Azzedine Boukerche

Recent UN report estimates a continuing population growth and urbanization will add 2.5 billion people to the world’s urban population by 2050 and 2.9 billion vehicles in the world and at most likely two billion of that will be in new emerging developing countries. If you think traffic jam is bad, just wait.

As a consequence, in order to be the most livable, sustainable and competitive, Cities around the world are actively experimenting with smart technologies to pave the way for a smart transportation system (ITS)

This talk will consist in an overview about the major research projects related to the design of “cognitive” cars and smart roads applications, which we are currently investigating at the DIVA Strategic Research Network and TRANSIT Network and PARADISE Research Laboratory, University of Ottawa. Next, we shall focus on the main challenges, modeling, simulation and design issues and discuss some results obtained recently. Finally, if time permits, we will talk about LIVE testbed, a convergence of distributed simulation, wireless multimedia and vehicular sensor technologies we are developing at DIVA and PARADISE Research Laboratory for an urban vehicular grid. This testbed will facilitate and enable us to evaluate and design new protocols and applications for future generations of connected vehicular and sensor network technologies.

Biography:

Azzedine Boukerche is a Distinguished University Professor and holds a Senior Canada Research Chair position at the University of Ottawa, Canada. He is a fellow of IEEE, a fellow of the Canadian Academy of Engineering, a fellow of the Engineering Institute of Canada, and Fellow of American Association for the Advancement of Science. He is the founding director of the PARADISE Research Laboratory, School of Electrical Engineering and Computer Science (EECS), Ottawa. Prior to this, he held a faculty position at the University of North Texas, and he was a senior scientist at the Simulation Sciences Division, Metron Corp., San Diego. He spent a year at the JPL/NASA-California Institute of Technology, where he contributed to a project centered on specification and verification of the software used to control interplanetary spacecraft operated by JPL/NASA Laboratory. His current research interests include IoT, Wireless ad hoc and sensor networks, wireless networks, wireless multimedia, performance evaluation and modeling of large-scale distributed systems, distributed computing, and distributed and parallel simulation. He has published several research papers in these areas, and he received about 16 Best research paper awards. He has been serving as an Associate Editor of several journals, ACM Computing Surveys, IEEE Transactions TPDS and TVT, Elsevier Ad-Hoc Networks, Wiley International Journal of Wireless Communication and Mobile Computing, Wiley Security and Communication Network Journal, Elsevier Pervasive and Mobile Computing Journal, IEEE Wireless Communication Magazine, and Elsevier Journal of Parallel and Distributed Computing. He was the recipient of the Premier of Ontario Research Excellence Award, Ontario Distinguished Researcher Award, Glinski Research Excellence Award, IEEE CS Golden Core Award, IEEE Canada Gotlieb Medal Award, IEEE ComSoc Exceptional Leadership Award, IEEE TCPP Exceptional Leadership Award. He served as the General Chair for numerous IEEE/ACM sponsored International Conference, He a Steering Committee chair for the IEEE Transactions on Sustainable Computing, and several IEEE.ACM conferences.

Address:United States

Mohsen Guizani

To meet the diverse requirements for intelligent autonomous IoT systems and ensure privacy, the concept of Federated Learning (FL) has been proposed and used. An IoT using computing edge technologies, security related technologies and machine learning, to enable smart autonomous systems is envisioned. So, FL has provided a platform in many of these applications to protect the data and reduce latency. These smart services/applications rely on efficient computation and communication resources. In this talk, we showcase our research activities that will contribute to these efforts and advocate possible solutions using these models

Biography:

Mohsen Guizani (Fellow, IEEE) received the BS (with distinction), MS and PhD degrees in Electrical and Computer engineering from Syracuse University, Syracuse, NY, USA. He is currently a Professor of Machine Learning at the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. Previously, he worked in different institutions in the USA. His research interests include applied machine learning and artificial intelligence, smart city, Internet of Things (IoT), intelligent autonomous systems, and cybersecurity. He became an IEEE Fellow in 2009 and was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science, 2019 to 2022. Dr. Guizani has won several research awards including the “2015 IEEE Communications Society Best Survey Paper Award”, the Best ComSoc Journal Paper Award in 2021 as well 5 Best Paper Awards from ICC and Globecom Conferences. He is the author of 11 books, more than 1000 publications and several US patents. 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 serving on the Editorial Boards of many IEEE Transactions and Magazines. 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.

Address:United States

Cristian Borcea

Stefano Giordano

Susano Sargento

Yacine Ghamri-Doudane