Executive Meeting
Room: M-6002, Polytechnique Montréal, Montréal, Quebec, CanadaDiscuss recent advancements; Meet new member; Discuss future plans Room: M-6002, Polytechnique Montréal, Montréal, Quebec, Canada
Webinar – Practical Instruction on Ufer Grounds
Virtual: https://events.vtools.ieee.org/m/450987Concrete encased electrodes for grounding electrical power systems, also called Ufer grounds, are highly effective grounding systems when installed correctly. James will explain what constitutes a Ufer ground and how one can be easily constructed in accordance with the IEEE Standard 142-2007 (the Green Book) and the National Electrical Code (NEC). He will also explain what common errors and myths surround Ufer grounds as well as an error in the IEEE Green Book, and errors in interpreting the NEC. James will also explain how Ufer grounds are essential to effective lightning protection systems. James’ background as an experienced construction electrician and a B.S. Civil Engineer makes him uniquely qualified to explain civil/structural concepts and practices, and how these are relevant to Electrical Engineers. Co-sponsored by: IEEE Hamilton PES Chapter, and other PES Chapters in R7 Speaker(s): James J. Mercier, Virtual: https://events.vtools.ieee.org/m/450987
Quantitative Analysis of Machine Learning Model Performance and the need to consider explainability in it
Virtual: https://events.vtools.ieee.org/m/442073[] Free Registration (with a Zoom account; you can get one for free if you don't already have it): https://sjsu.zoom.us/meeting/register/tZcsc-CoqjwpG9aPDHfg6Axqvn90i4uQRmqr Synopsis: For a long time, the AI/ML community relied on traditional evaluation metrics such as the confusion matrix, accuracy, precision, and recall for assessing the performance of machine learning models. However, the rapidly evolving field has been raising several ethical concerns, which calls for a more comprehensive evaluation scheme. In easy-to-understand language, this talk will delve into the quantitative analysis of model performance, emphasizing the critical importance of explainability. As ML models become increasingly complex and pervasive, understanding their decision-making processes is paramount. We'll explore various performance metrics, their limitations, and the growing need for transparency. Topics covered include Cohen’s Kappa Statistic, Matthew's correlation coefficient (MCC), Confusion Matrix, Precision, Recall, G-measure, ROC Curve, Youden's J statistic, Type II Adversarial attack, R-squared, LIME, SHAP, and more. Speaker(s): Dr. Vishnu S. Pendyala Virtual: https://events.vtools.ieee.org/m/442073
Leadership and Management
Virtual: https://events.vtools.ieee.org/m/453969Abstract: Louis-Rafaël will share his journey in entrepreneuship through answering questions provided by the student committee of TrUST as well as our coordinator. Co-sponsored by: NSERC Create TrUST Speaker(s): Louis-Rafaël Robichaud Agenda: 1:00 - 3:00 pm : presentation Virtual: https://events.vtools.ieee.org/m/453969
Careers in Tech Special Event 2025 – Michael Viron – Startup 101: Lessons Learned 8 Jan 2025 6PM CST / 7 PM EST
Virtual: https://events.vtools.ieee.org/m/456302In the dynamic landscape of startups, leveraging technology effectively can be a game-changer. This session delves into essential lessons learned in Information Technology (IT) that are crucial for the success and sustainability of startups. Whether you're launching a tech-driven product or service, managing data, or optimizing operations, understanding these insights can steer your startup towards growth and resilience. Co-sponsored by: Baton Rouge User Groups (BRUG) Speaker(s): Michael Viron Virtual: https://events.vtools.ieee.org/m/456302