Prof. Danny Hin-Kwok TSANG (Fellow, IEEE)
Hong Kong University of Science and Technology, China

Speech Title: Future IoT Applications: Technologies and Challenges

Danny H.K. Tsang (M’82-SM’00-F’12) received the Ph.D. degree in electrical engineering from the Moore School of Electrical Engineering at the University of Pennsylvania, U.S.A., in 1989. Upon graduation, he joined the Department of Computer Science at Dalhousie University in Canada. He later joined the Department of Electronic & Computer Engineering at the Hong Kong University of Science and Technology in 1992 and is now a professor in the department. He has also served as professor and the Founding Acting Thrust Head of the Internet of Things Thrust of the HKUST (Guangzhou) since March 2020. He was a Guest Editor for IEEE Journal on Selected Areas in Communications’ special issue on Advances in P2P Streaming Systems, an Associate Editor for Journal of Optical Networking published by the Optical Society of America, and a special issue Guest Editor for IEEE Systems Journal, Transactions on Industrial Informatics, Communications Magazine, and Network Magazine. He currently serves on the Special Editorial Cases Team (SECT) and has served as Technical Editor for IEEE Communications Magazine. He was nominated to become an IEEE Fellow in 2012 and an HKIE Fellow in 2013. During his leave from HKUST in 2000-2001, Dr. Tsang assumed the role of Principal Architect at Sycamore Networks in the United States. He was responsible for the network architecture design of Ethernet MAN/WAN over SONET/DWDM networks. He invented the 64B/65B encoding (US Patent No.: US 6,952,405 B2) and contributed it to the proposal for Transparent GFP in the T1X1.5 standard that was advanced to become the ITU G.GFP standard. The coding scheme has now been adopted by International Telecommunication Union (ITU)’s Generic Framing Procedure recommendation GFP-T (ITU-T G.7041/Y.1303)) and Interfaces for the Optical Transport Network (ITU-T G.709/Y1331). His current research interests include cloud computing, edge computing, NOMA networks, online algorithm design, and smart grids.

Prof. Min Chen (Fellow, IEEE)
Huazhong University of Science and Technology, China

Min Chen is a full professor in School of Computer Science and Technology at Huazhong University of Science and Technology (HUST) since Feb. 2012. He is the director of Embedded and Pervasive Computing (EPIC) Lab, and the director of Data Engieering Institute at HUST. He is the founding Chair of IEEE Computer Society (CS) Special Technical Communities (STC) on Big Data. He was an assistant professor in School of Computer Science and Engineering at Seoul National University (SNU). He worked as a Post-Doctoral Fellow in Department of Electrical and Computer Engineering at University of British Columbia (UBC) for three years. Before joining UBC, he was a Post-Doctoral Fellow at SNU for one and half years. He has 300+ publications, including 200+ SCI papers, 100+ IEEE Trans./Journal papers, 34 ESI highly cited papers and 12 ESI hot papers. He has published 12 books, including Cognitive Computing and Deep Learning (2018) with China Machine Press and Big Data Analytics for Cloud/IoT and Cognitive Computing (2017) with Wiley. His Google Scholar Citations reached 28,500+ with an h-index of 82 and i10-index of 250. His top paper was cited 3,200+ times. He was selected as Highly Cited Researcher at 2018, 2019 and 2020. He got IEEE Communications Society Fred W. Ellersick Prize in 2017, and the IEEE Jack Neubauer Memorial Award in 2019. His research focuses on cognitive computing, 5G Networks, wearable computing, big data analytics, robotics, machine learning, deep learning, emotion detection, and mobile edge computing, etc. Min Chen is a Fellow of IEEE.

Prof. Jiangchuan (JC) Liu (Fellow, IEEE) (Fellow of The Canadian Academy of Engineering)
Simon Fraser University, Canada

Speech Title: Towards Sustainable Edge and IoT: An Integral View from the Energy Perspective

Jiangchuan Liu is a Full Professor in the School of Computing Science, 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 a Distinguished Guest Professor of Tsinghua Shenzhen International Graduate School.
He received the BEng degree (cum laude) from Tsinghua University, Beijing, China, in 1999, and the PhD degree from The Hong Kong University of Science and Technology in 2003, both in computer science. He is a co-recipient of the inaugural Test of Time Paper Award of IEEE INFOCOM (2015), ACM SIGMM TOMCCAP Nicolas D. Georganas Best Paper Award (2013), ACM Multimedia Best Paper Award (2012), and IEEE MASS Best Paper Award (2021).
His research interests include multimedia systems and networks, cloud and edge computing, social networking, online gaming, and Internet of things/RFID/backscatter. He has served on the editorial boards of IEEE/ACM Transactions on Networking, IEEE Transactions on Network Sciences and Engineering, IEEE Transactions on Big Data, IEEE Transactions on Multimedia, IEEE Communications Surveys and Tutorials, and IEEE Internet of Things Journal. He is a Steering Committee member of IEEE Transactions on Mobile Computing and Steering Committee Chair of IEEE/ACM IWQoS (2015-2017). He was TPC Co-Chair of IEEE INFOCOM'2021 and IEEE Satellite’2022.

