Events
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Women in STEM
Fleetwood Branch Meeting Room, Surrey Library, Surrey, British Columbia, Canada, V4N0W1[]Co-sponsored by: Bangladeshi Engineers & Computer Science Professionals of British ColumbiaFleetwood Branch Meeting Room, Surrey Library, Surrey, British Columbia, Canada, V4N0W1
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Séminaires du Chapitre IEEE CAS/EMB: Tellurene electronics and beyond par / by Wenzhuo Wu, Edwardson School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USA
Virtual: https://events.vtools.ieee.org/m/549800- Tellurene electronics and beyondpar / by Wenzhuo Wu, Edwardson School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USAQuand / When : 30 mars 2026 à 10h00 / March 30, 2026, at 10:00amLieu / Location : École de technologie supérieure, Pavillon A, salle A-1302 /Building A, Room A-1302 (1100, rue Notre-Dame Ouest, Montréal)(<a href="https://resmiq.org/evenements/seminaires-et-cours-intensifs/telllurene-electronics-and-beyond/)Ce" target="_blank" title="https://resmiq.org/evenements/seminaires-et-cours-intensifs/telllurene-electronics-and-beyond/)Ce">https://resmiq.org/evenements/seminaires-et-cours-intensifs/telllurene-electronics-and-beyond/)Ce séminaire sera accessible via zoom pour les participants de l'Université Laval, de l'Université du Québec en Outaouais (UQO),de l'Université du Québec à Trois-Rivières (UQTR), de l'Université de Sherbrooke, et de l'Université du Québec à Chicoutimi (UQAC).L'information pour se connecter sera envoyé 24h avant l'activité.This seminar will be accessible via zoom for the attendees from Université Laval, Université du Québec en Outaouais (UQO),Université du Québec à Trois-Rivières (UQTR), Université de Sherbrooke, and Université du Québec à Chicoutimi (UQAC).The connection details will be provided 24 hours prior to the <a href="http://seminar.(<a href="https://resmiq.org/formulaires/inscription-pour-seminaires/)Co-sponsored" target="_blank" title="https://resmiq.org/formulaires/inscription-pour-seminaires/)Co-sponsored">https://resmiq.org/formulaires/inscription-pour-seminaires/)Co-sponsored by: ReSMiQ / IEEE Nanotechnology council (NTC)Speaker(s): Wenzhuo Wu, Virtual: https://events.vtools.ieee.org/m/549800
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ECE Industry Night
Room: (Upstairs), Bldg: Louis Loft, 93 Campus Dr, Saskatoon, Saskatchewan, Canada, S7N 0W6An event aimed towards second year students to help inform them about the career paths of the various specialities within Electrical Engineering. Our goal is to help direct and inform students as they decide what focus to specialize in (Power, DSP, Sensors/Circuits, Robotics) based on the insight from professional engineers in these related <a href="http://fields.As" target="_blank" title="fields.As">fields.As a student you don’t really know what jobs exist with the various streams in Electrical Engineering. You don’t know what the career options look like, nor do you know what the day to day is like. To help build upon what the different streams look like and what you can actually do with each stream we want to host an event to provide insight into what skills you actually again from the different streams, and hear from industry representatives about the work that they do, and how their schooling impacted or could have benefited them to end up in the career they do <a href="http://today.Agenda:6:30" target="_blank" title="today.Agenda:6:30">today.Agenda:6:30 - 7:00 Cocktails & Appetizers7:00 - 8:00 Industry Presentations & Closing Panel8:00 - 9:30 Networking and ClosingAttire: Casual / Business CasualRoom: (Upstairs), Bldg: Louis Loft, 93 Campus Dr, Saskatoon, Saskatchewan, Canada, S7N 0W6
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Fundamentals of Deep Learning-Workshop1
Room: J134-NORTH BUILDING, 205 Humber College Blvd, 1502, Toronto, Ontario, Canada, M9W 5L7These are two NVIDIA workshops and attendees who have registered must attend both sessions, on March 31st and April 7<a href="http://th.Fundamentals" target="_blank" title="th.Fundamentals">th.Fundamentals of Deep Learning is a hands-on workshop designed by NVIDIA that introduces how businesses use AI, particularly deep learning, to solve real-world challenges across industries such as healthcare, retail, and automotive. Participants learn the fundamentals of training deep learning models, including techniques such as data augmentation and transfer learning. Through practical exercises and a final project, students build models from