Speakers
SPEAKERS |
Prof. Xizheng Ke Xi'an University of Technology, China Xi'an University, China | Xizheng Ke holds a Ph.D. degree in Science and is recognized as a second-level professor. Currently, he serves as the Deputy Director of the Key Laboratory of Intelligent Collaborative Network in the integration of defense and civilian technologies in Shaanxi Province. Respected as a renowned teacher in Shaanxi Province, Dr. Ke has also been honored with the title of Foreign Academician of the Russian Academy of Natural Sciences. He is an esteemed member of the Chinese Institute of Electronics (CIE) and holds the distinction of being a Lifetime Senior Member of this Institute. Additionally, he is a Senior Member of the China Instrument and Control Society (CIS) and serves as the Director and Senior Member of the China Society for Optical Engineering (CSOE), where he holds the status of a Lifetime Senior Member. Moreover, he is actively involved as an Executive Director of the Shaanxi Optical Society (SXOS), a Member of the Intelligent Traffic Illuminating Committee of the China Illuminating Engineering Society (CIES), a Standing Director of the Dynamic Signal Analysis Committee of the Chinese Society for Vibration Engineering (CSVE) and a Senior Member of this society. Notably, Dr. Ke’s expertise extends internationally, as he is a member of the Optical Society of America (OSA) and holds a Lifetime Membership in the International Society for Optics and Photonics (SPIE) (Scholar ID: CN-BF75E9GJ). Concerning Dr. Ke’s academic background, he received his B.S. degree from the Shaanxi Institute of Technology in 1983 and his D.Sc. degree from the University of Chinese Academy of Sciences in 1996, and conducted postdoctoral research at Xidian University and Second Artillery College of Engineering from 1997 to 2002. Dr. Ke’s contributions have been recognized at various levels. He serves as a National Science and Technology Award Evaluation Expert and is a member of the Third Discipline Evaluation Group of the Shaanxi Academic Degrees Committee. In 2000, he received the prestigious Outstanding Young Scholar Award from the Chinese Academy of Sciences. Throughout his career, Dr. Ke has been honored with numerous accolades. In 2009, he was bestowed with the title of “Guangdong Excellent Science and Technology Commissioner” by the Ministry of Science and Technology and the Ministry of Education. In 2015, he was recognized as a “LvYang Jinfeng” leader in Yangzhou City. In 2018, he received the China Industry-University-Research Innovation Award, followed by the second prize of the China Industry-University-Research Innovation Achievement in 2019. In 2020, he was honored with the title of “Excellent Scientific and Technological Worker” by the Chinese Institute of Electronics. In 2021, he received the Best Technology Award (System Category) at the 9th Aladdin Magic Lamp Award. Since 2021, Dr. Ke has been the recipient of 18 provincial and ministerial science and technology awards, including one first prize and six second prizes. He holds more than 30 invention patents authorized by the state. His research work has been published extensively, including 11 monographs in Science Press and 10 monographs in Springer Press. He has also published over 400 academic papers in domestic and international journals, with a notable H index of 40 and a G index of 64. He has successfully supervised the training of over 30 doctoral students. Speech Title: Optical Wireless communication System Model Abstract: A complete wireless optical communication system consists of two parts: a transmitting part and a receiving part. Among them, the transmitting part loads the source information onto the light wave in the form of an electrical signal through an electro-optic modulator, and emits it after being collimated by an optical antenna beam through an optical fiber amplifier. The alignment tracking and capture system at the transmitting end completes the complete alignment and tracking of the beam. After the laser is transmitted through the atmosphere, the optical antenna is used to receive the light signal carrying the information, and the adaptive optical technology is used to correct the wavefront distortion caused by atmospheric turbulence, thereby improving the coupling efficiency. The alignment tracking and capture system at the receiving end is used to capture the light spot and extract the information. The photoelectric detector completes the conversion from light signal to electrical signal, and finally uses digital signal processing technology to restore the baseband signal, realizing data transmission from the source to Shinjuku. |
