July 29, 2019 (Monday):
Professor Dr.-Ing. habil. Falko Dressler
Distributed Embedded Systems (CCS Labs)
Heinz Nixdorf Institute, Paderborn University, Germany
TITLE: "From Vehicular Networking to 5G and Mobile Edge Computing and Back"
(by Falko Dressler)
We will primarily discuss the challenges and opportunities of the connected cars vision in relation to the need for distributed data management solutions ranging from the vehicle to the mobile edge and to the data centers. Vehicular networking solutions have been investigated for more than a decade but recent standardization efforts just enable a broad use of this technology to build large scale Intelligent Transportation Systems (ITS). Modern 5G networks promise to provide all means for communication in this domain, particularly when integrating Mobile Edge Computing (MEC). However, it turns out that despite the many advantages, it is unlikely that such services will be provided with sufficient coverage. As a novel concept, vehicle micro clouds have been proposed that bridge the gap between fully distributed vehicular networks based on short range device to device communication and 5G-based infrastructure. Using selected application examples, we assess the advantages of such systems. We also shed light on the potentials of a vehicular cloud based on parked vehicles as a spatio-temporal network and storage infrastructure.
BIO - Falko Dressler
Falko Dressler is full professor of computer science and chair for Distributed Embedded Systems at the Heinz Nixdorf Institute and the Dept. of Computer Science, Paderborn University. He received his M.Sc. and Ph.D. degrees from the Dept. of Computer Science, University of Erlangen in 1998 and 2003, respectively. Dr. Dressler is associate editor-in-chief for Elsevier Computer Communications as well as an editor for journals such as IEEE Trans. on Mobile Computing, IEEE Trans. on Network Science and Engineering, Elsevier Ad Hoc Networks, and Elsevier Nano Communication Networks. He has been guest editor of special issues in IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine, Elsevier Ad Hoc Networks, and many others. He has been chairing conferences such as IEEE INFOCOM, ACM MobiSys, ACM MobiHoc, IEEE VNC, IEEE GLOBECOM, and many others. He authored the textbooks Self-Organization in Sensor and Actor Networks published by Wiley & Sons and Vehicular Networking published by Cambridge University Press. He has been an IEEE Distinguished Lecturer as well as an ACM Distinguished Speaker. Dr. Dressler is an IEEE Fellow as well as an ACM Distinguished Member, and member of the German computer science society (GI). He also serves on the IEEE COMSOC Conference Council and the ACM SIGMOBILE Executive Committee. His research objectives include adaptive wireless networking, self-organization techniques, and embedded system design with applications in ad hoc and sensor networks, vehicular networks, industrial wireless networks, and nano-networking.
July 30, 2019 (Tuesday):
Professor Dr. Chai Keong Toh, FIEEE
National Tsing Hua University Chair Professor &
Council of GLG, USA
TITLE: "THE RISE OF SMART CITIES"(by CHAI K TOH)
The 21st century has witnessed the active involvement by industries and government sectors to design, architect, build, test, and implement the vision of future Smart Cities. "Smart Cites" is now a multi-million or even multi-billion-dollar topic of the day. Globally, there are over 1000 smart city projects in execution. Much like Elon Musk's vision of realizing private space exploration and hyperloop trains for California, future Smart Cities have a lot of challenges and issues to overcome, spanning across the various verticals of smart health, transport, living, energy, and citizen services and cutting across different technologies of A.I., data analytics, cloud, big data, sensors, Internet of Things, wireless, 5G, security, etc. In this keynote speech, I shall present the definition, evolution, vision, motivation, atomic structure, key agenda, standards, technologies, platform, architectures, and challenges associated with realization of future smart cities. The race on building smart cities has begun.
BIO - CHAI K TOH
Dr. Toh was Group CTO and Assistant Chief Executive of Infocomm Development Authority of Singapore. He was also the VP and CTO of Singapore Power Telecom Ltd. He co-led the Singapore Smart Nation program, along with smart energy, smart utilities, smart homes, smart transport, green data centers, and smart data analytics programs. He has served on various ministerial boards and signed MoUs with major ICT companies, such as IBM, Dell, HP, Huawei, etc. Earlier in the USA, he was the Director of Research at TRW Systems Inc. (now Northrop Grumman). In 2004, he was appointed a tenured Chair Professor at the University of London, UK. Currently, he is the Tsing Hua Honor Chair Professor of EECS (since 2011) and a Council Expert with GLG Group, USA. He is an IEEE Fellow (2009), AAAS Fellow (2009), BCS Fellow (2004), IET Fellow (2004) and received the IET Ambrose Fleming Medal (2009) and IEEE Kiyo Tomiyasu Award (2005) for his pioneering contributions to mobile ad hoc networks. He authored "Ad Hoc Mobile Wireless Networks" - a prentice hall best seller in 2001 and "Wireless ATM and Ad Hoc Networks" in 1997. He is founder and co-Editor-in-Chief of IET Smart Cities Journal and an advisor to Smart Cities Council USA. He currently serves on the editorial board of the UK "Proceedings of The Royal Society Part A" in Computer Science. His most recent work includes introducing the concept of wireless digital traffic signs and the use of neural networks to capture driving behavior. He received his PhD in Computer Science from Cambridge University, UK in 1996. He has published over 100 papers and his Google Scholar profile can be found at: https://scholar.google.com.sg/citations?user=YTwSsH4AAAAJ&hl=zh-CN&oi=ao. He can be reached at: email@example.com
July 31, 2019 (Wednesday):
Mudhakar Srivatsa, PhD
Distinguished Research Staff Member
IBM T. J. Watson Research Center
TITLE: "AI @ Edge" (by Mudhakar Srivatsa)
Despite the power to process massive volumes of data and derive insightful insights, artificial intelligence applications have one major drawback - the brains are located thousands of miles away. Edge computing is a new paradigm in which the resources of a small data center are placed at the edge of the Internet, in close proximity to mobile devices, sensors, and end users, and the emerging Internet of Things. This talk will outline key applications ranging from semiconductor chip defect detection to saving rhinos and protecting sensitive information on conversational IoT devices and cover key enabling technologies that underpin these applications.
BIO - Mudhakar Srivatsa
Mudhakar Srivatsa is a distinguished research staff member and manager at the Distributed AI department in IBM T. J. Watson Research Center. His work is at the intersection of AI and edge computing with focus on learning actionable insights over large scale spatiotemporal data. He has authored over 100 research papers, 50 granted US patents, recipient of several outstanding technical achievement awards at IBM. He serves as the editor IEEE Transactions on Emerging Topics in Computing and Springer Wireless Networks.