W6: 9th Workshop on Connected Intelligence for IoT and Industrial IoT Applications- C3IA
Co-Organizer: Abdellah Chehri, Royal Military College of Canada, Canada
Co-Organizer: Muhammad Ali Jamshed, University of Glasgow, UK
Co-Organizer: Rachid Saadane, Pr. Hassania School of Public Works, Morocco
Co-Organizer: Imran Ahmed, Anglia Ruskin University, UK
Abstract: In the current landscape, industrial enterprises are confronted with the imperative of actualizing concepts such as Industrial IoT (IIoT), Industry 5.0, and Cyber-Physical Systems (CPS). As we transition into the Industry 5.0 era, there are significant challenges in data management that must be urgently addressed. The requirement to process extensive volumes of heterogeneous sensor data in real-time to control production machinery is paramount. Traditional information processing capacities are being outstripped by the capabilities of smart devices, resulting in an exponential increase in data volumes even from singular sources. Additionally, the need to integrate unstructured data from production reports and external sources is critical for the optimization and analysis of production processes. This global distribution of data further complicates processing, underscoring the importance of advanced solutions to scale effectively. The potential of recent advancements in machine learning and artificial intelligence is immense. The integration of smart devices, big data analytics, and machine learning is on the brink of revolutionizing the future of smart systems, networks, and applications. By combining hardware, software, data collection, and advanced data analytics techniques such as predictive and prescriptive analysis, these systems can harness real-time insights to significantly enhance industrial performance. Moreover, sophisticated AI solutions offer deeper insights and more agile methods to improve operational efficiency on an industrial scale.
Co-Organizer’s Bios:
Abdellah Chehri:
Dr A. Chehri is an Associate Professor at the Department of Mathematics and Computer Science at the Royal Military College of Canada (RMC), Kingston, Ontario. Dr. Chehri completed his Ph.D. at University Laval (Quebec) and his Master’s studies at University Nice Sophia Antipolis-Eurecom (France). Dr. Chehri is a co-author of more than 200 peer-reviewed publications in established journals and conference proceedings sponsored by established publishers such as IEEE, ACM, Elsevier, and Springer. Dr. Chehri has served on roughly thirty conference and workshop program committees. In addition, he served as guest/associate editor for several well-reputed journals. Additionally, he is a Senior Member of IEEE, a member of the IEEE Communication Society, IEEE Vehicular Technology Society (VTS), and IEEE Photonics Society.
Muhammad Ali Jamshed:
Dr. Muhammad Ali Jamshed (Senior Member IEEE) is with the University of Glasgow since 2021. He is endorsed by Royal Academy of Engineering under exceptional talent category and was nominated for Departmental Prize for Excellence in Research in 2019 and 2020 at the University of Surrey. He is a Fellow of Royal Society of Arts, a Fellow of Higher Education Academy UK, and an Editor of IEEE Wireless Communication Letters, an Associate Editor of IEEE Sensor Journal, IEEE Communication Standard Magazine and IEEE IoT Magazine. He is a co-inventor of one patent and has more than 70 publications in top tier international journals, including, IEEE Transactions and Magazines, flagship IEEE COMSOC conferences, such as ICC, VTC, INFOCOM, WCNC, etc. He is an editor of 4 books on topics related to Low exposure EMF devices (Wiley and IEEE Press), multimodal sensing applications (Wiley), non-terrestrial networks (Springer) and Green and Sustainable IoT (Elsevier). He has been the Lead Guest Editor for Special Issues in IEEE Wireless Communications Magazine (2024-25), in IEEE Communications Standards Magazine (2024-25), and in IEEE Internet of Things Magazine (2023-24). He has been serving as General Chair for over 10 workshops at IEEE international conferences such as at IEEE GLOBECOM 2024, IEEE VTC Fall 2024, IEEE MECOM 2024, IEEE CAMAD 2023, IEEE WCNC 2023, IEEE PIMRC 2022-23, IEEE GLOBECOM 2023, IEEE VTC Spring 2022-23, IEEE CAMAD 2023, and IEEE CAMAD 2019. He has been TPC Member at IEEE ICC 2022-24 IEEE VTC Spring 2024, and IEEE GLOBECOM 2023, and Sessions Chair at IEEE VTC Spring 2022 and IEEE WCNC 2019 and 2023. He is a founding member of IEEE Workshop on Sustainable and Intelligent Green Internet of Things.
Rachid Saadane:
Rachid Saadane holds a B.Sc. (2001) and an M.S. (2003) from Mohamed V University, as well as a Ph.D. (2007) from the University of Mohamed V in collaboration with the Eurecom Institute, a graduate school and research center in digital science. His research interests encompass a wide range of areas, including Wireless Communications, Big Data, Software Engineering, Signal and Image Processing and applications, Smart Cities and applications, IoT, IIoT, Society 5.0, Artificial Intelligence, Smart and Precise Agriculture, Green Hydrogen, Artificial Intelligence and Economy, and Wireless Sensor Networks. He is also a 5G ICT instructor, contributing to the advancement of modern communication technologies. In addition, he has made significant contributions to the reliability of UWB Communication Systems and has expanded his research to include renewable energies and their applications in sustainable technologies. Rachid Saadane was honored with the SCA’19 Award for the best paper at the Smart Cities Applications Conference in 2019. He has authored 139 publications and completed over 400 verified peer reviews, reflecting his active involvement in academia, as evidenced by his profile on Web of Science. He also serves as the Head of the LaGeS laboratory at HSPW, a position he has held since 2018. Currently, he is the Deputy Director in charge of research, cooperation, and partnerships at HSPW, where he continues to drive innovation in renewable energy systems and their applications across various sectors.
Imran Ahmed:
Dr. Imran Ahmed (Senior Member, IEEE) is currently associated with Anglia Ruskin University, Cambridge, UK. He received his PhD degree in computer science from the University of Southampton, Southampton, U.K., in 2014. He also completed post-doctoral research degrees from the Incheon National University, South Korea, in Dec 2020 and from the University of Quebec in Chicoutimi, Quebec, Canada, in Sep 2021. He also worked as an Associate Professor with the Institute of Management Sciences, Hayatabad, Peshawar. His research interests include deep learning, machine learning, data science, computer vision, feature extraction, digital image and signal processing, medical image processing, biometrics, pattern recognition, and data mining. He has attended several national and international conferences in these areas and published numerous articles in refereed journals and conference proceedings. Dr Ahmed has been a guest editor and technical reviewer in several international journals and conferences.
To submit a paper, please visit: https://vtc2025s-rr-wks.trackchair.com/track/2363