Events

Please 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

The IEEE Ontario Tech University (OTU) Student Branch is proud to host our exclusive Electrical Engineering Networking Night. This premier event is designed to bridge the gap between our innovative student body and leading industry professionals. We warmly invite engineering managers, technical recruiters, and industry leaders to connect with OTU's brightest upcoming electrical engineers. The evening offers a dynamic platform to share industry insights, discuss emerging technological trends, and discover top-tier talent for future co-op, internship, and full-time <a href="http://opportunities.Ontario" target="_blank" title="opportunities.Ontario">opportunities.Ontario Tech University, Oshawa, Ontario, Canada

Come join us on April 3 for a virtual talk, "Tips & Tricks for Embedded Product Development" by Sai Yamanoor. A 30-minute presentation will be followed by a 30-minute question <a href="http://period.This" target="_blank" title="period.This">period.This talk explores practical tips and tricks for low-cost embedded product development, walking through a real-world example from concept to completion. We'll dive into the challenges faced along the way, and the lessons learned, offering insights that can be applied to your own projects. The talk will also touch on the exciting world of TinyML — how machine learning at the edge is opening new doors for resource-constrained embedded systems and what that means for the next generation of low-cost intelligent <a href="http://devices.Sai" target="_blank" title="devices.Sai">devices.Sai Yamanoor is an Embedded Engineer based in Santa Clara, CA, with over ten years of experience in embedded hardware and software design. He is a co-author of four books on using Raspberry Pi for DIY projects and has presented a Personal Health Dashboard at Maker Faires across the US. Sai is passionate about leveraging technology to improve Quality of Life (QoL) for people with chronic health conditions. His work and projects can be explored at <a href="http://saiyamanoor.com.Speaker(s):" target="_blank" title="saiyamanoor.com.Speaker(s):">saiyamanoor.com.Speaker(s): Sai YamanoorVirtual: https://events.vtools.ieee.org/m/551885

Join us for a reunion and team-building, with the honorary presence of our past-chair. Make this gathering warmer with your <a href="http://presence.Columbus" target="_blank" title="presence.Columbus">presence.Columbus Café, 1370 Rue Sainte-Catherine O, Montréal, Quebec, Canada, H3G 1P8

These 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

Fanshawe 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

ABSTRACT3D perception, the ability to perceive depth and spatial relationships in the world, is fundamental to human cognition and holds immense potential across various sensing domains including robots and intelligent vehicles. The emergence of deep learning-based techniques offers a compellingalternative, potentially enabling 3D vision from monocular camera inputs without additional hardware <a href="http://modifications.This" target="_blank" title="modifications.This">modifications.This talk will delve into the principles and applications of traditional 3D sensing and computer vision methods. Subsequently, we will introduce predictive 3D sensing based on 2D cameras that use machine learning to generate 3D sensing, covering fundamental concepts, common architectures, and training data requirements. We will use intelligent vehicles to illustrate the predictive 3D vision concept including simultaneous localization and mapping (SLAM) and obstacle detection for <a href="http://illustrations.Speaker:" target="_blank" title="illustrations.Speaker:">illustrations.Speaker: Henry Leung, Fellow, IEEE, Professor, University of Calgary, CanadaBio:Henry Leung is the Schulich Industrial Chair Professor of the Department of Electrical and Software Engineering of the University of Calgary. Before joining the University of Calgary, he was with the Department of National Defence (DND) of Canada as a defence scientist. Hiscurrent research interests include information fusion, machine learning, IoT, data analytics, robotics, signal, and image processing. He has published more than 400 journal papers and 300 conference papers. He is an associate editor of various journals such as Scientific Reports, EEESystem, Man, Cybernetic Letters, and Journal of Sensors. He is the editor of the Springer book series on “Information Fusion and Data Science”. He is a Fellow of IEEE, SPIE, Engineering Institute of Canada (EIC), Canadian Academy of Engineering (CAE) and Royal Society of Canada (RSC).Room: Rm MA222, Sexton Campus, Halifax, Nova Scotia, Canada, B3J0H4

IEEE North Saskatchewan Section Meeting - April, 202657 Campus Dr, Saskatoon, Saskatchewan, Canada, S7N 5A9, Virtual: https://events.vtools.ieee.org/m/544433

In a world of rapid technical transformation, the need for Engineers to lead innovation not only as professionals, but <a href="http://entrepreneurs.How" target="_blank" title="entrepreneurs.How">entrepreneurs.How do you transform your idea into a product ?How do you find a market space for your product and unlock a blue ocean ?How can an Engineer become an Entrepreneur and transform the world ?How does the “Startup World Cup” fit into the transformation of your business ?Join for a discussion to share ideas on how an Engineer can become an Entrepreneur and the success via Startup World Cup, with Daya Wimalasuriya, who pitched for a startup at the Startup World Cup 2025 held on 15-17 October 2025 at the Hilton Hotel ( Union Square ), San Francisco, California, USASpeaker(s): Daya Wimalasuriya, Virtual: https://events.vtools.ieee.org/m/544544

Monthly Executive Team Meeting - IEEE Hamilton Section (Apr'2026)Agenda: 07:00PM - Meeting starts08:00PM - Meeting endsVirtual: https://events.vtools.ieee.org/m/547092

