IEEE Toronto Newsletter - Oct. 2021
Editor Welcome Message
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IEEE Research Articles

Operationalization of Machine Learning Models in Large Enterprises
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Managing 5G Edge Deployments with Closed Loop Automation
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IEEE Supporters

Dr. Salah Sharieh
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Inmar Givoni
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Coming Events

Engineering Month
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IEEE Toronto Events
Microwave Medical Technologies: Foundations and Clinical Applications by Prof. Emily Porter
Toronto, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/317251Please join us for an upcoming talk on Jul 06, 2-3pm (Eastern Time) by Prof. Emily Porter titled "Microwave Medical Technologies: Foundations and Clinical Applications," as part of the 2021-2022 IEEE AP-S seminar series. Abstract: Microwave medical technologies have promising potential for applications spanning health monitoring, detection and diagnosis of
IEEE Durham Region Speaker Series – Dr. Antonio Valderrabano-Gonzalez & Dr. Carlos Eduardo Castañeda
Ontario Tech University, Oshawa, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/318388Dr. Antonio Valderrabano-Gonzalez & Dr. Carlos Eduardo Castañeda have accepted to give a talk on their research interest areas while visiting Ontario Tech University. Speaker(s): Antonio Valderrabano-Gonzalez, Carlos Eduardo Castañeda Ontario Tech University, Oshawa, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/318388
Novel solution for MVDC and HVDC cable insulation
Virtual: https://events.vtools.ieee.org/m/318272The extension of power grid interconnection with an increased amount of power flow control, the long-distance transmission, and the integration of large blocks of wind, solar and hydro powers all call for the accelerated development of high voltage direct current (HVDC) transmission. Despite the opportunities such as lower power loss,
How to Leverage Machine Learning Tools in Model Predictive Control Schemes
Virtual: https://events.vtools.ieee.org/m/317037Join 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