scratch and leverage pre-trained models, with all hands-on modules running on NVIDIA-hosted cloud resources. Those who complete the project and assessments receive an NVIDIA certificate. Space is limited to 40 <a href="http://participants.More" target="_blank" title="participants.More">participants.More information: <a href="https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/Co-sponsored" target="_blank" title="https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/Co-sponsored">https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/Co-sponsored by: Faculty of Science and Technology, Humber Polytechnic / NVIDIASpeaker(s): Dr. Ernest Namdar, Ernest NamdarAgenda: Learning ObjectivesBy participating in this workshop, you’ll:- Learn the fundamental techniques and tools required to train a deep learning model- Gain experience with common deep learning data types and model architectures- Enhance datasets through data augmentation to improve model accuracy- Leverage transfer learning between models to achieve efficient results with less data and computation- Build confidence to take on your own project with a modern deep learning framework<a href="https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdfRoom:" target="_blank" title="https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdfRoom:">https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdfRoom: J134-NORTH BUILDING, 205 Humber College Blvd, 1502, Toronto, Ontario, Canada, M9W 5L7
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Advancing Clean Energy: Ontario’s Darlington New Nuclear Project and the BWRX-300 Small Modular Reactor
Virtual: https://events.vtools.ieee.org/m/548510Ontario Power Generation’s Darlington New Nuclear Project (DNNP) is at the forefront of deploying Small Modular Reactor (SMR) technology in Canada, anchored by the GE Vernova Hitachi BWRX-300. As North America’s first commercial, grid-scale SMR, DNNP plans up to four units totaling 1,200 MW. The project introduces advanced safety features, including natural circulation cooling, integral isolation valves, and passive heat removal, while supporting thousands of jobs and boosting Ontario’s economy. A collaboration between OPG, GE Vernova Hitachi, AtkinsRéalis, and Aecon-Kiewit, DNNP strengthens Ontario’s clean energy leadership and sets a model for SMR deployment globally. With construction underway, DNNP will help meet rising electricity demand, advance electrification, and deliver reliable, carbon-free power, showcasing nuclear innovation’s vital role in climate action and economic <a href="http://growth.A" target="_blank" title="growth.A">growth.A live Q&A with registered attendees will follow the presentation. Please visit our website at bit.ly/nuclear_series2 for additional details. Recorded webinars will be posted there shortly thereafter for free on-demand <a href="http://viewing.Speaker(s):" target="_blank" title="viewing.Speaker(s):">viewing.Speaker(s): Michael Takla, Event Moderator:Maike LuikenVirtual: https://events.vtools.ieee.org/m/548510
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F1TENTH Autonomous Racing Challenge: From Theory to Real-World Intelligent Systems
Room: Lobby (First Floor), Bldg: Engineering Lab Wing, 3800 Finnerty Rd, Victoria, British Columbia, Canada, V8P 5C2Event DescriptionThe IEEE Young Professionals Victoria Section Affinity Group is pleased to organize the F1TENTH Autonomous Racing Challenge, a hands-on technical competition focusing on robotics, autonomous systems, and intelligent transportation <a href="http://technologies.The" target="_blank" title="technologies.The">technologies.The event will take place on April 1st, 2026 (afternoon) at the ELW Building Lobby (First Floor), University of <a href="http://Victoria.Following" target="_blank" title="Victoria.Following">Victoria.Following the recommendation of the IEEE Victoria Section leadership, this activity is being organized as a joint event in collaboration with multiple IEEE organizational units, including the IEEE Women in Engineering (WIE) Victoria Section Affinity Group, the IEEE UVic Student Branch, and the IEEE VTS/ComSoc Victoria Section Joint <a href="http://Chapter.Participants" target="_blank" title="Chapter.Participants">Chapter.Participants will engage in an autonomous racing challenge using the F1TENTH platform and demonstrate solutions related to perception, localization, planning, and control. The event will also feature technical discussions and networking opportunities to foster collaboration among students, researchers, and young professionals in the local engineering <a href="http://community.Objectives-Promote" target="_blank" title="community.Objectives-Promote">community.Objectives-Promote experiential learning in robotics and intelligent transportation systems-Strengthen collaboration across IEEE affinity groups and technical chapters-Support student-to-young-professional engagement-Increase participation in IEEE technical and volunteer activitiesTarget AudienceUndergraduate and graduate students, postdoctoral researchers, young professionals, and IEEE members interested in robotics, artificial intelligence, and vehicular <a href="http://technologies.