To check your own time zones, see The World Clock — Worldwide.

Note that many countries have daylight saving times which ends on 25 October for most and on 1 November for USA. Example for the locations of the speakers on 5 and 6 November

GMT Portugal Belgium, France, Norway, Netherlands USA, Tampa, Lafayette, Charlottesville
1 1:00 pm 1.00 pm 2.00 pm 8.00 am
2 1:30 pm 1.30 pm 2.30 pm 8.30 am
Break 2:00 pm 2.00 pm 3.00 pm 9.00 am
4 2:15 pm 2.15 pm 3.15 pm 9.15 am
5 2:45 pm 2.45 pm 3.45 pm 9.45 am


Title: A Perspective on IoT Edge Computing and On Its Challenges

Augusto Casaca, INESC-ID/ INOV, Portugal

Abstract: The massive amount of data generated in the Internet of Things (IoT) environment require platforms with considerable processing power and storage capacity, and capable of performing data analytics for the different IoT based vertical applications. These capabilities are available in the cloud, however, for some types of applications, namely those requiring real-time performance, processing in the cloud will not provide satisfactory quality of service guarantees. Therefore, in those cases, storage and processing near to the IoT devices is required and the use of edge computing is mandatory. In this talk, the present edge computing solutions for IoT will be analyzed, its challenges will be identified and possible solutions for the evolution of IoT edge computing will be discussed.

Bio: Augusto Casaca got the Ph.D. in Computer Science at the University of Manchester, UK. Full Professor at Instituto Superior Técnico, Lisbon, Portugal, presently he is a researcher at Inesc-ID and senior researcher at INOV INESC INOVAÇÃO, in Lisbon, Portugal. At the international level he has participated in more than twenty joint research projects in the areas of Broadband Communications, Networking and Smart Grid. He has more than 150 scientific publications and has chaired or co-chaired twelve international conferences on Networking. He was Chairman of IFIP Technical Committee 6 (Communication Systems) for 6 years, he is an Honorary member of IFIP Technical Committe 6 and is a Life Senior Member of IEEE. His present research interests are in the areas of wireless sensor network architecture, machine to machine communications, delay tolerant networking and communication networks for smart grids and smart water infrastructures.

Title: IoT Standardization Challenges and Possible Solutions

Georgios Karagiannis, AIOTI, Belgium

Abstract: This presentation provides an overview of the work accomplished by AIOTI (Alliance for IoT Innovation) in the area of IoT standardization. In particular, topics such as gaps in IoT standardization, IoT landscapes of SDOs, alliances and Open Source bodies, IoT reference architecture, and as well the IoT relation and impact of 5G will be addressed and discussed.

Bio: Dr. Georgios Karagiannis holds a Ph.D. degree and a M.Sc. degree in Electrical Engineering from the University of Twente, the Netherlands. From 1994 to 1998 he was working as a Researcher at the University of Twente. In 1998 he joined the Wireless Multimedia Research unit of Ericsson Eurolab Netherlands in Enschede, Netherlands, where he stayed until April 2003. From April 2003 to August 2014 he worked as Assistant Professor at the Design and Analysis of Communication Systems (DACS) group of the University of Twente. In September 2014 he joined Huawei Technologies Düsseldorf GmbH as Principal Strategist in Standardization and Industry Development. He participated in several SDOs and alliances, such as AIOTI, IETF, ETSI, BBF and OSGi Alliance. In particular, within (1) the AIOTI he is the AIOTI Steering Board Chair and the vice–chair of the AIOTI WG03, (2) the OSGi Alliance he held a position as alternate member of the Board of Directors until November 2018, (3) the BBF, he held editing positions in the context of Cloud Central Office (CloudCO) and 5G Fixed Mobile Convergence (FMC) activities.

Title: Machine Learning on Constrained IoT Edge Devices

Srinivas Katkoori, USF, United States of America

Abstract: Internet-of-Things (IoT) is a rapidly evolving technology transition that is radically changing how we live and work. In an IoT system, the edge devices collect data with varying volume, velocity, and variety. Due to limited network bandwidth, it is important to filter this raw data at the edge as much as possible. To do this intelligently without losing key information, machine learning (ML) on the edge is quintessential. Due to large scale deployment with thousands to millions of edge devices (e.g., smart city), it is natural that some or many of these devices are constrained in terms of power and performance. To run ML on the edge thus becomes challenging. In this talk, we will present our ongoing research on ML for IoT with case studies in sleep segmentation and distributed object detection.

