This will be a long talk with a long Q&A section, similar to a mock thesis/dissertation-defense presentation. ***** Please note: this meeting will be recorded so that it can be posted for the general public later. ***** [] Topic: Application of a MEMS Accelerometer in Dynamic Vibration Monitoring of a Vehicle For safety, comfort, and reliability of a vehicle, measure multiple spots of course. See dynamic test results of a MEMS accelerometer made in-house, and three commercial ones, in this edition of Research Paper Sunday. Guest Presenter: Bhawya Research Assistant, University of Windsor, Windsor, Ontario, Canada Google Meet Live Stream link: https://meet.google.com/kui-ctid-jru Virtual: https://events.vtools.ieee.org/m/502315

Join us for a free BBQ near University of Manitoba! Network with other students and IEEE members. This event is hosted by Winnipeg YP in Kings Park, (picnic site #1 - see red circle in image below). Registration is required. [] Kings Park Picnic Site #1, 198 Kings Dr, Winnipeg, Manitoba, Canada, R3T 3G1

Learn to Build with Arduino! Join us for a hands-on workshop where you'll learn the basics of building with Arduino. Whether you're a beginner or an experienced maker, this workshop is perfect for anyone interested in learning how to create interactive projects. What You Will Learn - Introduction to Arduino: the UNO board, IDE, and programming language. - How to program an Arduino board: write and upload code. - Basics of analog/digital signal processing. - Basic electronics concepts such as breadboard circuit, resistor, LED, and more! This workshop is open to anyone interested in learning about Arduino and building interactive projects. No prior experience is necessary, but basic programming and electronics knowledge is helpful. We look forward to seeing you at the workshop! Room: ENGTR 1080, Bldg: Trottier Building, 3630 University Street, Montréal, Quebec, Canada, H3A 2B3

Talk Title: Scientific Machine Learning for Electromagnetic Field Computations Abstract A recent report by the US Department of Energy defines the area of scientific machine learning as “a core component of artificial intelligence (AI) and a computational technology that can be trained, with scientific data, to augment or automate human skills”, which has “the potential to transform science and energy research”. In this presentation, we discuss the potential of scientific machine learning methods to problems in computational electromagnetics starting from standard electromagnetic structure analysis and multi-physics modeling in the time-domain, employing an unsupervised learning strategy based on Physics-Informed Neural Networks (PINN). PINNs directly integrate physical laws into their loss function, so that the training process does not rely on the generation of training ground truth data from simulations (as in typical neural networks). We demonstrate the unconditionally stable solution of coupled electromagnetic-thermal problems, along with the modeling of frequency selective surfaces and metasurfaces, orders of magnitude faster than the conventional finite-difference time-domain technique (FDTD), including training time of the neural network. Moreover, we demonstrate the impact of machine learning on the computational modeling of radiowave propagation scenarios. We build convolutional neural network models that can process the geometry of indoor environments, along with physics-inspired parameters, to rapidly estimate received signal strength (RSS) maps. Emphasis is placed on the generalizability of these models, which is their ability to "learn" the physics of radiowave propagation and produce accurate modeling predictions in new geometries well beyond those included in their training set. Speaker Bio Prof. Costas Sarris is a Professor of Electrical and Computer Engineering at the University of Toronto. His research spans computational electromagnetics, time-domain modeling, wireless propagation models, uncertainty quantification, and scientific machine learning. He is an IEEE Fellow and a Distinguished Lecturer of the IEEE Antennas and Propagation Society (2024–2026). His many honors include the 2021 IET Premium Award for Best Paper in Microwaves, Antennas & Propagation and the 2013 IEEE MTT-S Outstanding Young Engineer Award. He has served in numerous leadership roles, including Editor-in-Chief of the IEEE Journal on Multiscale and Multiphysics Computational Techniques (2019–2024). Date & Time: Tuesday, September 30, 2025, at 11:00 AM Location: University of Waterloo, EIT 3142 Speaker: Prof. Costas Sarris, IEEE Fellow, University of Toronto Organizers - IEEE KW MTT-S Student Branch Chapter - IEEE KW AP-S Student Branch Chapter Co-Organizers - IEEE KW Joint AP-S & MTT-S Chapter - IEEE KW Sensors Council Chapter - IEEE KW Young Professionals EIT 3142, 200 University Ave W, ON, Waterloo, Ontario, Canada, N2L 3G1, Virtual: https://events.vtools.ieee.org/m/501586

