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Dr. Sarah Huo
Distinguished Professor, Shenzhen University, China; Emeritus Professor, University of British Columbia (UBC), Canada.
Research field: Wireless networks; Mobile systems.
VICTOR C. M. LEUNG is a Distinguished Professor of Computer Science and Software Engineering at Shenzhen University, China. He is also an Emeritus Professor of Electrical and Computer Engineering and Director of the Laboratory for Wireless Networks and Mobile Systems at the University of British Columbia (UBC), Canada. His research is in the broad areas of wireless networks and mobile systems, and he has published widely in these areas. His published works have together attracted more than 50,000 citations. He is named in the current Clarivate Analytics list of “Highly Cited Researchers”. Dr. Leung is serving on the editorial boards of the IEEE Transactions on Green Communications and Networking, IEEE Transactions on Cloud Computing, IEEE Transactions on Computational Social Systems, IEEE Access, and several other journals. He received the 1977 APEBC Gold Medal, 1977-1981 NSERC Postgraduate Scholarships, IEEE Vancouver Section Centennial Award, 2011 UBC Killam Research Prize, 2017 Canadian Award for Telecommunications Research, 2018 IEEE TCGCC Distinguished Technical Achievement Recognition Award, and 2018 ACM MSWiM Reginald Fessenden Award. He co-authored papers that won the 2017 IEEE ComSoc Fred W. Ellersick Prize, 2017 IEEE Systems Journal Best Paper Award, 2018 IEEE CSIM Best Journal Paper Award, and 2019 IEEE TCGCC Best Journal Paper Award. He is a Life Fellow of IEEE, and a Fellow of the Royal Society of Canada (Academy of Science), Canadian Academy of Engineering, and Engineering Institute of Canada.
Professor, University of Toronto, Canada.
Research field: Artificial intelligence; Human-computer interaction; Signal processing; Communications systems.
Konstantinos (Kostas) N. Plataniotis received his B.Eng. degree in Computer Engineering from University of Patras, Greece and his M.S. and PhD degrees in Electrical Engineering from Florida Institute of Technology Melbourne, Florida. Dr. Plataniotis is currently a Professor with The Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto in Toronto, Ontario, Canada, where he directs the Multimedia Laboratory. He holds the Bell Canada Endowed Chair in Multimedia since 2014. His research interests are primarily in the areas of image/signal processing, machine learning and adaptive learning systems, visual data analysis, multimedia and knowledge media, and affective computing. Dr. Plataniotis is a Fellow of IEEE, Fellow of the Engineering Institute of Canada, and registered professional engineer in Ontario.
Professor, Simon Fraser University, Canada.
Research field: Networking and multimedia systems and applications, in particular, multimedia content processing and communications; Internet architecture and protocols; Wire mobile networking; Cloud and edge computing; Online gaming and social networking; Internet of Things/RFID/Backscatter.
Jiangchuan Liu is currently a Full Professor (with University Professorship) in the School of Computing Science at Simon Fraser University, British Columbia, Canada. He is a Fellow of The Canadian Academy of Engineering, an IEEE Fellow and an NSERC E.W.R. Steacie Memorial Fellow. He is also an EMC-Endowed Visiting Chair Professor of Tsinghua University, Beijing, China (2013-2016) and an Adjunct Professor of Tsinghua Shenzhen Graduate School. He was a Microsoft Research Fellow and worked at Microsoft Research Asia (MSRA) in the summers of 2000, 2001, 2002, 2007, and 2011. He received BEng (Cum Laude) from Tsinghua University in 1999, and PhD from The Hong Kong University of Science and Technology in 2003 (through HKUST's MED program with recommendation from Education Ministry of China and scholarship from Hong Kong Jockey Club; recipient of 2004 Hong Kong Young Scientist Award for the PhD work). From 2003 to 2004, he was an Assistant Professor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong.
Professor, Fudan University, China.
Research field: Smart Wireless Systems.
