To support your role in inspiring students to pursue careers in STEM-related fields, we are pleased to offer the following program which provides a complete STEM curriculum for grade 11-12 students. This program will provide access to STEM content and the technical expertise of our IEEE members to help you integrate this content into your teaching practice. The program will be delivered from January to June 2025. [] The program begins with a guided 16-week presentation of a (https://www.cool-mcu.com/bundles/rpi-pico-robotics-and-iot-curriculum-for-pre-university-educators), followed by regularly scheduled office hours as you apply the concepts into your teaching practice. Please review the following video which describes the program: https://youtu.be/LBHYEj2qobs This training is targeted towards Grade 11/12 Computer or Electronics Engineering Teachers, and will be delivered virtually using a Learning Management System, combined with weekly live Q/A sessions to verify mastery of the material. When registering, please complete all address fields, so we can ship you a robot kit and track in time for the kick-off session! Agenda: Kick-Off Meeting Agenda: Outcomes Courses & Topic Coverage IoT Robot Hardware Review Using the LMS Detailed Training Schedule Assigned reading and lab exercise Virtual: https://events.vtools.ieee.org/m/436135

To support your role in inspiring students to pursue careers in STEM-related fields, we are pleased to offer the following program which provides a complete STEM curriculum for grade 11-12 students. This program will provide access to STEM content and the technical expertise of our IEEE members to help you integrate this content into your teaching practice. The program will be delivered from January to June 2025. [] The program begins with a guided 16-week presentation of a (https://www.cool-mcu.com/bundles/rpi-pico-robotics-and-iot-curriculum-for-pre-university-educators), followed by regularly scheduled office hours as you apply the concepts into your teaching practice. Please review the following video which describes the program: https://youtu.be/LBHYEj2qobs This training is targeted towards Grade 11/12 Computer or Electronics Engineering Teachers, and will be delivered virtually using a Learning Management System, combined with weekly live Q/A sessions to verify mastery of the material. When registering, please complete all address fields, so we can ship you a robot kit and track in time for the kick-off session! You will receive a separate email message when registration closes, providing further instructions as well as the Zoom meeting information. Agenda: Kick-Off Meeting Agenda: Outcomes Courses & Topic Coverage IoT Robot Hardware Review Using the LMS Detailed Training Schedule Assigned reading and lab exercise Virtual: https://events.vtools.ieee.org/m/424987

To support your role in inspiring students to pursue careers in STEM-related fields, we are pleased to offer the following program which provides a complete STEM curriculum for grade 11-12 students. This program will provide access to STEM content and the technical expertise of our IEEE members to help you integrate this content into your teaching practice. The program will be delivered from January to June 2025. The program begins with a guided 16-week presentation of a (https://www.cool-mcu.com/bundles/rpi-pico-robotics-and-iot-curriculum-for-pre-university-educators), followed by regularly scheduled after office hour online sessions as you apply the concepts into your teaching practice. Please review the following video which describes the program: https://youtu.be/LBHYEj2qobs This training is targeted towards Grade 11/12 Computer Engineering or Electronics Teachers, and will be delivered virtually using a Learning Management System, combined with weekly live Q/A sessions to verify mastery of the material. When registering, please complete all address fields, so we can ship you a robot kit and track in time for the kick-off session! Co-sponsored by: IEEE Toronto Section Agenda: Kick-Off Meeting Agenda: - Outcomes - Courses & Topic Coverage - IoT Robot Hardware Review - Using the LMS - Detailed Training Schedule - Assigned reading and lab exercise Virtual: https://events.vtools.ieee.org/m/435931

1. Artificial intelligence (AI) is transforming the landscape of healthcare, particularly in the field of robotic surgery. This presentation explores the integration of AI in surgical robots, focusing on its potential to enhance precision, efficiency, and patient outcomes. We will examine how AI-driven technologies improve surgical planning, assist in real-time decision-making, and enhance the capabilities of robotic systems in performing complex procedures. From AI-assisted image analysis and diagnostics to autonomous decision-making during surgery, this session will highlight the various ways in which AI is revolutionizing the surgical process, making procedures more accurate and minimally invasive. Moreover, the presentation will address the benefits and challenges associated with the adoption of AI in surgical robotics. These include improved surgical outcomes, reduced recovery times, and greater accessibility to advanced surgeries. Ethical considerations, data privacy, and the need for regulatory frameworks will also be discussed to ensure the responsible implementation of AI in surgical settings. Finally, we will look ahead to the future of AI-powered surgical robots, examining emerging trends and innovations that promise to further transform the field and enhance the capabilities of healthcare providers worldwide. Virtual: https://events.vtools.ieee.org/m/481641

