YOU'RE INVITED! Join the IEEE Queen's Branch in welcoming Dr. Jawad Siddiqui from the IEEE Antennas and Propagation Society to speak with students about new work in antennas for the space domain, as well as the opportunities available to students through the IEEE. All students are welcome! The talk will explore the evolving role of antenna technologies in modern space applications, with a particular focus on CubeSats and rocket platforms. It will discuss key challenges such as size constraints, thermal management, deployment mechanisms, and radiation effects, as well as emerging trends in adaptive, reconfigurable, and additive-manufactured antennas designed for the space environment. The presentation will also highlight opportunities for students and professionals to engage with the IEEE Antennas and Propagation Society (AP-S), including the benefits of membership and participation in its SIGHT (Special Interest Group on Humanitarian Technology) initiatives that apply antenna and propagation technologies for societal impact. The speaker will welcome questions from the audience. The seminar will end with an interactive discussion with the speaker about opportunities for students in the IEEE. These include best practices for achieving funding awards through the IEEE, with a focus on the AP-S. Co-sponsored by: Abedal Rahman Shehabi Speaker(s): Dr. Siddiqui Room: 314, Bldg: Walter Light Hall, 19 Union St, Kingston, Ontario, Canada

We will be hosting our November meeting on Sunday, November 23rd from 10:00-11:00 AM, likely in person in MCLD. During this meeting, we will: - Share updates from each of your respective groups on all ongoing initiatives - See how the technical societies are shaping up - Address any questions you may have - Discuss the upcoming Career Fair next week and the Battle Royale event planned for February - Review the events plan for next semester and clarify your roles moving forward - Make some content for promotional material This is an opportunity to connect with the team and align on our goals for the rest of the year before the break (and before finals are imminent...) Vancouver, British Columbia, Canada

Despite the rapid advances in Large Language Models (LLM), research efforts have historically focused disproportionately on high-resource languages, particularly English, leaving over 7,000 living languages underserved. We address the fundamental challenge of bridging the gap of low-resource language (LRL) translation in multilingual language models. Low-resource languages are typically characterized by a scarcity of both unlabeled and labeled data, as well as limited tools and models. This talk explores strategies aimed at bridging the gap of low-resource language (LRL) translation in multilingual models, where LRLs are characterised by a limited scarcity of both unlabeled and labelled data, as well as limited tools and models. Speaker(s): Dr. Lee, Room: 313, Bldg: Bergeron Centre for Engineering Excellence, 11 Arboretum Ln, North York, Ontario, Canada, M3N 3A7

Abstract: The ongoing advancement of technology, combined with innovations in material processing, has driven the evolution of advanced sensor systems, expanding their use across a wide range of industries. Concurrently, the rise of the Internet of Things (IoT) has significantly contributed to market growth. Sensors, which are integral to IoT devices, are experiencing increased demand as the IoT market continues to expand. This trend is anticipated to persist, with projections of billions of connected devices globally. From a technological perspective, 5G revolutionizes IoT and sensor networks with unmatched speed, low latency, and broad connectivity, enabling real-time data transfer and improved efficiency across various applications. Looking ahead, 6G is set to offer even lower latency, higher data rates, and better reliability, integrating AI and expanding XR capabilities, thus exceeding 5G's impact. Currently, 5G can support ~1M IoT devices per square kilometer, with 6G expected to support ~10 M devices per square kilometer by 2030. However, these advancements also raise concerns about increased energy consumption, a larger carbon footprint, and the environmental impact, including the surge in electronic waste (e-waste) from the rapid deployment and obsolescence of connected devices. As a proactive approach, exploring alternative materials such as biodegradable polymers, graphene, and other nanomaterials, along with advancing electromagnetic techniques for more efficient operation, is inevitable for these emerging platforms to achieve more sustainable and eco-friendly solutions. In this presentation, I will be talking about recent developments in integrating novel materials into microwave structures for emerging sensing applications. Materials such as MXene and conductive polymers will be discussed as alternative replacements for conventional metal-based structures, enabling 3D printing and manufacturing of antennas and communication systems in space, supporting sustainable infrastructure and advancing deep space exploration and communication networks. Speaker Bio: Mohammad H. Zarifi (Ph.D. PEng, PRC Tier II, SMIEEE), is currently an Associate Professor and Tier II Principal’s Research Chair (PRC) in Sensors and Microelectronics at the School of Engineering at the University of British Columbia, and the director of Okanagan MicroElectronics and Gigahertz Applications laboratory (OMEGA Lab), Canada. Dr. Zarifi has authored or co-authored more than 150 papers in peer-reviewed journals and conference proceedings and holds six issued or pending patents. Dr. Zarifi’s research focuses on Applied Electromagnetics and Circuits and Systems for Communications and Sensing Applications. Dr. Zarifi has received the Emerging Researcher Award and the Best Teaching Award at the School of Engineering in 2020 and 2021, respectively. He is also an IEEE MTT-S Distinguished Microwave Lecturer for the class of 2024-2027. Bldg: ICT 516, University of Calgary, Calgary, Alberta, Canada

This event would take place during finals period and would allow us to create a cozy environment to help students during this stressful time through multiple holiday themed stations hot chocolate or gingerbread decorating stations. These events foster community, mentorship, creativity and a sense of belonging, helping new students feel supported and engaged from day one. Ottawa, Ontario, Canada

