Computer Science Guest Speaker Series: The 3 C’s of IoT: Intelligent Collection, Communication and Computation of Data

THE DEPARTMENT OF COMPUTER SCIENCE GRADUATE SEMINAR 2022
Guest Speaker Series Presented By:

Dr. Zubair Md Fadlullah
"The 3 C’s of IoT: Intelligent Collection, Communication and Computation of Data "

Friday, October 28th, 2022
11:30 am

Abstract:
The advent of the 5G and Beyond 5G (B5G) communication systems and terrestrial-aerial-underwater-satellite integrated networks, along with the proliferation of the Internet of Things (IoT) and Artificial Intelligence (AI), have started to evolve the vision of the smart world into a reality. In particular, a seamless fusion of AI and IoT is anticipated to add new dimensions to intelligent and connected devices and applications since the demands of continuous and ubiquitous communication with automated, lightweight, and secure systems have massively risen. While AI-driven IoT and B5G networks can play an essential role in sufficing these demands, there are several challenges in attaining it. In this presentation, I will look into these emerging hurdles in emerging IoT and B5G network systems from the perspective of the 3 C’s, i.e., the three-fold directions in terms of data collection, communication, and computing layers. We argue that centralized remote cloud-based AI analytics may not be adequate for solving these challenges, and we need to emphasize bringing the computation into the resource-constrained, edge IoT devices. In the presentation, I will present different optimization and/or AI-enabled techniques to provide practical, lightweight, reliable, and privacy-preserving solutions for some selected challenges in the three layers with reference to specific use-cases. Future vision and plans to build collaboration and leadership in the area of ubiquitous connectivity will also be discussed.

Biography:
Dr. Zubair Fadlullah plays a dual role with a unique university-hospital collaboration in Northern Ontario, Canada. He serves as an Associate Professor at the Department of Computer Science at Lakehead University while simultaneously developing an interdisciplinary research program at Thunder Bay Regional Health Research Institute (TBRHRI). He brings a cross-professional approach to connected, health-analytics solutions using cutting-edge communication networking and edge computing techniques to improve smart society and smart health technologies. Dr. Fadlullah has a unique vision for applying machine learning, deep neural networks, and privacy-preserving federated learning to solve computing problems in edge networks. Dr. Fadlullah’s research has been supported by the Ministry of Science and Education, Japan; Qatar National Research Fund; and NSERC, MITACS, TBRHRI, and NOHFC (Northern Ontario Heritage Fund Corporation), Canada.


To register for this virtual event, please email grad.compsci@lakeheadu.ca and a Zoom link will be shared.

Everyone is welcome.