I C I V I S
K E Y N O T E _ S P E A K E R S
Prof. Yaonan Wang
Hunan University, China
Prof. Yaonan Wang is a member of the Chinese Academy of Engineering and an expert in robotics and intelligent control. He is currently the director of the National Engineering Laboratory of Robot Vision Perception and Control Technology. In addition, he is also a Fellow of the Chinese Society of Automation, a Fellow of the Chinese Computer Society, a Fellow of the Chinese Society of Artificial Intelligence, Chairman of the Chinese Society of Graphic Graphics, Vice Chairman of the National Intelligent Robotics Innovation Alliance, Executive Director of the Chinese Society of Automation, Supervisor of the Chinese Society of Artificial Intelligence, Member of the Technical Committee of Artificial Intelligence and Blockchain of the Science and Technology Commission of the Ministry of Education, and Chairman of the Hunan Provincial Society of Automation. He was the subject matter expert in the field of intelligent robotics of the National 863 Program, and the chief scientist of the EU Fifth Framework International Cooperation Major Project.
Prof. Yilong Yin
Shandong University, China
Prof. Yilong Yin is a full distinguished professor and doctorial tutor at School of Software, Shandong University, where he heads the subject of artificial intelligence. He is also the director of the institute of AI and a fellow of IET. He is the director of Shandong Association for Artificial Intelligence and the member of the standing committee of CCF-AI and Chinese Association for AI. He is also a president of three AI institutes: Shandong University-Lingxin AI Institute, Shandong University-Rongling Intelligent Information Institute, and Shandong University-Zhengnian Computation Cognition Institute. He was granted Program for New Century Excellent Talents in University and National Natural Science Funds of Shandong Province for Distinguished Young Scholar. He has published over 40 peer-reviewed papers in the prestigious conferences and journals, including TIP, TKDE, TIFS, TMM, ICML, AAAI, IJCAI, CVPR, MM, etc. His google scholar citations are over 4700 with H-index of 36, including the highly-cited paper with 320 citations. He has been granted the Key Program of National Natural Science Foundation of China and National Key R&D Program of China. He was honored with Shandong Technological Progress Award (second class) for two times, the prominent member of CCF, Excellent Postgraduate Tutor of Shandong Province, Excellent Postgraduate Tutor of Shandong University.
Prof. Wei Xiang
La Trobe University, Australia
Prof. Wei Xiang serves as the Chair in Artificial Intelligence and the Internet of Things of Cisco and the founding director of the Cisco-La Trobe Center for Artificial Intelligence and the Internet of Things. He is also Director of the SmartSat CRC Advanced Degree Research Program and the associate editor of IEEE Communications Surveys & Tutorials.
Prof. Linlin Shen
Shenzhen University, China
Prof. Linlin Shen received the BSc and MEng degrees from Shanghai JiaoTong University, Shanghai, China, and the Ph.D. degree from the University of Nottingham, Nottingham, UK. He was a Research Fellow with the University of Nottingham, working on MRI brain image processing. Prof. Shen is currently the “Pengcheng Scholar” Distinguished Professor at School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China. He is also an Honorary professor at School of Computer Science, University of Nottingham, UK and Visiting Professor at School of Computer Science, University of Nottingham, Ningbo, China. He serves as the director of Computer Vision Institute, AI Research Center for Medical Image Analysis and Diagnosis and China-UK joint research lab for visual information processing. He also serves as the Co-Editor-in-Chief of the IET journal of Cognitive Computation and Systems.

He is listed as the “Most Cited Chinese Researchers” by Elsevier, and listed in a ranking of the “Top 2% Scientists in the World” by Stanford University. He received the Most Cited Paper Award from the journal of Image and Vision Computing. His cell classification algorithms were the winners of the International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Images held by ICIP 2013 and ICPR 2016.
Prof. Michail Matthaiou
Queen's University Belfast, UK
Michail (Michalis) Matthaiou was born in Thessaloniki, Greece in 1981. He obtained the Diploma degree (5 years) in Electrical and Computer Engineering from the Aristotle University of Thessaloniki, Greece in 2004. He then received the M.Sc. (with distinction) in Communication Systems and Signal Processing from the University of Bristol, U.K. and Ph.D. degrees from the University of Edinburgh, U.K. in 2005 and 2008, respectively. From September 2008 through May 2010, he was with the Institute for Circuit Theory and Signal Processing, Munich University of Technology (TUM), Germany working as a Postdoctoral Research Associate. He is currently a Professor of Communications Engineering and Signal Processing and Deputy Director of the Centre for Wireless Innovation (CWI) at Queen’s University Belfast, U.K. after holding an Assistant Professor position at Chalmers University of Technology, Sweden. He has also held research visiting appointments at the University of Wisconsin-Madison, U.S.A., Linköping University, Sweden and Southeast University, China. His research interests span signal processing for wireless communications, beyond massive MIMO, intelligent reflecting surfaces, mm-wave/THz systems and deep learning for communications. He has published in excess of 230 papers on these topics, including some 100 IEEE journal papers.
Dr. Matthaiou and his coauthors received the IEEE Communications Society (ComSoc) Leonard G. Abraham Prize in 2017. He currently holds the ERC Consolidator Grant BEATRICE (2021-2026) focused on the interface between information and electromagnetic theories. He was awarded the prestigious 2018/2019 Royal Academy of Engineering/The Leverhulme Trust Senior Research Fellowship and also received the 2019 EURASIP Early Career Award. His team was also the Grand Winner of the 2019 Mobile World Congress Challenge. He was the recipient of the 2011 IEEE ComSoc Best Young Researcher Award for the Europe, Middle East and Africa Region and a co-recipient of the 2006 IEEE Communications Chapter Project Prize for the best M.Sc. dissertation in the area of communications. He has co-authored papers that received best paper awards at the 2018 IEEE WCSP and 2014 IEEE ICC and was an Exemplary Reviewer for IEEE Communications Letters for 2010. In 2014, he received the Research Fund for International Young Scientists from the National Natural Science Foundation of China. He is currently the Editor-in-Chief of Elsevier Physical Communication, a Senior Editor for IEEE Wireless Communications Letters and an Associate Editor for the IEEEJSAC Series on Machine Learning for Communications and Networks. In the past, he was an Associate Editor for the IEEE Transactions on Communications, Associate Editor/Senior Editor for IEEE Communications Letters.