Bio: Srinivas Katkoori is a Computer Science and Engineering faculty at the University of South Florida (USF), Tampa, FL. His research group has been actively conducting research on related topics such as low power digital VLSI design, reliable system design, Internet-of-Things (IoT), smart embedded systems, smart transportation, smart healthcare, etc. Dr. Katkoori has directed 15 doctoral dissertations and 41 Master’s Theses in the general discipline of Embedded Systems Design and Optimization. To date, he published over 125 peer-reviewed journal and conference papers. Three papers he has co-authored were nominated for best paper awards at 2003 ASP-DAC, 2014 IFIP/IEEE VLSI SOC, and 2019 AsianHOST conferences. Among notable professional service, Dr. Katkoori served on ACM SIGDA Board (2010- 2013) as Treasurer, as an Associate Editor of IEEE Transactions on VLSI (2006-10), and since 2015, he is serving as the vice-chair of IFIP Working Group 10.5 on Design and Engineering of Electronic Systems. Dr. Katkoori served as the General Chair of the 2019 2nd IFIP IoT Conference and 2020 IEEE International Symposium of Electronic Systems. Dr. Katkoori received his Ph.D. degree from the University of Cincinnati in 1998. He is a senior member of ACM and IEEE.

Title: DevOps for IoT, Challenges and Recent Advances

Jean-Yves Tigli, UNIV-CA, France

Abstract: The next IoT systems generation faces many new challenges to efficiently exploit the full potential of the IoT infrastructure. Probably one of the most difficult is the management of large IoT systems that can operate in a changing and often unpredictable environment. The ability of these systems to continuously evolve and adapt to their new environment is here critical. They have to evolve towards Smart IoT Systems (SIS) whose software development and and operation is a primary concern. First, we will introduce the main challenges of SISs development and operation. In particular, the latest results in their actuation conflicts management will be presented. We will review the recent progress made and the latest trends to facilitate SISs development and operation. In particular, we will detail the recent progress made by the European ENACT project in supporting SISs development and operation through new DevOps enablers.

Bio: Dr. Jean-Yves Tigli is Associate Professor in Computer Science and Software Engineering at the University Côte d’Azur in France since 1998. He received his PhD in Computer Science from the University of Nice Sophia Antipolis in 1996. Since the emergence of ubiquitous computing (1991), J.-Y. Tigli has been working in the field of self-adaptive software for ambient intelligence and more recently in the fields of cyber physical systems and intelligent IoT systems. He has been research leader for various French national and European projects and for numerous collaborative research projects with industrials. His recent research in his group is based on the hypothesis that IoT systems and the complex environments in which they interact cannot be dissociated and must be considered as a single complex system. The challenge of self-adaptation is then presented as a regulation of the efficiency of this system.

Title: Security and Privacy In the IoT

Elisa Bertino, Purdue, United States of America

Abstract: IoT will thus usher automation in a large number of application domains, ranging from manufacturing and energy management (e.g. SmartGrid), to healthcare management and urban life (e.g. SmartCity). However, because of its fine-grained, continuous and pervasive data acquisition and control capabilities, IoT raises concerns about security, privacy, and safety. Deploying existing solutions to IoT is not straightforward because of device heterogeneity, highly dynamic and possibly unprotected environments, and large scale. In this talk, after outlining key challenges in IoT security and privacy, we outline a security lifecycle approach to securing IoT data, and then focus on our recent work on security analysis for cellular network protocols and edge-based anomaly detection based on machine learning techniques.

Bio: Elisa Bertino is professor of Computer Science at Purdue University. Her main research interests include security, privacy, database systems, distributed systems, and sensor networks. Her recent research focuses on digital identity management, biometrics, IoT security, security of 4G and 5G cellular network protocols, and policy infrastructures for managing distributed systems. She is a Fellow member of ACM, IEEE, and AAAS. She received the 2002 IEEE Computer Society Technical Achievement Award "For outstanding contributions to database systems and database security and advanced data management systems", the 2005 IEEE Computer Society Tsutomu Kanai Award for "Pioneering and innovative research contributions to secure distributed systems", and the ACM 2019-2020 Athena Lecturer Award.

Title: The Internet of Healthcare Things

John Stankovic, UVA, United States of America

Abstract: The Internet of Healthcare Things (IOHT) has the potential to support a vision of 24/7 personalized healthcare. Smart phones, wearables, in-situ sensors, signal processing, machine learning, natural language processing, and the Internet are providing the technological backbone to achieve this vision. Many challenges remain due to numerous factors including the complexities of human health and the realisms of deployment of the technology for the average person. Several challenges, projects and solutions will be described that are implementing cognitive assistants for telemedicine, covid-19, and first responders. To further demonstrate the wide breadth of the applicability of the IOHT and several additional realistic challenges, we will also briefly discuss projects underway for obesity and dementia.

