W2: 5th Workshop on Connected Intelligence for IoT and Industrial IoT Applications- C3IA

Co-chair: Chehri Abdellah, University of Quebec in Chicoutimi, Canada
Co-chair: Gwanggil Jeon, Incheon National University, South Korea
Co-chair: Imran Ahmed, Anglia Ruskin University, UK
Co-chair: Marco Anisetti, University of Milan, Italy

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.

 

Co-chair Bio:

 

Chehri Abdellah

Bio: Dr A. Chehri is a professor and researcher at the University of Quebec- UQAC, Canada and . 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.

Gwanggil Jeon

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.

Imran Ahmed

Bio: Dr. Imran Ahmed (Senior Member, IEEE) received a Ph.D. degree in Computer Science from the University of Southampton, Southampton, U.K, in 2014. Currently, he is working at the School of Computing and Information Science, Anglia Ruskin University, Cambridge, UK. His research interests mainly include artificial intelligence, deep learning, machine learning, data science, computer vision. He has attended several international conferences in these areas. He has published numerous articles in refereed journals and conference proceedings, including IEEE Access, IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal, International Journal of Machine Learning and Cybernetics, IEEE/CAA Journal of Automatica Sinica, Journal of Ambient Intelligence and Humanized Computing, Multimedia Tools and Applications, Cluster Computing, IEEE Annual Ubiquitous Computing, Computer Communications, Electronics & Mobile Communication Conference (UEMCON), ACM/SIGAPP Symposium On Applied Computing at Pau, France, and many others. He has also been acting as a reviewer of journals, such as IEEE Transactions on Industrial Electronics, IEEE Access, Journal of Ambient Intelligence, Elsevier, etc.

Marco Anisetti

Bio: Dr. M. Anisetti is an Associate Professor at the Università degli Studi di Milano. Marco’s research interests are in the area of Computational Intelligence and its application to the design of complex systems and services. Recently, he has been investigating the adoption of Computational Intelligence and Artificial Intelligence techniques in the area of Security mechanisms for distributed systems, with particular consideration of Cloud and SOA security and software/service certification where Computational Intelligence provides new notions of ordering and matching of security properties. He is currently applying Big Data analytics to compute security and assurance metrics of Cloud systems and IoT systems in order to verify compliance to standards and policies. He has published several papers in journals and conference proceedings, and has served in the program committee of several international conferences.

 

Deadlines:
Workshop paper submissions due: 14 August 2022
Acceptance notification: 20 August 2022
Final paper submission due: 24 August 2022

To submit a paper to this workshop, please visit: https://vtc2022f-rr-wks.trackchair.com/track/2128