Join the IEEE Toronto ComSoc Chapter for this in-person talk by Dr. Lina Bariah, from the Technology Innovation Institute, on "A Holistic Vision of Sustainable Smart Cities" ! Since the evolution of the smart city concept, the way we are living our everyday life has been revolving toward integrating intelligence in every aspect of our lives, spanning from automated systems, smart homes, smart buildings and factories, to intelligent transportation systems and intelligent retail. While this paradigm has motivated the emergence of novel technological trends, in order to meet its demanding requirements, several technologies have played a fundamental role in enabling the smart city concept, such as internet-of-things (IoT), sensing, machine learning (ML) and artificial intelligence (AI), and cloud and edge computing, to name a few. Along the way, wireless network generations have fundamentally participated in maturing the paradigm of smart city, which will continue to grow with the aim to realize pervasive user-centric applications supported by ubiquitous intelligence. This means, AI is anticipated to be the fuel for every aspect in smart cities. This talk will explore the opportunities offered by wireless networks in smart city applications, and the role of AI as the main orchestrator. Speaker(s): Lina Bariah, Room: 4th Floor- BA 4164, Bldg: Bahen Centre for Information Technology, University of Toronto, 40 St George St, Toronto, Ontario, Canada, ON M5S2E4
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The spectrum above 100 GHz offers plentiful bandwidth for ultra-high-speed communication and high-resolution sensing, thereby providing a promising foundation for realizing unprecedented capabilities in next-generation wireless networks. In this talk, I will begin by presenting emerging transceiver architecture that can enable directional sub-THz steering without traditional multi-antenna arrays. I will discuss how to exploit the key characteristics of sub-THz signals and the proposed architecture for high-resolution localization. Such sensing modalities can then be exploited to enable highly directional, high data rate links that are robust to client and environmental mobility. I will address one of the main concerns with sub-THz networking which is high power consumption by introducing the first ultra-wideband retro-directive backscatter above 100 GHz. Finally, I will discuss new security paradigms in this regime: while the conventional wisdom suggests that physical layer security improves with narrow beams, I will explain new vulnerabilities introduced by the control plane as well as emerging low-cost smart reflecting surfaces. I will conclude the talk by illustrating fundamentally new techniques for wireless authentication and security. Speaker(s): Yasaman Ghasempour , Virtual: https://events.vtools.ieee.org/m/320934 |
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Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a talk on Application of Machine Learning in Model Predictive Control, presented by Dr. Meaghan Charest-Finn. Tuesday, August 16, 2022 @ 4:00 – 5:00 PM Abstract: Model Predictive Control (MPC) algorithms provide a convenient entry point for machine learning methods as they are built around a system model. Furthermore, these types of constrained control algorithms are robust, well suited for Multiple-Input Multiple-Output (MIMO) Systems and Nonlinear Systems. In this talk we will discuss fundamental concepts of MPC and how the model component can be used to leverage Artificial Intelligence (AI) Speaker(s): Meaghan Charest-Finn, PhD Register: https://events.vtools.ieee.org/m/317037 |
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Join IEEE Toronto Young Professionals Affinity Group to discuss best cloud security practices and approaches. Co-sponsored by: Vancouver Section Affinity Group,YP Speaker(s): Farshad Abasi, Agenda: Topics that will be covered are: AWS Security Hub GuardDuty Inspector Config CloudTrail IoT Device Defender Virtual: https://events.vtools.ieee.org/m/321667 |
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Intended for the students of SEMET at Seneca College in Toronto, ON. Serves as a chance for students to talk to a graduate of the college on this possible career path. Speaker(s): Gabriel Chan, Virtual: https://events.vtools.ieee.org/m/321665 |
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