The emergence of Non-terrestrial networks (NTN) has become a crucial driver for the next generation of wireless communication systems. NTN encompasses satellite and aerial segments, which can function either as relay nodes or base stations. In the upcoming years, NTN will play a crucial role in supporting universal connectivity where everyone and everything will need to be connected: from any geographic location and including every application from consumer broadband to mobile gaming. These requirements will lead to the development of advanced microwave systems that provide superior connectivity, while minimizing costs. This sector is expected to experience significant growth in the near future. Consequently, researchers worldwide are actively engaged in devising innovative technological solutions that can adapt to diverse scenarios, satisfy performance requirements, and conform to cost, size, and power consumption limitations. The impact of these efforts will be broad, encompassing research and development on antennas, RF integrated systems, integration and semiconductor technology, as well as system design. This presentation reports a multidisciplinary perspective on this topic, which includes a review of current solutions and an examination of emerging configurations from both architectural and technological <a href="http://viewpoints.Speaker(s):" target="_blank" title="viewpoints.Speaker(s):">viewpoints.Speaker(s): , LuigiBldg: Emera IDEA building, 1345 Norma Eddy Ln, Halifax, Nova Scotia, Canada, B3J 0H6, Virtual: https://events.vtools.ieee.org/m/551595

Come to learn and stay for lunch! The kick-off event of the signature Lunch&Learn series of IEEE Young Professionals Ottawa will have Prof. Burak Kantarci, a highly distinguished expert on automated systems and communications, as well as surprises and treats including Turkish coffee!Title: Spectrum Intelligence for 6G and Uncrewed Systems (UxS): Security, Coexistence, and Edge AutonomyAbstract: Uncrewed systems (UxS) are moving from niche applications to large-scale deployments across logistics, infrastructure inspection, public safety, and defence-adjacent operations. What makes or breaks these deployments is not just the autonomy of the platform itself, but the reliability, security, and intelligence of its communications in a crowded and contested spectrum environment. This talk addresses exactly that problem. We show how machine learning is redefining the radio access layer for uncrewed systems operating in shared spectrum: detecting jamming and spoofing at the RF signal level, classifying interference from coexisting users, predicting spectrum occupancy, and enabling dynamic access decisions that protect command-and-control link integrity in real time. Drawing on recent work in deep ensemble learning and RF fingerprinting, we demonstrate how AI models trained on raw IQ and spectral data can expose threats and opportunities in the spectrum that are invisible to conventional signal processing. We then examine how fleets of uncrewed platforms can become active participants in spectrum coordination rather than passive spectrum consumers. Through federated learning and multi-agent reinforcement learning, uncrewed nodes collaboratively develop spectrum access policies adapted to their operational environment, without offloading sensitive mission data to centralized infrastructure. This is precisely the kind of distributed, scalable spectrum intelligence that next-generation shared-access frameworks, including those governing uncrewed systems operations in licensed bands, will require. The talk closes with a forward-looking discussion of how 6G, combined with embedded spectrum intelligence, can serve as the communications backbone for autonomous uncrewed systems ecosystems, enabling safe coexistence, resilient connectivity, and real-time threat response across complex, multi-stakeholder spectrum <a href="http://environments.Bio:" target="_blank" title="environments.Bio:">environments.Bio: Burak Kantarci is a Full Professor and University Research Chair of AI-Enabled Secure Networking for Smart Critical Infrastructures in the Faculty of Engineering at the University of Ottawa. He is the founding director of the Smart Connected Vehicles Innovation Centre, the first academic-industry research laboratory in Canada's largest technology hub at Kanata North Technology Park. His current research focuses on machine learning for spectrum intelligence, RF security, and resilient 6G communications, with a particular emphasis on uncrewed aerial and ground systems operating in shared and contested spectrum environments. His work spans dynamic spectrum access, coexistence management, jamming detection, and distributed edge intelligence, with active industry collaborations aimed at enabling secure and autonomous uncrewed systems communications at scale. He is the author or co-author of more than 300 publications in established journals and conferences, and holds a PhD in Computer Engineering from Istanbul Technical University. He is a recipient of the King Charles III Coronation Medal (Canadian version), the Minister's Award of Excellence from the Ontario Ministry of Colleges and Universities (2021), and the 2023 Technical Achievement Award of the IEEE ComSoc Communications Software Technical Committee. Recent research honours include the 2024-2025 George S. Glinski Award for Excellence in Research in the Faculty of Engineering at the University of Ottawa, the 2025 IEEE Ottawa Section Outstanding Engineering Educator Award, and the 2026 Professional Engineers Ontario-Ottawa Chapter Engineering Excellence Award. He holds the Exemplary Editor Award from IEEE Communications Surveys and Tutorials (2021) and multiple best paper awards from leading venues including IEEE Globecom 2024, IEEE VCC 2023, IEEE ICC 2023, Wireless World Research Forum 2022, and IEEE Globecom 2021. He serves as Editor of IEEE Communications Surveys and Tutorials and IEEE Transactions on Network Science and Engineering, Associate Editor of IEEE Networking Letters, IEEE Transactions on Industrial Informatics, and Vehicular Communications (Elsevier). He is a Distinguished Lecturer of the IEEE Communications Society and the IEEE Systems Council, and was a Distinguished Speaker of the Association of Computing Machinery (ACM) from 2019 to 2021. He is a Senior Member of both the IEEE and the <a href="http://ACM.This" target="_blank" title="ACM.This">ACM.This event is co-hosted by IEEE joint Chapters of Signal Processing/Oceanic Engineering/Geoscience and Remote Sensing in Ottawa and IEEE Women In Engineering (WIE) <a href="http://Ottawa.Speaker(s):" target="_blank" title="Ottawa.Speaker(s):">Ottawa.Speaker(s): Prof. Burak KantarciAgenda: - Welcoming and introduction- Talk by Prof. Burak Kantarci- Lunch and networkingRoom: RBCx Finance Quarter, Bldg: Hub350, 350 Legget Dr, Kanata, ON , Ottawa, Ontario, Canada, K2K 3N1