---------------------------------------------------------------AcknowledgementSponsored" target="_blank" title="technologies.---------------------------------------------------------------AcknowledgementSponsored">technologies.---------------------------------------------------------------AcknowledgementSponsored by IEEE Young Professionals and the IEEE <a href="http://Foundation.Competition" target="_blank" title="Foundation.Competition">Foundation.Competition awards are additionally supported by the IEEE Victoria <a href="http://Section.Co-sponsored" target="_blank" title="Section.Co-sponsored">Section.Co-sponsored by: IEEE Young Professionals and the IEEE FoundationRoom: Lobby (First Floor), Bldg: Engineering Lab Wing, 3800 Finnerty Rd, Victoria, British Columbia, Canada, V8P 5C2
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End-of-Term Review Meeting
1001 Fanshawe College Blvd, London, Ontario, Canada, N5Y 5R6Provides an opportunity for members and executives to reflect on the activities and accomplishments of the 2025/2026 school year. During this session, the student branch will review key events, initiatives, and milestones while recognizing the contributions of members who supported the branch’s <a href="http://success.The" target="_blank" title="success.The">success.The meeting will also include discussions on upcoming opportunities, future events, and strategic goals for 2026/2027. Members are encouraged to share feedback, ideas, and suggestions to help strengthen the branch’s engagement and impact within the college and the broader engineering and technology <a href="http://community.1001" target="_blank" title="community.1001">community.1001 Fanshawe College Blvd, London, Ontario, Canada, N5Y 5R6
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USask T.I.E. Showcase and Spotlight
Room: Louis Loft (Upstairs), 93 Campus Dr, Saskatoon, Saskatchewan, Canada, S7N 0W6University of Saskatchewan Technology, Innovation, and Engineering Showcase / SpotlightThis event aims to highlight the most outstanding, interesting, and innovative technology being used or developed at the University of Saskatchewan. We’re looking for any sort of research that pertains to the goal of Advancing Humanity and meets the outlined <a href="http://objective.The" target="_blank" title="objective.The">objective.The USask T.I.E. Showcase and Spotlight is a two hour event that aims to highlight the interesting research being developed at the university. It allows an opportunity for students, professors, and grad students to see what amazing work is being done here on campus, and hopefully to learn a thing or <a href="http://two.Room:" target="_blank" title="two.Room:">two.Room: Louis Loft (Upstairs), 93 Campus Dr, Saskatoon, Saskatchewan, Canada, S7N 0W6
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The indispensable role of Pre-Silicon ASIC Validation
Room: 460, Bldg: ENG, 245 Church Street, Toronto, Ontario, Canada, M5B 2K3Please note that we've reached the maximum number of registrations, and the registration is closed. If you like such kind of events, we can arrange follow ups in the future. Thank you for your interest!Join us to explore the world of Pre-Silicon ASIC Validation (also known as Functional or Design Verification), which plays a pivotal role in delivering functional silicon at IP and SoC levels—powering the experiences, products, and services we rely on <a href="http://today.You" target="_blank" title="today.You">today.You will gain insight into the goals and challenges of validation, potential career paths, and the opportunities for innovation in this field. As yesterday’s SoCs—complete with digital, analog, CPU subsystems, and software—evolve into today’s IP blocks, you’ll learn how validation methodologies and tools have scaled to meet these massive technical <a href="http://hurdles.Beyond" target="_blank" title="hurdles.Beyond">hurdles.Beyond high-level strategy, you’ll walk away with a functional understanding of a UVM (Universal Verification Methodology) environment—the industry mainstay for simulation—and the tool automation used to navigate vast validation spaces. A brief demonstration will showcase how constrained-random techniques generate stimulus to exercise a design, exposing bugs that engineers often never imagined <a href="http://existed.Audience" target="_blank" title="existed.Audience">existed.Audience questions and interaction during and after the talk are enthusiastically encouraged!Room: 460, Bldg: ENG, 245 Church Street, Toronto, Ontario, Canada, M5B 2K3