Prof. Yonghui Li IEEE Fellow The University of Sydney, Australia | Professor Yonghui Li is now a Professor and Director of Wireless Engineering Laboratory in School of Electrical and Information Engineering, University of Sydney. At the same time, he also is an editor for IEEE transactions on communications, IEEE transactions on vehicular technology and guest editors for several special issues of IEEE journals, such as IEEE JSAC, IEEE IoT Journals, IEEE Communications Magazine. He received the best paper awards from IEEE International Conference on Communications (ICC) 2014, IEEE PIMRC 2017, and IEEE Wireless Days Conferences (WD) 2014. He has published one book, more than 160 papers in premier IEEE journals and more than 100 papers in premier IEEE conferences. His publications have been cited more than 15000 times. Six of his papers have been included as ISI high cited papers by ESI Web of Science, defined as top 1% of papers in the field. Several of his papers have been the top most 10 most cited papers in the respective journals since the year it was published. He has participated in $500 Millions Australia national demonstration project “Smart Grid Smart City” and designed last mile access networks. Speech Title: Beyond 5G towards a Super-connected World Abstract: Connected smart objects, platforms and environments have been identified as the next big technology development, enabling significant society changes and economic growth. The entire physical world will be connected to the Internet, referred to as Internet of Things (IoT). The intelligent IoT network for automatic interaction and processing between objects and environments will become an inherent part of areas such as electricity, transportation, industrial control, utilities management, healthcare, water resources management and mining. Wireless networks are one of the key enabling technologies of the IoT. They are likely to be universally used for last mile connectivity due to their flexibility, scalability and cost effectiveness. The attributes and traffic models of IoT networks are essentially different from those of conventional communication systems, which are designed to transmit voice, data and multimedia. IoT access networks face many unique challenges that cannot be addressed by existing network protocols; these include support for a truly massive number of devices, the transmission of huge volumes of data burst in large-scale networks over limited bandwidth, and the ability to accommodate diverse traffic patterns and quality of service (QoS) requirements. Some IoT applications have much stringent latency and reliability requirements which cannot be accommodated by existing wireless networks. Addressing these challenges requires the development of new wireless access technologies, underlying network protocols, signal processing techniques and security protocols. In this talk, I will present the IoT network development, architecture, key challenges, requirements, potential solutions and recent research progress in this area, particularly in 5G and beyond 5G. |
Prof. Steven Guan Xi'an Jiaotong-Liverpool University (XJTLU), China | Steven Guan received his BSc. from Tsinghua University and M.Sc. & Ph.D. from the University of North Carolina at Chapel Hill. He is currently a Professor at Xi'an Jiaotong-Liverpool University (XJTLU) and Honorary Professor at University of Liverpool. He served the head of department position at XJTLU for 4.5 years, creating the department from scratch and now in shape. Before joining XJTLU, he was a tenured professor and chair in intelligent systems at Brunel University, UK. Prof.
Guan has worked in a prestigious R&D organization for several years, serving as a design engineer, project leader, and department manager. After leaving the industry, he joined the academia for three and half years. He served as deputy director for the Computing Center and the chairman for the Department of Information & Communication Technology. Later he joined the Electrical & Computer Engineering Department at National University of Singapore as an associate professor for 8 years.
