Title: The role of Digital Twins in the manufacturing and goods processing evolution towards Industry 5.0
The keynote will start introducing the Digital Twin concept, why it is important and what are the main 5G verticals that are supposed to benefit from it, with special attention to the Industrial Internet of Things (IIoT) domain, which is currently evolving towards the at the moment only sketched Industry 5.0 paradigm. Main advantages and challenges of Digital Twins will be then discussed, also highlighting the potential benefits from a business point of view to the manufacturing and good processing sector.
Valerio Frascolla (MSc and PhD in Electronic Engineering) is Director of Research and Innovation at Intel and had been working at Ancona University, Comneon, Infineon, and as reviewer for the European Commission. He serves as chairman of several workgroups in European associations and is board of directors member of the BDVA association. He has expertise in wireless systems architecture and protocols, requirements management, and standardization, his main research interest being 5G and beyond system design, with focus on spectrum management, AI, and edge technologies. He is author of 70+ publications, reviewer for 30+ journals, has participated in the TPC of 75+ conferences.
Speaker: Dr. Ajit S. Bopardikar (Samsung, India)
Title: Smartphone Based Eye Care: Current Trends and a Glimpse into the Future
As per the WHO at least 2.2 billion individuals globally have some form of vision impairment. Further, diseases such as glaucoma, macular degeneration and diabetic retinopathy account for 30% of moderate to severe vision impairment cases. A large proportion of these patients belong to communities and regions with limited to low access to care giving infrastructure. This is compounded by the fact that much of the infrastructure required to detect and diagnose eye diseases is either costly, bulky or intricate so that its reach and utilization is limited. Research into low-cost and portable systems to screen for and possibly diagnose eye diseases has thus been an area of active research. Custom made portable devices have proven to be very effective in this regard. However, they are costly and very specific to diagnosing, monitoring or screening a particular disease. Can devices such as smartphones with their inherent portability, computing power and gamut of sensors be effectively deployed to detect vision impairment? Is it possible to do so with minimal additional or customized hardware and with only commercially available accessories?
Smartphones and other wearable are already in active use in the areas of fitness and general health monitoring. A plethora of applications have been built around the rich range of sensor available in them. In recent years they have been instrumental in the development of portable, low cost systems for capturing eye health related data as well as for screening and monitoring of eye health. Mobile based systems to capture and analyze retinal images as well and those for measuring refractive errors in an individual’s eyes are examples of such systems.
In this talk I will present an overview of these systems. I will further present the development and performance analysis of GearVision, a visual perimetry system that uses commercially available virtual reality headset and a compatible smartphone to transcribe the visual perimetry tests to a VR setting. Finally, I will discuss the directions for future work including on-device machine learning for automatic screening.
Dr. Ajit S. Bopardikar (Senior Chief Engineer, Samsung R&D Institute, Bangalore, India) graduated from the University of Mumbai with a B. E in Electronics Engineering in 1991. He obtained his M. Sc. in Electrical Communication Engineering from the Indian Institute of Science, Bangalore in 1995 and PhD from Center for Imaging Science, Rochester Institute of Technology in 2000. He was a postdoctoral researcher at the Norwegian University of Science and Technology from 2003-05 where he researched on image quality and video processing. Over the last 20 years he has actively pursued a career in research diversifying into areas including signal, image and video processing, health screening and monitoring systems and health data analysis. He is currently with Samsung R&D Institute India-Bangalore (SRI-B) where is responsible for developing University research collaborations. His current research is in developing systems and methods for screening and monitoring systems for eye health. Ajit is a senior member of the IEEE and serves as a reviewer for several leading conferences and journals including, IEEE ICIP, Journal of Electronic Imaging and Journal of Optical Engineering. He is a co-author of a textbook on Wavelet Transforms (with Raghuveer M. Rao), an author or co-author of over 40 research publications and an inventor on 5 patents.
Speaker: Prof. Mohsen Guizani, FIEEE (Qatar University)
Title: Internet of Things (IoT) Applications using Pervasive AI
As the Internet-of-Things devices are being widely adopted in all fields, such as smart houses, healthcare, and transportation, large amounts of data are being collected, shared, and processed. This fact raises many challenges on how to make the best use of this huge amount of data to improve the IoT systems’ security using artificial intelligence, taking into consideration the resource limitations in IoT devices and issues regarding data privacy. Different techniques have been studied and developed throughout the years. For example, Federated Learning (FL), which is an emerging learning technique that is very well known for preserving and respecting the privacy of the collaborating clients’ data during model training. The concepts of FL and Hierarchical Federated Learning (HFL) are evaluated and compared with respect of detection accuracy and speed of convergence, through simulating an Intrusion Detection System for Internet-of-Things applications. Different kinds of datasets (e.g., NSL-KDD) are used in our work to prove that our developed schemes are superior compared to other schemes in terms of training loss, testing accuracy, and speed of convergence. HFL also showed its efficiency over FL in reducing the effect of the non-identically and independently distributed data on the collaborative learning process.
In this Keynote, we review the current efforts by experts around the world to mitigate some of these challenges. Then, we showcase our research activities to contribute to these efforts and advocate possible solutions using AI and other tools. We provide ways on how to manage the available resources intelligently and efficiently in order to offer better conditions and provide improved services. Finally, we discuss some of our research results to support a variety of applications including how to secure these devices for successful healthcare service delivery in different aspects.
Mohsen Guizani (S’85–M’89–SM’99–F’09) received the B.S. (with distinction), M.S. and Ph.D. degrees in Electrical and Computer engineering from Syracuse University, Syracuse, NY, USA. He is currently a Professor at the Computer Science & Engineering Department in Qatar University, Qatar. Previously, he worked in different institutions: University of Idaho, Western Michigan University, University of West Florida, University of Missouri-Kansas City, University of Colorado-Boulder, and Syracuse University. His research interests include wireless communications and mobile computing, applied machine learning, cloud computing, security and its application to healthcare systems. He was elevated to the IEEE Fellow in 2009. He was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2019 and 2020. Dr. Guizani has won several research awards including the “2015 IEEE Communications Society Best Survey Paper Award” as well 4 Best Paper Awards from ICC and Globecom Conferences. He is the author of nine books and more than 800 publications. He is also the recipient of the 2017 IEEE Communications Society Wireless Technical Committee (WTC) Recognition Award, the 2018 AdHoc Technical Committee Recognition Award, and the 2019 IEEE Communications and Information Security Technical Recognition (CISTC) Award. He served as the Editor-in-Chief of IEEE Network and is currently serves on the Editorial Boards of many IEEE journals/Transactions. He was the Chair of the IEEE Communications Society Wireless Technical Committee and the Chair of the TAOS Technical Committee. He served as the IEEE Computer Society Distinguished Speaker and is currently the IEEE ComSoc Distinguished Lecturer.