2023 5th International Conference on Communications, Information System and Computer Engineering(CISCE 2023)

Spaekers (2023)

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Prof. Kun Yang

Member of Academia Europaea (MAE), IEEE Fellow, BCS Fellow and IET Fellow

School of Computer Science and Electronic Engineering,

University of Essex, UK


Bio: 

Prof. Yang received his Ph.D. from the Department of Electronic & Electrical Engineering of University College London (UCL), UK. He is currently a Chair Professor in the School of Computer Science & Electronic Engineering, University of Essex, UK, leading the Network Convergence Laboratory (NCL). He is also an affiliated professor of UESTC. His main research interests include wireless networks and communications, future Internet, and edge computing. In particular, he is interested in energy aspects of future communication systems such as 6G, promoting energy self-sustainability via both energy efficiency (green communications and networking) and energy harvesting (wireless charging). He has managed research projects funded by UK EPSRC, EU FP7/H2020, and industries. He has published 300+ papers and filed 20 patents with a Google Scholar citation of more than 10K. He serves on the editorial boards of a number of IEEE journals (e.g., IEEE ComMag, TNSE, WCL). He is a Deputy Editor-in-Chief of IET Smart Cities Journal. He has been a Judge of GSMA GLOMO Award at World Mobile Congress – Barcelona since 2019. He is a Member of Academia Europaea (MAE) and also a Distinguished Lecturer of IEEE ComSoc.




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Prof. Houbing Song

IEEE Fellow, ACM Distinguished Scientist

Department of Information Systems, 

University of Maryland, Baltimore County (UMBC), USA

Bio: 

Houbing Song (M’12–SM’14-F’23) received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012.

He is currently a Tenured Associate Professor and the Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us), University of Maryland, Baltimore County (UMBC), Baltimore, MD. Prior to joining UMBC, he was a Tenured Associate Professor of Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University, Daytona Beach, FL. He has served as an Associate Technical Editor for IEEE Communications Magazine (2017-2020), an Associate Editor for IEEE Internet of Things Journal (2020-present), IEEE Transactions on Intelligent Transportation Systems (2021-present), and IEEE Journal on Miniaturization for Air and Space Systems (J-MASS) (2020-present). He is the editor of eight books, the author of more than 100 articles and the inventor of 2 patents. His research interests include cyber-physical systems/internet of things, cybersecurity and privacy, and AI/machine learning/big data analytics. His research has been sponsored by federal agencies (including National Science Foundation, US Department of Transportation, and Federal Aviation Administration, among others) and industry. His research has been featured by popular news media outlets, including IEEE GlobalSpec's Engineering360, Association for Uncrewed Vehicle Systems International (AUVSI), Security Magazine, CXOTech Magazine, Fox News, U.S. News & World Report, The Washington Times, and New Atlas.


Dr. Song is an IEEE Fellow, an ACM Distinguished Member, and an ACM Distinguished Speaker. Dr. Song is a Highly Cited Researcher identified by Clarivate™ (2021, 2022) and a Top 1000 Computer Scientist identified by Research.com. He received Research.com Rising Star of Science Award in 2022 (World Ranking: 82; US Ranking: 16). Dr. Song was a recipient of 10+ Best Paper Awards from major international conferences, including IEEE CPSCom-2019, IEEE ICII 2019, IEEE/AIAA ICNS 2019, IEEE CBDCom 2020, WASA 2020, AIAA/ IEEE DASC 2021, IEEE GLOBECOM 2021 and IEEE INFOCOM 2022.


Personal Website: Click here




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Prof. Haijun Zhang

 IEEE Fellow, IET Fellow

School of Computer and Communications Engineering,

University of Science and Technology Beijing, China


Bio:

Haijun Zhang (F'23) is currently a Full Professor and Associate Dean in School of Computer and Communications Engineering at University of Science and Technology Beijing, China. He was a Postdoctoral Research Fellow in Department of Electrical and Computer Engineering, the University of British Columbia (UBC), Canada. He serves/served as Track Co-Chair of VTC Fall 2022 and WCNC 2020/2021, Symposium Chair of Globecom'19, TPC Co-Chair of INFOCOM 2018 Workshop on Integrating Edge Computing, Caching, and Offloading in Next Generation Networks, and General Co-Chair of GameNets'16. He serves/served as an Editor of IEEE Transactions on Communications, and IEEE Transactions on Network Science and Engineering. He received the IEEE CSIM Technical Committee Best Journal Paper Award in 2018, IEEE ComSoc Young Author Best Paper Award in 2017, IEEE ComSoc Asia-Pacific Best Young Researcher Award in 2019, IEEE ComSoc Distinguished Lecturer. He is a Fellow of IEEE. 


Title: 

AI enabled Radio Resource Maganement in 6G


Abstract:  

This talk will identify and discuss technical challenges and recent results related to the Artificial Intelligence (AI) enabled radio resource management in 6G. The talk is mainly divided into four parts. In the first part, will introduce 6G mobile networks and AI, discuss about the 6G mobile networks architecture, and provide some main technical challenges in AI based radio resource management in 6G mobile networks. In the second part, will focus on the issue of AI based resource management in future wireless networks and provide different recent research findings. In the third part, will address the machine learning and deep learning method based future 6G networks and address some key research problems. In the last part, will summarize by providing a future outlook of AI based radio resource management in 6G.