Prof. Liang Song is currently with Fudan University, China, with numerous distinguished and adjunct appointments, e.g., Vice Chairman of Institute on Networking Systems of AI, Professor of the University of Toronto (Canada), Chief Expert of Shanghai Industrial Technology Institute, Standing Director of Shanghai Pudong IoT Alliance, Chairman of Shanghai 5G-VR Alliance, among others. He also sits in board of numerous high technology companies. Prof. Liang Song is a Fellow of Canadian Academy of Engineering, and also a Fellow of Chinese National Distinguished Experts. Among his leaderships, he leads a growing research team of Fudan Institute on Networking Systems of AI (FINSAI), Fudan University, with more than 30 faculties. Prof. Song's technical contributions converge communication networks and AI systems. He has published more than 100 referred papers in his technical area, and has been an inventor of over 100 patents. Dr. Liang Song is a world-class engineer and entrepreneur in smart wireless systems, an emerging area of artificial intelligence (AI) and next generation wireless systems. Due to his contributions in both L2 cognitive multi-hop wireless networks and distributed AI, large-scale and ubiquitous smart infrastructure can be possible, by interconnecting smart terminals with data sensing, wireless communications, and processing. His work represented Canada in 5G telecommunications, impacting all cellular subscribers; and is leading the development of global smart infrastructure. Dr. Song has received world-wide recognitions, and mentored over fifty graduate students, younger researchers and business managers/executives partly through his honorary professorships.” Cited by Canadian Academy of Engineering (CAE), 2019.
Professor, Southern University of Science and Technology, China.
Research field: Multi-agent systems; Distributed artificial intelligence; Autonomous systems and swarm robots; Cyber-physical systems.
Zhiyun Lin is currently a tenured full professor and vice dean of School of System Design and Intelligent Manufacturing, Southern University of Science and Technology. He received his PhD degree in Electrical and Computer Engineering from University of Toronto, Canada, in 2005, and then he worked as a Postdoctoral Research Associate in University of Toronto from 2005 to 2007. He joined College of Electrical Engineering, Zhejiang University in 2007 as a research professor and then promoted to a tenured full professor in 2011. In 2017, he moved to Hangzhou Dianzi University and worked as the Director of Artificial Intelligence Institute. He joined Southern University of Science and Technology in 2021. He held visiting professor positions at several universities including The Australian National University (Australia), University of Cagliari (Italy), University of Newcastle (Australia), University of Technology Sydney (Australia), and Yale University (USA). He is a technical committee member of The International Federation of Automatic Control (IFAC) on Networked Systems, and on Discrete Event and Hybrid Systems. He is Associate Editor of several international journals including IEEE Systems Journal, IEEE Control Systems Letters, Electronic, etc. His research interests focus on multi-agent systems, distributed artificial intelligence, autonomous systems and swarm robots, and cyber-physical systems. He has authored and coauthored one monograph and over 220 peer-reviewed papers in leading international journals and conferences. According to Google Scholar, his work has been cited over 7500 times. From 2014 to 2022, he has been consecutively selected in the list of Mostly Cited Chinese Researchers by Elsevier. He is a foreign member of Russian Academy of Engineering and a fellow of IET.
Academic Vice President, Hainan University, China.
Research field: Human-Machine-Thing Intelligence.
Tianruo Yang received a double bachelor degree in Computer Science and Applied Physics from Tsinghua University, and a Ph.D. degree in Computer Science from the University of Victoria, Canada. He is currently the academic vice president of Hainan University, the dean of the School of Computer Science, the fellow of the Canadian Academy of Engineering, the fellow of the European Academy of Sciences, the fellow of IEEE/IET/AAIA, the national overseas high-level talent selected, Clarivate Global Highly Cited Scholar, ACM Distinguished Scientist. Mainly engaged in the research of human-machine-thing intelligence. He has won a number of international awards and honors: Canadian Academy of Engineering John B. Stirling Medal (2021), IEEE Sensor Council Technical Achievement Award (2020), IEEE Canada C. C. Gotlieb Computer Achievement Award (2020), etc.
Associate Professor, Singidunum University, Singapore.
Research field: Stochastic optimization algorithms; Swarm intelligence; Soft-computing and optimization and modeling; Artificial intelligence; Machine learning; Image processing; Cloud and distributed computing.
Nebojsa Bacanin received his Ph.D. degrees from Faculty of Mathematics, University of Belgrade in 2015 (study program Computer Science, average grade 10.00) and from Faculty of Business Studies, Megatrend University in 2014 (study program Economics/Computer Science, average grade: 9.33). He started University career in Serbia 13 years ago. He was the vice-dean of the Graduate School of Computer Science at Megatrend University. He currently works as an associate professor at Singidunum University and as a vice-dean at Faculty of Informatics and Computing, Singidunum University. Nebojsa Bacanin is involved in scientific research in the field of computer science. He has published more than 90 scientific papers in high quality journals and international conferences indexed in Clarivate Analytics JCR, Scopus, WoS, IEEExplore, and other scientific databases, as well as in Springer Lecture Notes in Computer Science and Procedia Computer Science book chapters. He has also published 2 books in domains of Cloud Computing and Advanced Java Spring Programming.