W5: Connected Intelligence for IoT and Industrial IoT Applications (C3IA)

Organizer: Abdellah Chehri
Organizer: Gwanggil Jeon
Organizer: Paul Fortier
Organizer: Ahmed Awais

Abstract: Nowadays, industrial enterprises and companies are addressing the challenge of transforming the Industrial IoT (IIoT) ideas, Industry 4.0, Cyber-Physical Systems (CPS), and similar concepts into reality. In the Industry 4.0 era, various data management research challenges have to be addressed. Huge amounts of heterogeneous sensor data have to be processed in real-time to control the production machines. Data processing through smart devices is more significant compared to information processing capacity. Nowadays, data becomes humongous, even coming from a single source. Besides, unstructured data from production reports or external sources must also be integrated to analyze and optimize the production process. Therefore, when data emanates from all heterogeneous sources distributed over the globe, its magnitude makes it harder to process up-to a needed scale.
The world has seen many breakthroughs in machine learning and artificial intelligence research. By integrating the advances in smart devices, and big data analysis with the advances in machine learning, the future role of smart systems, networks, and applications is becoming limitless. It’s expected to revolutionize the future of the world within the next few years.

Bio: Dr A. Chehri is a professor and researcher at the University of Quebec- UQAC, Canada. He received his Ph.D. in 2009 from Laval University, Quebec, Canada. He joined the University of Ottawa in July 2009 as a post-doc fellow and member of Wireless Heterogeneous Sensor Networks in the e-Society WiSense project. From 2012 to 2014, he was with BLiNQ Networks in Kanata, where he was involved in the development and testing of dual-carrier NLOS TDD backhaul for small-cell 4G/LTE mobile applications. He worked as an adjunct assistant professor at the University of Ottawa and as a Manager of Next-Generation Network (NGN) /VoIP & Emerging Technologies at Bell Canada. Dr. Chehri received many prestigious awards, including, Dean’s Scholarship Award, Postdoctoral Studies (University Ottawa), Scholarship Fund to Support Success (Laval University), Japan Society for the Promotion of Science, MITACS, NSERC Postdoctoral Fellowship. Dr. Chehri served as a workshop co-chair of the first IEEE International Humanitarian Technology Conference (IEEE ICC 2012). He served as guest editor and severed as a technical reviewer for several international conferences and journals.

Bio: Dr. G. Jeon received his B.S., M.S., and Ph.D. degrees from Hanyang University, Korea, in 2003, 2005, and 2008, respectively. From 2009 to 2011, he was a postdoctoral fellow at the University of Ottawa, Canada, and from 2011 to 2012, he was an assistant professor at Niigata University, Japan. He is a professor at Xidian University, China and Incheon National University, South Korea. His research interests fall under the umbrella of image processing, deep learning, artificial intelligence, smart grid, and Industry 4.0.

Bio: Dr. Paul Fortier received his B.Sc. degree and his M.Sc. degree in Electrical Engineering from Laval University in 1982 and 1984, respectively and his M.S. degree in Statistics and his Ph.D. degree in Electrical Engineering from Stanford University in 1987 and 1989, respectively. Since 1989, he has been with the Department of Electrical and Computer Engineering at Université Laval where he is currently a full professor. From 1991 to 1996, he was program director for the B.Sc. degree in Computer Engineering and from 1997 to 2003 he was Chairman of the Department of Electrical and Computer Engineering. From 2003 to 2007, he was Associate Dean for Development and Research at the Faculty of Science and Engineering. From 2007 to 2009, he was Vice-president Scientific Affairs and Partnerships at FQRNT (Quebec’s granting agency). From 2010 to 2012, he was Vice-President for Research and Innovation at Laval University. His research interests include digital signal processing for communications and the study of complexity and performance trade-offs in hardware implementations, with applications in wireless. Dr. Fortier is a Fellow of the Engineering Institute of Canada, a Fellow of the Canadian Academy of Engineering and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).

Bio: Dr. A. Ahmad received his Ph.D. in Computer Science and Engineering from Kyungpook National University, Korea in Feb 2017. He is currently a Senior Researcher at the Department of Computer Science, UNIMI, Italy. Previously, he was Assistant Professor at Yeungnam University, Korea. His current research work is on demosaicing and denoising, ML, DL, AI, feature extraction, Big Data Analytics, SIoT/IoT, Human dynamics. He serves as a Guest Editor and reviewer for many IEEE/Elsevier/ACM/Springer Journals. He has the privilege to publish his work in reputed IEEE Magazines, IEEE Transactions/ACM Transactions/Elsevier Journals, IEEE INFOCOM, GLOBECOM, IEEE ICC, and IEEE LCN.

Deadlines
Workshop paper submission due EXTENDED: 10 January 2021
Acceptance notification: 31 January 2021
Final paper submission due Extended: 4 March 2021

To submit a paper to this workshop, please visit: https://vtc2021s-rr-wks.trackchair.com/track/1951