ABSTRACT: The compute demands of AI and robotics continue to rise due to the rapidly growing volume of data to be processed; the increasingly complex algorithms for higher quality of results; and the demands for energy efficiency and real-time performance. In this talk, we will discuss the design of efficient tailored hardware accelerators and the co-design of algorithms and hardware that reduce the energy consumption while delivering swift real-time and robust performance for applications including deep neural networks, data analytics with sparse tensor algebra, and autonomous navigation. Throughout the talk, we will highlight important design principles, methodologies, and tools that can facilitate an effective design process and various forms of co-design that can broaden the design space. BIO: Vivienne Sze is a professor in the Electrical Engineering and Computer Science Department at MIT. She works on computing systems that enable energy-efficient machine learning, computer vision, and video compression/processing for a wide range of applications, including autonomous navigation, digital health, and the internet of things. She is widely recognized for her leading work in these areas and has received awards, including faculty awards from Google, Facebook, and Qualcomm, the Symposium on VLSI Circuits Best Student Paper Award, the IEEE Custom Integrated Circuits Conference Outstanding Invited Paper Award, and the IEEE Micro Top Picks Award. As a member of the Joint Collaborative Team on Video Coding, she received the Primetime Engineering Emmy Award for the development of the High-Efficiency Video Coding video compression standard. She is a co-editor of High Efficiency Video Coding (HEVC): Algorithms and Architectures (Springer, 2014) and co-author of Efficient Processing of Deep Neural Networks (Synthesis Lectures on Computer Architecture, Morgan Claypool, 2020). For more information about Prof. Sze’s research, please visit (https://can01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fsze.mit.edu%2F&data=05%7C02%7Ckelly.hunter%40mail.utoronto.ca%7C0c1d2bb1b79a45865a2f08de1bb0ba44%7C78aac2262f034b4d9037b46d56c55210%7C0%7C0%7C638978643061187412%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=rBYJubhz5nDvA8lPUSMBcl2TGsc9ZebyegOiKWWoVtg%3D&reserved=0). Speaker(s): Vivienne Room: MC252, Bldg: Mechanical Engineering Building, 5 King's College Road, Toronto, Ontario, Canada, M5S3G8

Join us for the IEEE Victoria Section Annual General Meeting (AGM) 2025! This meeting provides an opportunity to reflect on the section’s activities over the past year, share future plans, and connect with fellow IEEE members in our local community. Your participation and feedback are valuable as we continue to grow and strengthen our section. Please RSVP by November 17, 2025, to help us plan accordingly. ***CANCELED*** Room: ECS 660, Bldg: Engineering and Computer Science Building (ECS), 3800 Finnerty Road, Victoria, British Columbia, Canada, V8P 5C2

How do we recognise that we're working with a complex system, and what guidance can be provided for someone starting such a development from scratch (unlikely) or having to rework an existing complex system (more likely)? I'm currently working with an engineer in the UK, looking at how cars and trucks with vehicle-to-vehicle and vehicle-to-infrastructure communications are going to affect the smart motorways they have in the UK, and we're learning a lot. Speaker(s): Chris Hobbs, Agenda: Weblink will be open 10min. prior to the start. The event will start on time. There will be a Q&A opportunity: type the question into chat during the presentation, and it will be addressed either during or after the presentation (may also allow spoken questions depending on the time or number of questions posed). Virtual: https://events.vtools.ieee.org/m/513300

2nd Annual ECESS × UBC IEEE Career Fair Date: November 26, 2025 Location: University of British Columbia Campus (TBD) After the huge success of last year’s inaugural event, we’re thrilled to bring back the 2nd Annual ECESS × UBC IEEE Career Fair, co-hosted by the UBC Electrical and Computer Engineering Student Society (ECESS) and the UBC IEEE Student Branch. This flagship recruiting event connects UBC’s top electrical, computer, and software engineering students with leading companies across technology, energy, and engineering sectors. Last year’s fair welcomed 1000+ students and 20 industry partners. This year, expect an even bigger turnout, new exhibitors, and more opportunities to network, explore internships and learn about the latest innovations in industry. For Students: - Meet recruiters and engineers from top tech companies - Explore internship, co-op, and new-grad opportunities For Companies: If your organization is interested in recruiting, sponsoring, or partnering, please contact us at [email protected] for more details! Highlights from Last Year: Vancouver, British Columbia, Canada

Technical Seminar by IEEE Solid-State Circuits Society Distinguished Lecturer, Dr. Tony Chan Carusone, with the following abstract: In the rapidly evolving landscape of artificial intelligence, chiplets are emerging as a transformative technology, paving the way for the next generation of AI systems. Chiplets permit the integration of more processing power within a single package, and allow for new connectivity solutions so that thousands of AI accelerators can work as a cohesive unit. Optical connectivity, facilitated by chiplets, offers high-speed data transmission with lower power consumption, crucial for handling the massive data loads in AI applications. The emerging chiplet ecosystem, underwritten by high-performance die-to-die interfaces, is throwing open the doors of innovation and facilitating the next wave of AI scaling. Speaker(s): Tony Chan Carusone, Room: 3038, Bldg: Macleod Building, 2356 Main Mall, Vancouver, British Columbia, Canada, V6T 1Z4