Vehicle platooning involves a group of vehicles driving in close coordination, maintaining short inter-vehicle distances to improve road capacity, reduce fuel consumption for following vehicles, and enhance overall driving safety. Achieving this coordination requires continuous exchange and processing of environmental sensor data. To further enhance control and service performance without overloading individual vehicles, maintaining digital twins (DTs) of platooning vehicles has emerged as a promising approach. A platoon digital twin (PDT), which integrates the DTs of all platoon members, can serve as a unified interface for coordinated traffic management. However, the effectiveness of PDT-based applications relies heavily on the quality of the PDT, which in turn depends on timely and accurate synchronization with the physical platoon that requires robust communication and computation resources. In this talk, we present our recent work on joint communication and computation resource allocation to support high-quality PDTs under highly dynamic vehicle mobility. We model the problem as an M-th order Markov Decision Process (MDP) to better capture the temporal dynamics of the system. Our solution leverages a multi-agent Deep Deterministic Policy Gradient (DDPG) framework, enhanced with temporal feature extraction, to adapt to rapidly changing network conditions and improve resource allocation decisions. Speaker(s): Dongmei Zhao, Virtual: https://events.vtools.ieee.org/m/481625

Titre: Analog Front-End Chip Implementation for Wearable Applications Conférencier: Surachoke Thanapitak , Professor, Electrical Engineering Department, Mahidol, Thailand University Lieu: ÉTS, Pavillon A, Local A-2473 , 1100 Rue Notre-Dame Ouest, Montréal Date et heure: vendredi le 25 avril 2025 de 10:30 à 11:30 Résumé: This talk presents a low-power analog front-end (AFE) chip for wearable ECG applications, featuring a low-noise amplifier (LNA) and nano-power OTA-C filter. The LNA offers high CMRR and low input-referred noise for accurate signal acquisition, while the filter effectively removes baseline drift and noise with minimal power. Fabricated in standard CMOS, the design achieves µV noise level and <1 µW power per channel, enabling high-fidelity ECG monitoring in energy-constrained wearables. Note biographique: Surachoke Thanapitak (Member, IEEE) graduated with Electronic Engineering from King Mongkut’s Institute of Technology Ladkrabang (KMITL), Thailand, in 2004. He was awarded a Royal Thai Government scholarship and obtained an MSc in Analogue and Digital IC Design (2007) and a PhD in Electrical Engineering (2012) from Imperial College London, United Kingdom. In 2012, he joined the Department of Electrical Engineering at Mahidol University as a lecturer. Currently, he is an Associate Professor in Electronics. He serves as a reviewer for the IEEE Transactions on Circuits and Systems I & II, IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on VLSI Systems, and the IEEE Sensors Journal. In 2018, he was a Research Fellow at National Tsing Hua University, Hsinchu, Taiwan. Additionally, he served as a Tutorial Co-Chair for the 2019 IEEE Asia-Pacific Conference on Circuits and Systems. Co-sponsored by: ReSMiQ (Regroupement stratégique en microsystèmes du Québec) Speaker(s): Surachoke Thanapitak Virtual: https://events.vtools.ieee.org/m/482412

Data center, compute, and AI applications continue to demand higher bandwidth from electrical interconnects. The volume of short-reach links (less than a few cm) has exploded to facilitate high-bandwidth data movement between compute engines and memory in the AI era. This massive growth will continue as the industry moves towards highly-parallelized die-to-die interfaces to support chiplet-based architectures. However, power efficiency in these links is of paramount importance to maintain reasonable power levels within a compute drawer. This talk will focus on trends and advancements in power-efficient short reach links that aim to maximize the shoreline bandwidth density. Multi-disciplinary approaches involving circuit innovations, architectural advancements, data signaling techniques, and packaging technologies are required to deliver linear bandwidth densities above 1 Tbps/mm at power efficiencies below 500 fJ/bit. Speaker(s): Tod Dickson, Virtual: https://events.vtools.ieee.org/m/481111