Personal Website: Click here




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Prof. QingXin Chu

 IEEE Fellow, foundation Chair of IEEE AP/MTT- Guangzhou Chapter,

Chair of the Engineering Center of Antennas and RF Techniques-Guangdong

School of Electronic and Information Engineering

South China University of Technology, China


Bio: 

Qing-Xin Chu (Fellow, IEEE) received the B.S., M.E., and Ph.D. degrees in electronic engineering from Xidian University, Xi’an, Shaanxi, China, in 1982, 1987, and 1994, respectively.,He is currently a Chair Professor with the School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, China. He is also the Director of the Research Institute of Antennas and RF Techniques of the South China University of Technology. From 1982 to 2004, he was with the School of Electronic Engineering, Xidian University, where he was a Professor and the Vice Dean, since 1997. He has been also with Xidian University as a Distinguished Professor in Shaanxi Hundred-Talent Program, since 2011. He has published over 300 papers in journals and conferences, which were indexed in Science Citation Index (SCI) more than 1500 times. One of his articles published in IEEE Transactions on Antennas and Propagations in 2008 became the top Essential Science Indicators (ESIs) paper within ten years in the field of antenna (SCI indexed self-excluded in the antenna field ranged top 1%). In 2014, he was elected as the highly cited Scholar by Elsevier in the field of Electrical and Electronic Engineering. He has authorized more than 30 invention patents of China.,Dr. Chu was a Fellow of the Chinese Institute of Electronics (CIE). He was the recipient of the Science Award by Guangdong Province in 2013, the Science Awards by the Education Ministry of China in 2008 and 2002, the Fellowship Award by Japan Society for Promotion of Science (JSPS) in 2004, the Singapore Tan Chin Tuan Exchange Fellowship Award in 2003, and the Educational Award by Shaanxi Province in 2003. He was the Chair of the Engineering Center of Antennas and RF Techniques of Guangdong. He is the foundation Chair of IEEE Guangzhou AP/MTT Chapter.




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Prof. Xiaojin Zhao

IEEE Senior Member, Chair of IEEE Circuits and Systems Society Shenzhen Chapter

College of Electronic and Information Engineering

Shenzhen University,  China

Bio: 

Xiaojin Zhao (Senior Member, IEEE) received the B.Sc. degrees in both microelectronics and applied mathematics from Peking University, Beijing, China, in 2005, and Ph.D. degree in electrical and electronic engineering from The Hong Kong University of Science and Technology (HKUST), Hong Kong, China, in 2010. From 2010 to 2011, he was a Postdoctoral Research Associate with HKUST. In 2012, he joined Shenzhen University, Shenzhen, China, where he is currently a Professor with the College of Electronics and Information Engineering. In 2014, he was a Visiting Scholar with IMEC, Leuven, Belgium. He has published 103 international journal articles and peer-reviewed conference papers (mostly in IEEE). His research interests include trustworthy CMOS image sensor design and its related hardware security techniques (e.g., physical unclonable function and true random number generator)



Dr. Zhao serves as an Associate Editor of IEEE Sensors Journal and a Guest Editor of IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I). He has served as an organizing/technical committee member in various IEEE conferences (e.g., DAC, ISCAS, APCCAS, PrimeAsia, Asian-HOST). He also serves as a Technical Committee Member for the IEEE Circuits and Systems Society (CASS) on Sensory Systems and the IEEE Circuits and Systems Society (CASS) on VLSI Systems and Applications. He was a co-recipient of the Best Student Paper Award from the IEEE EDSSC’2018 in Shenzhen, China, and the Outstanding Student Paper Award from the IEEE MEMS’2020 in Vancouver, BC, Canada. He has one paper selected as the cover page of the IEEE Electron Device Letters (EDL) in 2020 and two papers selected as the finalist of the Best Paper Award for AsianHOST’2017 in Beijing, and AsianHOST’2019 in Xi’an, China. He has served as the Vice Chair and the Chair for the IEEE Electron Devices and Solid-State Circuits (EDSSC) Shenzhen Joint Chapter from 2015 to 2019. He also serves as the Chair for the IEEE Circuits and Systems (CAS) Shenzhen Chapter.




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Assoc. Prof. Ran Cheng

IEEE Senior Member, Founding Chair of IEEE Computational Intelligence Society (CIS) Shenzhen Chapter

Department of Computer Science and Engineering

Southern University of Science and Technology, China


Bio: 


Dr. Ran Cheng is currently a tenured Associate Professor with the Southern University of Science and Technology (SUSTech), China. He received the PhD degree in computer science from the University of Surrey, UK, in 2016. His research interests mainly fall into the interdisciplinary fields across evolutionary computation and other major AI branches such as deep learning and reinforcement learning, aiming to provide end-to-end solutions to optimization & modeling in scientific research and engineering related applications.

 

He is the Founding Chair of IEEE Computational Intelligence Society (CIS) Shenzhen Chapter. He serves as an Associated Editor/Editorial Board Member for several journals, including: IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Artificial Intelligence, etc. He is the recipient of the IEEE Transactions on Evolutionary Computation Outstanding Paper Awards (2018, 2021), the IEEE CIS Outstanding PhD Dissertation Award (2019), the IEEE Computational Intelligence Magazine Outstanding Paper Award (2020). He is a Senior Member of IEEE.