Bio: Professor John A. Stankovic is the BP America Professor in the Computer Science Department at the University of Virginia and Director of the Link Lab. He is a Fellow of both the IEEE and the ACM. He has been awarded an Honorary Doctorate from the University of York for his work on real-time systems. He won the IEEE Real-Time Systems Technical Committee's Award for Outstanding Technical Contributions and Leadership. He also received the IEEE Technical Committee on Distributed Processing's Distinguished Achievement Award (inaugural winner). He has seven Best Paper awards, including one for ACM SenSys 2006. Stankovic has an h-index of 118 and over 64,000 citations. In 2015 he was awarded the Univ. of Virginia Distinguished Scientist Award, and in 2010 the School of Engineering’s Distinguished Faculty Award. He also received a Distinguished Faculty Award from the University of Massachusetts. He has given more than 40 Keynote talks at conferences and many Distinguished Lectures at major Universities. He was the Editor-in-Chief for the IEEE Transactions on Distributed and Parallel Systems and was co-founder and co-editor-in-chief for the Real-Time Systems Journal and the ACM Transactions on Computing for Healthcare. Prof. Stankovic received his PhD from Brown University.

Title: The Emerging Role of IIoT, Edge Computing and AI in Digitising Industry

Ovidiu Vermesan, SINTEF, Norway

Abstract: Modern production processes in the manufacturing and process industries have reached a critical level of complexity. Stable operation and continuously high products and services quality are maintained by continuous monitoring, inspection, optimisation and adaption. Industrial Internet of Things (IIoT) and edge computing are applied in the industrial sectors to enable the real-time collection, connectivity, processing, analysis of data at the edge and combined with AI increase the capabilities for monitoring, processing and intelligence of different industrial processes and applications and improve the use of analytics and predictive maintenance. The talk will touch on the state of play of the IIoT, edge computing and AI in digitising industry and present several trends for addressing the technologies stack layers and architectural approaches for the integration of these technologies in the different industrial sectors.

Bio: Dr. Ovidiu Vermesan holds a PhD degree in microelectronics and a Master of International Business (MIB) degree. He is Chief Scientist at SINTEF DIGITAL, Oslo, Norway. His research interests are in the area of embedded electronics, communication systems, connectivity IoT/IIoT platforms and convergence of technologies. He is currently working with projects addressing integrated autonomous/automated systems, intelligent connectivity, cognition systems, security, and IoT/IIoT, edge computing and AI with applications in green mobility, energy, and smart environments. He has authored or co-authored over 85 technical articles and conference papers. He is actively involved in the activities of the Electronic Components and Systems for European Leadership (ECSEL) Joint Undertaking and coordinated large-scale projects focussing on developing electronics and communication solutions in various application areas such as energy (ARTEMIS-Internet of Energy), electromobility/electric vehicles architectures (ARTEMIS-POLLUX) and IIoT/AI/Edge Computing. Dr Vermesan is actively participating in national and international/H2020 EU initiatives and fora focusing on strategic work for the development of future ICT technologies and Digitising Industry processes. He is an active participant in the IoT European Research Cluster (IERC), IoT-European Large-Scale Pilots Programme and the Alliance for Internet of Things Innovation (AIOTI). He is currently working in ECSEL Joint Undertaking projects AutoDrive - Advancing fail-aware, fail-safe, and fail-operational electronic components, systems, and architectures for fully automated driving to make future mobility safer, affordable, and end-user acceptable and AI4DI - Artificial Intelligence for Digitizing Industry.

Title: How Can We Touch Over The Internet?

Vijay Rao, TUD, Netherlands

Abstract: Tactile Internet is envisioned to enable haptic communications over the Internet. This vision answers the question of "Can we touch over the Internet?". The next question remains as to how to realize Tactile Internet. In this talk, I will present a few hopefully compelling use-cases. The talk will also cover the current challenges, progress being made in several fronts including the IEEE standardization, and the tools needed for enabling Tactile Internet.

Bio: Vijay S. Rao is part of the Cognizant IoT Center of Excellence. He is leading the R&D programs for Cognizant in the Netherlands in the areas of Tactile Internet, AI/ML at the edge, swarm robotics, and 5G. His current focus is on developing new technical capabilities and offerings in the IoT domain, including post-COVID solutions. Prior to Cognizant, he was a post-doctoral fellow in the ENSys group at Delft University of Technology (TUDelft), during which he also contributed as the lead software developer on TUDelft’s lunar rover mission. He received his Ph.D. and M.Sc. (cum laude) from TUDelft. He has several top peer-reviewed publications, including best paper awards at top venues, and holds two patents. He is a contributor to the IEEE standards on Tactile Internet (P1918.1) and nano-communications (P1906.1)