The internet of things refers to collection of internet connected computational devices embedded into the objects of the physical world. It is expected that some of these devices perform sensing and actuation functionality. Visions of the internet of things often refer to a world were many (or all) the physical objects we interact with are part of the internet of things. In recent years the IoT paradigm had experienced significant hype, but also faced some stinging criticisms outlining challenges to its implementation. Some of these challenges were known and expected. Other ones are the type that would have been difficult to foresee ten years ago. Yet another ones are the kind which we could have definitely foresee, but we did not. For instance, we were relatively good at predicting the technical challenges associated with the IoT. The security and privacy issues were known and expected, yet certain attacks against IoT systems took us by surprise. At this moment it is clear that the business cases and economic models associated with different IoT applications were not clearly thought through. And essentially nobody anticipated "day two" issues - how are we going to operate, maintain and update an IoT environment once it is deployed? In this talk we discuss some challenges faced by the IoT world in 2017, identify research objectives and try to draw some lessons from them.

The paradigm of ageing-in-place - where the elderly live and age in their own homes, independently and safely, with care provided by the community - is compelling, especially in societies that face both shortages in institutionalized eldercare resources, and rapidly ageing populations. When the number of elderly who live alone rises rapidly, support and care from their communities become increasingly crucial. Internet of Things (IoT) technologies, particularly in-home monitoring solutions, are becoming mature. They can become the fundamental enabler for smart community eldercare.

Cities are increasingly providing public access to a variety of transportation-related "big data", such as the real-time location of taxis, crowdedness level of buses and arrival times of trains. In this talk, Archan will introduce the concept of socio-physical analytics, which fuses such transportation-related data across multiple modalities (such as buses, taxis and parking garages) with social media sensing to identify and characterize urban micro-events. Archan will describe two distinct families of event detection, both of which aid the goal of improved understanding and optimizing of personal urban mobility. One combines such transportation data with sensor data from personal mobile devices (of a fraction of commuters) to obtain novel insights into commuting experiences (e.g., the waiting time at taxi stands). The other combines multi-modal transportation data (e.g., occupancy levels of buses, dropoff and pickup rates of taxis) with social media data (e.g., Twitter & Foursquare) to both identify and localize urban micro-events.

Abstract: 5G wireless communication networks are expected to fulfill the demand for higher data rates, lower latency, and/or massive connectivity of a growing number of users/devices exploiting a variety of wireless applications. This envisioned rapid increase in the use of wireless services lead the wireless research community to start looking at new technologies to address problems related to the radio-frequency (RF) spectrum exhaustion. This includes the development of (i) new techniques and concepts such as massive multiple input multiple output (MIMO) systems and heterogeneous networks to improve the spectral efficiency at the link and network layers, respectively, and (ii) novel schemes to better utilize the unregulated bandwidth in particular in the upper millimeter wave, THz, and optical portion of the spectrum. This talk will first go briefly over the vision and goals of 5G wireless communication networks. Then it presents some of these emerging enabling technologies that need to be developed to pave the way towards the successful roll-out and operation of these future wireless networks.

Bio: Mohamed-Slim Alouini (S'94, M'98, SM'03, F'09) was born in Tunis, Tunisia. He received the Ph.D. degree in Electrical Engineering from the California Institute of Technology (Caltech), Pasadena, CA, USA, in 1998. He served as a faculty member in the University of Minnesota, Minneapolis, MN, USA, then in the Texas A&M University at Qatar, Education City, Doha, Qatar before joining King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah Province, Saudi Arabia as a Professor of Electrical Engineering in 2009.

Prof. Alouini is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Thomson ISI Web of Knowledge list of Highly Cited Researchers and of the Elsevier/Shanghai Ranking list of Most Cited Researchers, and an IEEE Distinguished Lecturer of the IEEE Communications Society. He is a recipient of the Recognition Award of the IEEE ComSoc Wireless Technical Committee in 2016 and a co-recipient of best paper awards in ten IEEE conferences (including ICC, GLOBECOM, VTC, PIMRC, and DySPAN). His current research interests include the modeling, design, and performance analysis of wireless communication systems.

First half of the short paper poster presentations. (Presenting 22 on Tuesday and 38 on Wednesday.)

Abstract: What happens when we deploy ICT increasingly in power systems and exploit their characteristics jointly in a cyber-physical manner? In this talk, I will overview some of the security implications, in the form of both challenge and opportunity, as ICT intelligence, particularly at the edge, meets the physical laws of power flows that pervade the system.

Bio: David Yau obtained the Ph.D. from the University of Texas at Austin in computer science. He is now Professor in the Information Systems Technology and Design pillar of the Singapore University of Technology and Design. Since 2010, he has been Distinguished Scientist at the Advanced Digital Sciences Center, Singapore, where he is Cybersecurity Program Director. He is also Qiushi Chaired Professor in the Department of Control, Zhejiang University, China. He was Assistant Professor then Associate Professor of Computer Science at Purdue University (West Lafayette). In 2004, he was on sabbatical leave as Associate Professor, Computer Science and Engineering, CUHK.

David is interested in networking and networked cyber-physical systems. A current research focus is the security and privacy of cyber-physical systems such as smart grids. He received a U.S. NSF CAREER award and Best Paper awards in 2017 IEEE/ACM Int'l Conf. Information Processing in Sensor Networks (IPSN) and 2010 IEEE Int'l Conf. Multi-sensor Fusion and Integration (MFI). He was also Best Paper finalists in several IEEE/ACM conferences including IEEE PerCom and ACM BuildSys.

He serves on the editorial boards of Big Data Research (Elsevier) and IEEE Trans. Network Science and Engineering, and is Associate Editor of IEEE Trans. Smart Grid, Special Section on Smart Grid Cyber-Physical Security (2017). He was also Associate Editor of IEEE/ACM Trans. Networking. David has served in technical and organizational roles of numerous IEEE conferences in networking, including TPC co-Chair of IEEE ICNP and IEEE IWQoS. He serves in the Management Committee of the Singapore Cybersecurity Consortium and chairs the SCC's SIG in IoT and CPS security.

Second half of the short paper poster presentations. (Presenting 22 on Tuesday and 38 on Wednesday.)

supported by TCCC