Titre: Le numérique autour des circuits mixtes Conférencier: Dominique Dallet , Professeur, Département de génie électrique, Bordeaux INP/ENSEIRB-MATMECA, France Lieu: ÉTS, Pavillon A, Local A-2473 , 1100 Rue Notre-Dame Ouest, Montréal Date et heure: vendredi le 25 avril 2025 de 13:00 à 14:00 Résumé: Le convertisseur analogique-numérique est l’un des composants clés des systèmes de réception, comme l’est l’amplificateur de puissance pour l’émission. Les systèmes de communication actuels demandent plus de bande passante et plus de précision, ou dynamique. Il est donc difficile pour les concepteurs de circuits de proposer des solutions alliant vitesse et précision. Afin de plier ce problème, nous apportons des solutions numériques que nous détaillerons pour plusieurs architectures de convertisseurs analogiques numériques. Note biographique: Dominique Dallet (Membre, IEEE) a reçu le diplôme de docteur en génie électrique de l'Université de Bordeaux, Bordeaux, Talence, France, en 1995. Il est actuellement Professeur des Universités en électronique numérique à l'École d'ingénieurs Bordeaux INP, et il effectue ses recherches au sein du Laboratoire IMS (Laboratoire de l'Intégration du Matériau au Système, Bordeaux INP, Université de Bordeaux CNRS UMR 5218). De 2018 à 2024, il a été directeur du département Systèmes électroniques embarqués à l'école d'ingénieurs Bordeaux INP- ENSEIRB-MATMECA. De 2015 à 2021, il a été responsable du groupe de conception du laboratoire IMS. Il est l'auteur de plus de 300 articles dans des revues internationales et nationales, de chapitres de livres et de brevets. Ses recherches actuelles portent sur la modélisation et le test des convertisseurs de données (A/N-N/A), l'estimation des paramètres, la mise en œuvre du traitement des signaux numériques dans différentes cibles (circuit intégré à application spécifique et réseau de portes programmables), et la conception électronique pour l'amélioration numérique des circuits électroniques analogiques et mixtes (CAN, CNA, et amplificateur de puissance). Co-sponsored by: ReSMiQ (Regroupement stratégique en microsystèmes du Québec) Speaker(s): Dominique Dallet, Virtual: https://events.vtools.ieee.org/m/482413

Speaker: Murray MacDonald Subject: Argentina Visit & Breath of IEEE And Milestone Process Abstract: Murray will talk about the milestone for Cobalt 60 Radiation Cancer Treatment. Murray will talk about a visit he made to Argentina in 2023, visiting their LMAGs. This is part of the TALK series organized by Carl Zanon of Vancouver Section LMAG. All Life Members and anyone else interested is welcome to attend. Times are Vancouver, 10:00 AM PDT is 1:00 PM EDT. Registration is optional, but we want to know who to expect. Future Talks planned: 2025-May-24 TALK #32 Dr. Jaymie Matthews Astronomy Revisited 2025-Jun-21 TALK #33 S. Douglas Cromey Electric Ferry in Kingston Speaker(s): Murray MacDonald Agenda: https://us02web.zoom.us/j/4912540253 9:45 AM PDT Zoom opens 10:00 AM PDT Welcome and speaker introduction 10:05 AM PDT Speaker Virtual: https://events.vtools.ieee.org/m/477212

Anomaly detection and prediction typically require extensive domain knowledge to develop tools capable of automatically identifying or forecasting anomalous events or behaviors in IoT systems. These systems—particularly those within Public Transportation Networks—often consist of devices with diverse capabilities, functions, and operational lifespans, making the detection of rare anomalies especially challenging. Moreover, establishing domain expertise and collecting a sufficient number of data points for anomaly detection is frequently time-consuming and costly. Virtual: https://events.vtools.ieee.org/m/481954