Department of University of Massachusetts Dartmouth. He received a PhD from the University of Wisconsin-Milwaukee and postdoctoral training from Barrow Neurological Institute of St. Joseph’s Hospital & Medical Center at Phoenix, Arizona. His current research interests include Biomedical Signal Processing, Magnetic Resonance Imaging, Robotics, and Brain-Computer Interface. He has authored and co-authored over 100 peer-reviewed publications. He has served as an associate editor of BMC Medical Imaging and multiple sessions’ chair/co-chair of the flagship conferences like IEEE EMBC and IEEE ICRA. He received E. Kika De La Garza Fellowship from the United States Department of Agriculture (USDA) in 2016. He has received several awards such as the Best Technical Report & Semi-Finalist of National Aeronautics and Space Administration (NASA) Swarmathon Robotics Virtual Competition 2017.

Speech Title: Noninvasive Electroencephalography Signal Analysis for Brain-Robot Interaction
Abstract: Electroencephalography (EEG) is a type of neurophysiological signals widely used for clinical applications such as diagnosis of brain disorders. Noninvasive EEG-based brain-computer interface (BCI) has been studied for non-medical uses of healthy human subjects. EEG-based BCI provides an emerging communication way between human and robot, and may enable intuitive, natural, and smooth interactions, as human-human interaction does. However, EEG signal is generally nonstationary. It is difficult to characterize EEG signal distributions for constantly making brain-robot interactions in a stable mode. To solve the nonstationary problem, both conventional signal processing and machine learning approaches will be introduced. Integrating both approaches can further improve signal nonstationary effect, and therefore enhance performance of brain-robot interaction.

Dr. Li You
Southeast University, China

Li You received the B.E. and M.E. degrees from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2009 and 2012, respectively, and the Ph.D. degree from Southeast University, Nanjing, in 2016, all in electrical engineering. From 2014 to 2015, he conducted Visiting Research at the Center for Pervasive Communications and Computing, University of California Irvine, Irvine, CA, USA. Since 2016, he has been with the Faculty of the National Mobile Communications Research Laboratory, Southeast University. His research interests lie in the general areas of communications, signal processing, and information theory, with the current emphasis on massive MIMO communications. Dr. You received the National Excellent Doctoral Dissertation Award from the China Institute of Communications (CIC) in 2017, the Young Elite Scientists Sponsorship Program (2019–2021) by the China Association for Science and Technology (CAST), and the URSI Young Scientist Award in 2021.

Asst. Prof. Ke Xu
Shanghai Jiao Tong University, China

Ke Xu received a Ph.D. degree from Shanghai Jiao Tong University, Shanghai, China, in 2019. He is currently an Assistant Professor with the Institute of Cyber Space Security, the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University. His research interests include gait recognition, action recognition, video adversarial attack, and abnormal events detection. He has been funded by a National Natural Science Foundation youth fund and a postdoctoral fund. He has published more than 30 scientific articles in refereed journals and conferences, such as IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, International Conference on Multimedia and Expo, etc. He is a member of CSIG digital media forensics and Security Professional Committee, a member of IEEE, and a member of CCF.

Dr. Yanhong Xu
Xi'an University of Science and Technology, China

Yanhong Xu was born in Shandong Province, China, in 1989. She received the B.S. degree in electronic engineering and the Ph.D. degree in electromagnetic field and microwave technology from Xidian University, Xi’an, China, in 2012, and 2017, respectively. From 2018/01 to 2019/12, she was a Lecturer with the School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an, China. Since 2019/12, she was elected as an Associate Professor in the same institute. During a period from 2018/02 to 2020/02, she is a Postdoctoral Fellow in the State Key Laboratory of Terahertz and Millimeter Waves, City University of Hong Kong. Her research interests include array antenna theory, frequency diverse array, wideband antenna and millimeter wave antenna technology. She was elected as an expert of “Thousand Talents Plan” (Young) of Shaanxi Province in 2020.

Dr. Weiwei Wang
Xi'an Institute of Space Radio Technology, China

Weiwei Wang was born in Shandong province, China. He received the B.S. degree in electronic engineering and the Master degree from China University of Petroleum in 2005 and 2008, respectively, and the Ph.D. degree in signal and information processing from Xidian University in 2013 in China. Since 2013, he serves in Xi’an Institute of Space Radio Technology where he is promoted as Senior Research Fellow. His research interests include spaceborne radar system design, synthetic aperture radar technique, multi-sensor array signal processing, and space-time adaptive processing.

Speech Title: Discrete Side-lobe Clutter Suppression by Designing Orthogonal Projection Filter in Space-based Radar Systems
Abstract: For moving target detection with space-based array radar systems, the discrete side-lobe clutter caused by the isolated scatters or the moving scatters at antenna side-lobe direction, such as ships, small islands, buildings, power poles of the towers, and etc., usually has large power due to the wide antenna beams and shares the similar Doppler features with the real moving targets in the antenna main- lobe beam. The discrete side-lobe clutter cannot be well suppressed by using the space-time adaptive processing (STAP) and thus to result in false alarms. To address the issue, an orthogonal projection filter is deigned to suppress the discrete side-lobe clutter for space-based radar systems. In this method, the "potential targets", including the real moving targets and the discrete side-lobe clutter, are firstly pre-selected after the STAP. Then, for the range-Doppler cells of the potential targets, the corresponding orthogonal projection filters are designed based on the differences of the space-time steering vectors between the discrete side- lobe clutter and the real moving targets. After applying the filters, the power of the discrete side-lobe clutter can be reduced significantly, while that of the real moving targets would change little, making it available to eliminate the false alarms. Finally, the theoretical analysis and the airborne radar experimental results demonstrate the effectiveness of the proposed method.

Dr. Himal Suraweera
University of Peradeniya, Sri Lanka

Himal A. Suraweera (Senior Member, IEEE) is a senior lecturer in the Department of Electrical and, Electronic Engineering, University of Peradeniya, Sri Lanka. He is in the editorial boards of IEEE Transactions on Communications and IEEE Open Journal of the Communications Society. Previously he has served as an editor for IEEE Communications Letters, IEEE Transactions on Wireless Communications and IEEE Transactions on Green Communications and Networking. He was a recipient/co-recipient of the IEEE ComSoC AP Outstanding Young Researcher Award in 2011 and the IEEE ComSoc Leonard G. Abraham Prize in 2017. He has been involved as a co-chair, Signal Processing for Communications Symposium of IEEE GLOBECOM 2015, and track chair of Full-Duplex Communications Track, Symposium on Selected Areas in Communications of IEEE ICC 2022. His research interests are in the areas of wireless communications, signal processing for communications and communication theory, in particular, cooperative communications systems, full-duplex wireless techniques, energy harvesting communications, massive MIMO systems, cognitive radio and machine learning for communications.

Speech Title: Towards Machine Learning-Enabled Visible Light Communications