Prof. Wei Xiang
La Trobe University, Australia

Speech Title : When Artificial Intelligence Meets the Internet of Things: Motivations, Challenges, and Applications (Click for Abstract)

Wei Xiang (S’00–M’04–SM’10) Professor Wei Xiang is Cisco Research Chair of AI and IoT and Director of the Cisco-La Trobe Centre for AI and IoT at La Trobe University. Previously, he was Foundation Chair and Head of Discipline of IoT Engineering at James Cook University, Cairns, Australia. Due to his instrumental leadership in establishing Australia’s first accredited Internet of Things Engineering degree program, he was inducted into Pearcy Foundation’s Hall of Fame in October 2018. He is an elected Fellow of the IET in UK and Engineers Australia. He received the TNQ Innovation Award in 2016, and Pearcey Entrepreneurship Award in 2017, and Engineers Australia Cairns Engineer of the Year in 2017. He was a co-recipient of four Best Paper Awards at WiSATS’2019, WCSP’2015, IEEE WCNC’2011, and ICWMC’2009. He has been awarded several prestigious fellowship titles. He was named a Queensland International Fellow (2010-2011) by the Queensland Government of Australia, an Endeavour Research Fellow (2012-2013) by the Commonwealth Government of Australia, a Smart Futures Fellow (2012-2015) by the Queensland Government of Australia, and a JSPS Invitational Fellow jointly by the Australian Academy of Science and Japanese Society for Promotion of Science (2014-2015). He was the Vice Chair of the IEEE Northern Australia Section from 2016-2020. He was an Editor for IEEE Communications Letters (2015-2017), and is currently an Associate Editor for IEEE Communications Surveys & Tutorials, IEEE Internet of Things Journal, IEEE Access, and Nature journal of Scientific Reports. He has published over 250 peer-reviewed papers including 3 books and 200 journal articles. He has severed in a large number of international conferences in the capacity of General Co-Chair, TPC Co-Chair, Symposium Chair, etc. His research interest includes the Internet of Things, wireless communications, machine learning for IoT data analytics, and computer vision.

Prof. Xiangjian He
University of Nottingham Ningbo China, China

Professor Xiangjian (Sean) He is the Director of Computer Vision and Intelligent Perception Laboratory at the School of Computer Science, University of Nottingham Ningbo China (UNNC).
He was the Professor of Computer Science and the Leader of Computer Vision and Pattern Recognition Laboratory at the Global Big Data Technologies Centre (GBDTC) at the University of Technology Sydney (UTS) from 2011-2022.  He was an IEEE Signal Processing Society Student Committee member. He was involved in a team receiving a UTS Chancellor's Award for Research Excellence through Collaboration in 2018. He has been awarded 'Internationally Registered Technology Specialist' by International Technology Institute (ITI). He led the UTS and Hong Kong Polytechnic University (PolyU) joint research project teams winning the 1st Runner-Up prize for the 2017 VIP Cup, and the champion for the 2019 VIP Cup, awarded by IEEE Signal Processing Society. In 2021, the team, PolyUTS, led by Prof Lam of PolyU and co-led by Prof He of UTS again won the 1st Runner-Up award for the 2021 VIP Cup.
He has been carrying out research mainly in the areas of computer vision, data analytics and machine learning in the previous years. He has recently been leading his research teams for deep-learning-based research for human behavious recognition, human counting and density estimation, tiny object detection, biomedical applications, saliency detection, natural language processing, cybersecurity, face and face expression recognition, road sign detection, license plate recognition, etc. He has played various chair roles in many international conferences such as ACM MM, MMM, ICDAR, IEEE BigDataSE, IEEE BigDataService, IEEE TrustCom, IEEE CIT, IEEE AVSS, IEEE ICPR and IEEE ICARCV.
Please find more information: https://research.nottingham.edu.cn/en/persons/sean-he

Prof. Andrew Sung
University of Southern Mississippi, USA

Speech Title: Security and Reality of Multimedia and Social Media

Andrew H. Sung has worked for over 38 years at several public research universities in the U.S. and is currently professor of Computer Science at the University of Southern Mississippi, where he had served as the Director of the School of Computing Sciences and Computer Engineering, 2014-2020.  Prior to 2014, he taught at the New Mexico Institute of Mining and Technology for 27 years and served as Chair of the Department of Computer Science and Engineering for more than 15 years over two periods.  He has more than 250 publications (Google h-index 44) in the areas of software engineering, multimedia forensics, information security, bioinformatics and social network analysis.  He received his PhD from the State University of New York at Stony Brook.