Virginia Tech, USA
Tom Hou is the Bradley Distinguished Professor of Electrical and Computer Engineering at Virginia Tech, USA. He received his Ph.D. degree from NYU Tandon School of Engineering (formerly Polytechnic University) in 1998. His current research focuses on developing innovative solutions to complex science and engineering problems arising from wireless and mobile networks. He is particularly interested in exploring new performance limits at the network layer by exploiting advances at the physical layer. In recent years, he has been actively working on real-time optimization based on GPU platform and solving large-scale complex optimization problems for various wireless networks. He is also interested in wireless security. Prof. Hou was named an IEEE Fellow for contributions to modeling and optimization of wireless networks. He has published two textbooks: Cognitive Radio Communications and Networks: Principles and Practices (Academic Press/Elsevier, 2009) and Applied Optimization Methods for Wireless Networks (Cambridge University Press, 2014). Prof. Hou’s research was recognized by five best paper awards from the IEEE and two paper awards from the ACM. He holds five U.S. patents. In addition to his research activities, Prof. Hou has also been active in the research community. He was an Area Editor of IEEE Transaction on Wireless Communications (Wireless Networking area), and an Editor of IEEE Transactions on Mobile Computing, IEEE Journal on Selected Areas in Communications – Cognitive Radio Series, and IEEE Wireless Communications. Currently, he is an Editor of IEEE/ACM Transactions on Networking and ACM Transactions on Sensor Networks. He is the Steering Committee Chair of IEEE INFOCOM conference – the largest and top ranked conference in networking. He was a member of the Board of Governors as well as a Distinguished Lecturer of the IEEE Communications Society.
OSA Fellow, SPIE Fellow
Nanyang Technological University, Singapore
Prof Shum received his PhD degree in Electronic and Electrical Engineering from the University of Birmingham, UK, in 1995. In 1999, he joined the School of Electrical and Electronic Engineering, NTU. Since 2014, he has been appointed as the Director of Centre for Optical Fibre Technology and was the chair, committee member and international advisor of many international conferences. He was also the founding member of IEEE Photonics Society Singapore Chapter (formerly IEEE LEOS). He is currently the chairman of OSA Singapore Chapter. Prof Shum has published more than 500 journal and conference papers with his research interests being in the areas of speciality fibres and fibre-based devices. His H-index is 38. In recent few years, his publications have been cited about 500-800 times per year. He is SPIE Fellow and OSA Fellow.
University of Oslo, Norway
Yan Zhang is a Full Professor at the Department of Informatics, University of Oslo, Norway. His current research interests include: next-generation wireless networks leading to 5G Beyond, green and secure cyber-physical systems (e.g., transport, smart grid, and blockchain). He received a Ph.D. degree in School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore. He is an Associate Technical Editor of IEEE Communications Magazine, an Editor of IEEE Network Magazine, an Editor of IEEE Transactions on Vehicular Technology, an Editor of IEEE Transactions on Green Communications and Networking, an Editor of IEEE Communications Surveys & Tutorials, an Editor of IEEE Internet of Things Journal, and an Editor of IEEE Vehicular Technology Magazine. He serves as chair positions in a number of conferences, including IEEE GLOBECOM 2017, IEEE VTC-Spring 2017, IEEE PIMRC 2016, IEEE CloudCom 2016, IEEE ICCC 2016, IEEE CCNC 2016, IEEE SmartGridComm 2015, and IEEE CloudCom 2015. He is IEEE VTS (Vehicular Technology Society) Distinguished Lecturer. He is a Fellow of IET. He serves as the Chair of IEEE ComSoc TCGCC (Technical Committee on Green Communications & Computing). He received the award 2018 “Highly Cited Researcher” according to Clarivate Analytics.
Topic: Mobile Edge Computing and AI driven IoT
Abstract: In this talk, we will first present the key concepts and main principles related to mobile edge computing and also the synergy between edge computing and AI. Then, we mainly focus on key challenges and solutions related to mobile edge computing and AI in 5G beyond networks and IoT. In such contexts, we will share our recent studies and results related to content distribution and caching, resource management, and computation offloading problems. We will also point out several open research questions for further study.
Senior Lecturer and the Associate Dean
Australian National University (ANU), Canberra, Australia
Dr. Nan Yang is a Senior Lecturer and the Associate Dean (High Degree Research) of the College of Engineering and Computer Science, Australian National University (ANU), Canberra, Australia. He received his Ph.D. degree from Beijing Institute of Technology, China, in 2011 and joined the ANU in 2014. He received the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2014. Also, he is the co-recipient of Best Paper Awards at the IEEE GlobeCOM 2016 and the IEEE VTC Spring 2013. He is currently serving on the editorial board of the IEEE Transactions on Wireless Communications, IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, IEEE Transactions on Vehicular Technology, and Wiley’s Transactions on Emerging Telecommunications Technologies. His research interests include ultra-reliable and low-latency communications, millimetre wave and terahertz communications, cyber-physical security, massive multiple-antenna systems, and molecular communications..
Topic: Empowering 5G and Beyond Era with Ultra-Reliable and
Abstract: The fifth generation (5G) and beyond networks are expected to shape the way we live, work, and communicate with each other. As one of the three pillars for the 5G and beyond era, ultra-reliable and low-latency communications (URLLC) will play a pivotal role since it aims to enable support the mission critical services which have strict requirements in terms of latency (a few milliseconds end-to-end latency) and reliability (99.999%). Undoubtedly, such requirements pose new research challenges in the design of air interface, resource allocation, network protocol, core networks and the integration with existing wireless/wired communication systems. Against this background, this keynote speech will describe the role of URLLC in the 5G and beyond era, summarise various sources of end-to-end delay in current wireless systems, and introduce promising URLLC techniques, especially from a physical layer perspective. The keynote speech will provide some valuable insights for wireless engineers to design and implement mission critical communications networks in the near future for supporting unprecedented applications, e.g. Internet of Vehicles and Smart Wireless Factory.