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Fundamentals of Deep Learning-Workshop2
Room: J134-NORTH BUILDING, 205 Humber College Blvd, 1502, Toronto, Ontario, Canada, M9W 5L7These are two NVIDIA workshops and attendees who have registered must attend both sessions, on March 31st and April 7<a href="http://th.Fundamentals" target="_blank" title="th.Fundamentals">th.Fundamentals of Deep Learning is a hands-on workshop designed by NVIDIA that introduces how businesses use AI, particularly deep learning, to solve real-world challenges across industries such as healthcare, retail, and automotive. Participants learn the fundamentals of training deep learning models, including techniques such as data augmentation and transfer learning. Through practical exercises and a final project, students build models from scratch and leverage pre-trained models, with all hands-on modules running on NVIDIA-hosted cloud resources. Those who complete the project and assessments receive an NVIDIA certificate. Space is limited to 40 <a href="http://participants.More" target="_blank" title="participants.More">participants.More information: <a href="https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/Co-sponsored" target="_blank" title="https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/Co-sponsored">https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/Co-sponsored by: Faculty of Science and Technology, Humber Polytechnic / NVIDIASpeaker(s): Dr. Ernest Namdar, Ernest NamdarAgenda: Learning ObjectivesBy participating in this workshop, you’ll:- Learn the fundamental techniques and tools required to train a deep learning model- Gain experience with common deep learning data types and model architectures- Enhance datasets through data augmentation to improve model accuracy- Leverage transfer learning between models to achieve efficient results with less data and computation- Build confidence to take on your own project with a modern deep learning framework<a href="https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdfRoom:" target="_blank" title="https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdfRoom:">https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdfRoom: J134-NORTH BUILDING, 205 Humber College Blvd, 1502, Toronto, Ontario, Canada, M9W 5L7
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Leggett & Platt Tour
459 Industrial Rd, London, Ontario, Canada, N5V 3E5Fanshawe College students have the opportunity to attend a guided tour of Leggett & Platt, a global leader in engineered components and products that serve a wide range of industries, including bedding, furniture, automotive, and aerospace. The tour will provide students with insight into advanced manufacturing processes, innovative product development, and career opportunities within a multinational organization. Please note that students are responsible for arranging their own transportation to and from the Leggett & Platt facility, located at 459 Industrial Rd, London, ON N5V 3<a href="http://E5.Leggett" target="_blank" title="E5.Leggett">E5.Leggett & Platt has confirmed that they're seeking Fanshawe College students to fill co-op positions this upcoming <a href="http://term.IF" target="_blank" title="term.IF">term.IF YOU REGISTER FOR THIS EVENT AND CAN NO LONGER ATTEND, PLEASE UNREGISTER SO OTHER STUDENTS HAVE THE OPPORTUNITY TO <a href="http://PARTICIPATE.PPE" target="_blank" title="PARTICIPATE.PPE">PARTICIPATE.PPE REQUIRED: SAFETY GLASSES & SAFETY SHOESCo-sponsored by: Leggett & Platt459 Industrial Rd, London, Ontario, Canada, N5V 3E5
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IEEE North Saskatchewan Section ExCom Meeting – April 2026
57 Campus Dr, Saskatoon, Saskatchewan, Canada, S7N 5A9, Virtual: https://events.vtools.ieee.org/m/544433IEEE North Saskatchewan Section Meeting - April, 202657 Campus Dr, Saskatoon, Saskatchewan, Canada, S7N 5A9, Virtual: https://events.vtools.ieee.org/m/544433