Training Session on PLECS and PLECS Coder: A Simulation Toolbox for Power Electronic Systems Plexim provides three solutions to design and test power electronic systems and their associated controls. The PLECS simulation software is extremely fast and robust, and includes component libraries for thermal, magnetic, and mechanical aspects. The RT Box is the fastest real-time simulator for power electronics with the Nanostep® solver. It offers controller HIL testing for converters switching into the MHz range, and rapid control prototyping. The PLECS Coder is used to graphically program the code and easily configure peripherals for common microcontrollers, such as TI C2000, STM32, and XMC. Electrical Engineering Software | Plexim Presenter’s Bio: Munadir Ahmed is an Embedded Power Electronics Specialist at Plexim, with expertise in system-level design, modeling and simulation, controls and firmware development, and rapid prototyping of power electronics systems. Since earning his MSEE from Purdue University in 2013, he has worked on advanced on-board charger and power conversion systems, focusing on developing innovative control solutions and translating simulation models into functional hardware prototypes. Prior to Plexim, Mr. Ahmed worked at Livewire and Power Integrations, where he contributed to powertrain and charger development, optimized system and controller performance, and supported the transition of products from concept to production. Event Details: Date: October/01/2025 (Wednesday) Time: 2:30 PM to 4 PM (EDT) Location: Lakehead University, Thunder Bay, Canada Room: ATAC Building (AT 1007) Note: Please bring your own computer to install and use the PLECS software during the training session. Room: 1007, Bldg: ATAC, 955 Oliver Rd, Thunder Bay, Ontario, Canada, ON P7B 5E1

The IEEE NL Section Women in Engineering (WIE) is pleased to host a special talk titled “Engineering with Purpose: Tech Stewardship in Turbulent Times” by Dr. Janna Rosales. What does it mean to be a responsible engineer in a world that feels increasingly volatile, uncertain, complex, and ambiguous? In this interactive talk, Dr. Janna Rosales invites students, faculty, and professionals in STEM to explore the concept of tech stewardship—a mindset that goes beyond innovation to consider the broader impacts of our work. We’ll dive into real-world “wicked problems”—those messy, interconnected challenges with no easy solutions. Think climate change, AI ethics, clean water access, misinformation, and the future of work in an automated world. These are the kinds of issues where engineering meets ethics, and where your choices can shape the future. Using the lens of tech stewardship, we’ll unpack how engineers can help shape a more just, sustainable, and humane future. Whether you're just starting out or deep into your career, this session will challenge you to think differently about your role in a rapidly changing world. [] Speaker(s): Dr. Janna Rosales, Room: Faculty Lounge (EN4000), Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada

Decision Making with Deep Reinforcement Learning (RL) for Beginners Agenda: - Basics of RL - RL with Deep Learning - Implementation of a PickupRobot in Demo Grid World. - Q & A Who Should Attend: - Students and beginners curious about RL - Interested in decision-making and Optimization - Interested in working in Robotics , Game and other fields Speaker(s): Ashab, Room: 1102, Bldg: CEI, University of Windsor, Windsor, Ontario, Canada

Technical talk with the following abstract: Despite the much debated end of Moore's Law, CMOS scaling still maintains economic relevance with 3nm finFET SoCs already in the marketplace for three years and 2nm gate-all-around SoCs anticipated late this year. Area scaling extensively driven by design/technology innovations co-optimized for primarily logic scaling continue to offer compelling node-to-node power, performance, area, and cost benefits. In this tutorial, we will start with a walk through memory lane, recounting a brief history of transistor evolution to motivate the migration from the planar MOSFET to the fully depleted FinFET. We will summarize the key process technology elements that have enabled the finFET CMOS nodes, highlighting the resulting device technology characteristics and challenges. This will set the context for motivating the transition to the gate-all-around device architecture, namely nanoribbons or nanosheets, and unveiling the magic of how these devices are fabricated. Speaker(s): Alvin Loke, Room: CEME 1202, Bldg: Civil and Mechanical Engineering Building, 6250 Applied Science Lane, Vancouver, British Columbia, Canada, V6T 1Z4

Description - What you will learn - Arduino libraries and how to use them. - How to use sensors and motors with Arduino to build an interactive circuit. You will learn how to use the following components: - Infrared Reflective (IR) - Ultrasonic - Servo motors - Tips for troubleshooting and debugging Notes Although this workshop is a continuation of Part I, you do not need to have attended Part I to attend Part II. We will be reviewing the basics of Arduino and programming in the beginning of the workshop. We look forward to seeing you at the workshop! Room: ENGTR 0100, Bldg: Trottier Building, 3630 University Street, Montréal, Quebec, Canada, H3A 2B3

IEEE Student branch and IEEE Windsor Section in collaboration with Google Developer Groups presents Innovate with AI Competition. What: Showcase your innovative solutions using AI, Machine Learning, and Cloud Technology Who: Teams of 2-4 undergraduate, graduate, and recent 2024/2025 graduates When: ● Proposals Due Online: October 5, 2025 ● In-Person Pitches @ UWindsor: November 7, 2025 ● Winners Announced @ DevFest: November 8, 2025 Prizes: ● 1st Place: $500 ● 2nd Place: $300 ● 3rd Place: $200 Windsor, Ontario, Canada