Prof. Guan’s research interests include: machine learning, computational intelligence, big data analytics, mobile commerce, modeling, networking, personalization, security, and pseudorandom number generation. He has published extensively in these areas, with 140+journal papers and 200+ book chapters or conference papers. He has chaired, delivered keynote speech for 100+ international conferences and served in 180+ international conference committees and 20+ editorial boards. There are quite a few inventions from Prof. Guan including Generalized Minimum Distance Decoding for Majority Logic Decodable Codes, Prioritized Petri Nets, SelfModifiable Color Petri Nets, Dynamic Petri Net Model for Iterative and Interactive Distributed Multimedia Presentation, Incremental Feature Learning, Ordered Incremental Input/Output Feature Learning, Input/Output Space Partitioning for Machine Learning, Recursive Supervised Learning, Reduced Pattern Training using Pattern Distributor, Contribution Based Feature Selection, Incremental Genetic Algorithms, Incremental Multi-Objective Genetic Algorithms, Decremental Multi-objective Optimization, Multi-objective Optimization with Objective Replacement, Incremental Hyperplane Partitioning for Classification, Incremental Hyper-sphere Partitioning for Classification, Controllable Cellular Automata for Pseudorandom Number Generation, Self Programmable Cellular Automata, Configurable Cellular Automata, Layered Cellular Automata, Transformation Sequencing of Cellular Automata for Pseudorandom Number Generation, Open Communication with Self-Modifying Protocols, etc. Speech Title: Incremental hyperplane partitioning approach for classification Abstract: A recursive domain decomposition approach combined with task decomposition is proposed to tackle the difficulty of classification problems caused by the complex pattern relationship and curse of dimensionality. An incremental hyperplane partitioning approach is proposed for classification. Hyperplanes that are close to the classification boundaries of a given problem are searched using an incremental approach based upon Genetic Algorithm (GA). A new method - Incremental Linear Encoding based Genetic Algorithm (ILEGA) is proposed for that purpose. We solve classification problems through a simple and flexible chromosome encoding scheme, where the partitioning rules are encoded by linear equations rather than If-Then rules. The algorithm is tested with six datasets. The experimental results show that ILEGA outperform in both lower- and higher-dimensional problems compared with the original GA. A variation of the incremental hyperplane partitioning approach is also presented, namely incremental hypersphere partitioning. |
Assoc. Prof. Xiaoyan Hu IEEE Member Xi’an Jiaotong University | Dr. Hu received the M.Eng. degree in Information and Communications Engineering from Xi'an Jiaotong University, Xi'an, China, in 2016, and the Ph.D. degree in Electronic and Electrical Engineering from University College London (UCL), London, U.K., in 2020. From 2019 to 2021, she was a Research Fellow with the Department of Electronic and Electrical Engineering, UCL, U.K. She is currently a Distinguished Researcher/Associate Professor with the School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, China. Her research interests are in the areas of 5G&6G wireless communications, including topics such as edge computing, reconfigurable intelligent surface (RIS)&intelligent reflecting surface (IRS), UAV communications, integrated sensing and communications (ISAC), secure&covert communications, and learning-based communications. She has published one WILEY book chapter on IRS-Aided Mobile Edge Computing: From Optimization to Learning, and 30+ research papers including 2 ESI highly cited papers and 4 Journal Popular Papers. Dr. Hu is an IEEE Member. She has been selected as a member of Young Elite Scientists Sponsorship Program of the China Association for Science and Technology, and a member of the Qin Chuang Yuan High-Level Innovation and Entrepreneurship Talent Program. She has been honored as a “Si Yuan Scholar” sponsored by Huawei Technologies Co., Ltd. Dr. Hu has served as a Guest Editor for ELECTRONICS on Physical Layer Security and for CHINA COMMUNICATIONS Blue Ocean Forum on MAC and Networks. She was a recipient of an Exemplary Reviewer for IEEE COMMUNICATIONS LETTERS. Since 2020, she has been serving as the Assistant to the Editor-in-Chief of IEEE WIRELESS COMMUNICATIONS LETTERS. Speech Title: The applications of RIS/STAR-RIS in wireless communication networks Abstract: RIS has attracted widespread attention from both academic and industry due to its advantages such as low cost, programmability, and easy deployment, which has been considered as one of the key enabling technologies for 6G. In order to further develop and explore the applications of RIS in wireless communication networks, some new RIS structures have been proposed, including simultaneously transmitting and reflecting RIS (STAR-RIS), active RIS, and hybrid RIS, etc. However, the emergence of these new structures also brings new opportunities and challenges. In this report, we first introduce the application potentials of the STAR-RIS in enhancing covert communications as well as the joint implementation of physical layer security (PLS) and covert communications. Then, taking advantage of the 360° coverage range of STAR-RIS, we propose a STAR-RIS-assisted UAV-enabled mobile edge computing (MEC) architecture. Finally, we introduce the solution for integrated sensing and communications (ISAC) scheme assisted by the hybrid RIS. The results show that the RIS/STAR-RIS has great potential in enhancing the performance of wireless communications. |
