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

IEEE Resume Roast is back for another year! Join us on Monday, October 6th, 5:30pm onwards at the Sexton Campus, Dalhousie University for IEEE Resume Roast 2025, where a panel of industry experts review student-submitted resumes. There will be light refreshments available. If you are interested in submitting your resume for this event, please email it to [email protected] with the subject line: Resume Roast Submission. Deadline for submission is October 2nd, 5pm (Thursday). Disclaimer: resumes may be displayed at the event. We will be scrubbing any personal information, and the resumes will be kept confidential to the best of our ability. This event is co-hosted by IEEE Dalhousie Student Branch, and Young Professionals (Canadian Atlantic Section) Halifax, Nova Scotia, Canada

This presentation discusses high power monolithic microwave integrated circuit (MMIC) power amplifier (PA) design in Gallium Arsenide (GaAs) and Gallium Nitride (GaN). At a high level, GaN versus GaAs semiconductor technology from the perspective of power amplifier design metrics is analyzed to help determine the relative advantages and disadvantages of each technology. This is followed with an introduction of the most prevalent MMIC design topologies for the bulk of microwave applications which include reactively matched, non-uniform distributed, balanced, push-pull, Doherty and serially combined. Following introduction of the main topologies, the presentation focuses on the potential pitfalls the MMIC designer can encounter with detailed discussion on how to avoid them with the goal of first past design success. The presentation relies on experience from the author’s career with over 20 years of experience in the defense and commercial industries as well as academia. MMIC designers will appreciate the candid explanation of the design topologies and pitfalls while non-designers will come away with a good working knowledge of what can be achieved and what to watch out for. Co-sponsored by: Staracom Virtual: https://events.vtools.ieee.org/m/502482

Join us for the second session of the exciting webinar series on "New Frontiers in Signal Processing in 6G Wireless Networks", a collaboration between IEEE Signal Processing, IEEE Communications Society chapters in Ottawa, and IEEE ComSoC Young Professionals. Register now and stay tuned for updates on upcoming speakers and topics! Speaker(s): Prof. Emil Bjornson Agenda: Massive MIMO is a cornerstone of 5G cellular networks, unlocking unprecedented capacity through spatial multiplexing. Unfortunately, this performance enhancement comes at the cost of using many hardware components. The Massive MIMO philosophy is the abundance of service antennas, e.g., 64 base station antennas to send 8 data layers, when 8 antennas would theoretically suffice. This overprovisioning isn’t accidental; it ensures favorable propagation conditions so that most user channels are compatible for multiplexing, regardless of the channel environment. But as we move toward 6G, this approach becomes unsustainable since the number of antennas must grow much quicker than the network capacity. In this seminar, we’ll explore a bold shift in multi-user MIMO design: achieving high capacity with fewer antennas per data layer. The key lies in smarter, site-specific antenna architectures. By moving beyond conventional half-wavelength-spaced uniform arrays, we can unlock the potential gains of sparse arrays, non-uniform geometries, transmissive intelligent metasurfaces, and even physically movable elements. These techniques promise a new era of scalable MIMO technology—tailored for real-world deployments and intelligently optimized for 6G spatial multiplexing without requiring an abundance of antennas. Virtual: https://events.vtools.ieee.org/m/503863

IEEE North Saskatchewan Section Meeting 57 Campus Dr, Saskatoon, Saskatchewan, Canada, S7N 5A9, Virtual: https://events.vtools.ieee.org/m/469124

The IEEE OES Oceanography and Meteorology Technology Committee welcomes you to this invited talk! Speaker: Dr. Domenico Cimini (National Research Council of Italy, Institute of Methodologies for the Environmental Monitoring) Title: Microwave Radiometry: From Uncertainty to Networking Abstract: Nowadays, ground-based microwave radiometers (MWR) are robust instruments providing continuous unattended operations and real-time atmospheric observations under nearly all-weather conditions. Ground-based MWR observations have the potential to help fill the observational gap in the atmospheric boundary layer, which is crucial for several applications including Numerical Weather Prediction (NWP), renewable energy yield, and air quality monitoring. In addition, long-term MWR observations are useful to complement radiosonde observations for reference-quality climate monitoring of upper-air. This lecture will review analyses and tools developed in the last decade to foster the use of ground- based MWR networks for various applications, including MWR instrument calibration, absorption model uncertainty characterization, radiative transfer codes, and initiatives for implementing MWR operational networks. Time: 10:30am on 8 October 2025 Seminar Link: https://mun.webex.com/meet/weimin Speaker(s): Domenico Cimini, Virtual: https://events.vtools.ieee.org/m/501903

To celebrate IEEE Day, IEEE BCIT is planning an alumni panel featuring BCIT graduates who are now Engineers-in-Training (EITs). The session will provide current students with insight into the transition from studying electrical engineering to beginning their professional careers. Alumni will share their experiences and challenges, followed by a Q&A where students can engage directly with the speakers. There will be a networking session at the end of the event. This event is intended to create a supportive learning environment where students can better understand the path from academics to industry. Information Collection Notice Your personal information will be used to track event registration and send you event related communications. This information will also be shared with the BCIT Alumni office to track engagement. If you are BCIT alumni, this information may be used to inform you about the benefits of BCIT and BCIT Alumni Association career, educational, volunteer, networking, award, and social programs; provide you with information about alumni benefits and services; facilitate alumni participation in research projects, surveys, and fundraising and development activities; and administer elections for Institute and Alumni Association governing bodies. Your contact information may also be disclosed, under strict confidentiality agreements, to third party service providers solely for the provision of mailing or telephone services on behalf of BCIT or the BCIT Alumni Association. [] Speaker(s): Jonathan Dearden, Clinton Gaudet Agenda: 2:30-3:00 Registration & Networking 3:00-3:05 Intro 3:05-3:30 Presentation by Jonathan Dearden 3:30-3:55 Presentation by Clinton Gaudet 4:00-4:40 Break (refreshment) 4:40-5:10 Panel discussion and Q&A 5:10-5:40 Networking Room: 110, Bldg: SW09, 3700 Willingdon Ave, Burnaby, British Columbia, Canada, V5G 3H2

Monthly Executive Team Meeting - IEEE Hamilton Section (Oct'2025) Agenda: 07:00PM - Meeting starts 08:00PM - Meeting ends Virtual: https://events.vtools.ieee.org/m/503869

The University of Waterloo APS/MTTS Branches, in collaboration with the IEEE Waterloo Young Professional Affinity Group and Ottawa Section joint APS/MTTS chapter, invite you to join a free virtual talk by Eric Luvisotto. This session covers the basics of Intellectual Property (IP) protection with a focus on patents. You’ll learn about the different types of IP protection available and some of the most common pitfalls to avoid. Learn about the resources available to you at the University of Waterloo, including the Waterloo Commercialization Office (WatCo). Hear how IP is used to commercialize technology through licensing or start-up creation. Included is a brief discussion on “Are You an Inventor?”, this highlights some key points for consideration as this issue has come up when there may be a misunderstanding between Faculty and Grad Students. Also included are some helpful tips for those interested in creating a Start-Up. 📅 Date: Thursday, October 10th 🕒 Time:12:00pm - 1:30pm EST 📍 Location: Online TEAMS Invite Speaker(s): Eric Virtual: https://events.vtools.ieee.org/m/500195

Cooperation in multi-robot systems is a challenging task. The desired outcome for the group must be achieve through agents that often perceive/act based on their own point of view and interests. To achieve a certain form of "agreement" between the agents, different algorithms have been studied, such as network control, auction, or optimization methods. These can be computed by a central entity, which simplifies modeling the problem, or be inherently decentralized, which scales well for large number of agents. In this presentation we explore the techniques that have been used to coordinate the action of multiple intelligent and autonomous agents. Also, we see how machine learning techniques (RL) or the state-of-the-art language models (e.g., ChatGPT) can be applied to improve system's performance. --------------------------------------------------------------- Dr. Kleber Cabral holds a doctorate from the Royal Military College of Canada (RMC, 2022). He is currently a Postdoctoral Fellow and an Adjunct Professor at Queen's University. His research involves robotic and applied AI. He focused on multi-robotic systems, and the problem within, such as control and decision making. In the past, Dr. Cabral has investigated the use of network control, graph theory for decentralized autonomous construction problems. Currently, his research involves applying machine learning to multi-robot problems, exploring state-of-the-art modelling and solutions based on game theory and learning using language models. Speaker(s): Kleber Cabral, Virtual: https://events.vtools.ieee.org/m/502702