The IEEE APS Student Branch Chapter is back for one last event in this executive year! It has truly been our honor to serve you over the past year. We’re proud to have wrapped up this term with multiple invited talks, including an APS Distinguished Lecturer and an industry speaker, along with social events and, of course, our annual Go tournament! Now it’s time for a new executive team to take the lead and continue growing this chapter. With that, we will be holding the UofT IEEE APS Student Branch Chapter Election on Thursday, December 4th, at 11:30 AM in BA 7180. Since this is our first event of the semester, we’re also excited to welcome the new members of the EM group. It’ll be a great chance for everyone, new and returning, to meet, reconnect, and enjoy lunch together. Call for Executive Members: Elections mean you can become part of the next executive team. The available positions are: Chair Vice-Chair Treasurer and Web-master Secretary This is a fantastic opportunity to gain leadership experience, organize technical and social events, network with experts in the field, strengthen your CV, and help grow the chapter. Executives are also eligible to apply for a travel grant to attend the Chapter Chairs’ Meeting held during the MAPCON conference. If you’re interested in running for any of these positions (one or more), please email hanieh.kianiamiri@mail.utoronto.ca Whether you’re running, supporting a friend, or simply joining us for lunch and good company, you’re warmly welcome to attend. If you have any dietary restrictions, please let us know in advance. We look forward to seeing you all there! https://edu.ieee.org/ca-uotaps/home/ Room: BA7180, Bldg: Bahen Centre for Information Technology, 40 St. George Street Toronto, ON, M5S 2E4, Toronto, Ontario, Canada, M5S 2E4

DRIVING AI-NATIVE RAN INNOVATION WITH THE SIONNA RESEARCH KIT Dr. Sebastian Cammerer, Senior Research Scientist, NVIDIA Registration Link: []https://events.vtools.ieee.org/m/517965 Host: IEEE (mailto:messaoud.ahmed.ouameur@uqtr.ca?subject=From%20Propagation%20Models%20to%20Physics-Based%20Digital%20Twins%20of%20Emerging%20Wireless%20Communication%20Systems%20-%20Saint%20Maurice%20Sect%20Chap,%20COM19) When: December 2nd at 10H30 AM EST Via zoom: https://uqtr.zoom.us/j/81521084215?pwd=bchQDndZg7DTlpVuaeag6bhGwaOvn9.1 Meeting ID: 815 2108 4215 Password: 018477 ABSTRACT AI will become a cornerstone of future wireless communication systems, enabling radio access networks (RANs) that dynamically adapt to specific radio frequency (RF) environments and enhance their performance even after deployment. Novel paradigms such as end-to-end learning for pilotless transmissions and semantic communications add to the transformative potential of AI. Integrating neural network components into the signal processing pipeline of wireless transceivers poses research challenges, particularly in meeting the stringent, often sub-millisecond, inference latency required by RANs. As such, the full potential of AI-native RANs depends on three main factors: (a) the development of robust software tools, (b) the deployment of specialized hardware platforms for real-time AI acceleration, and (c) the design of fundamentally new transceiver algorithms. In this talk, we outline a path toward prototyping an AI-native RAN using the Sionna Research Kit—an open-source platform designed for development, training, and deployment of AI-native wireless communication systems. We present a 5G NR-compliant real-time neural receiver connected to commercial user equipment, demonstrating how research ideas can be rapidly transformed into over-the-air prototypes using open-source tools. To foster collaboration and accelerate progress in the field, all experiments and results will be made openly available, lowering the barrier to entry and enabling researchers worldwide to translate their ideas into real-world wireless communication systems. BIOGRAPHY Dr. Sebastian Cammerer is a Senior Research Scientist at NVIDIA, working at the intersection of wireless communications and machine learning. He is one of the core developers and maintainers of the Sionna open-source link-level simulator. Before joining NVIDIA, he received his PhD in Electrical Engineering and Information Technology from the University of Stuttgart, Germany. His main research interests are machine learning for wireless communications and channel coding. His work has been recognized with several awards, including the VDE ITG Dissertationspreis 2022, the IEEE SPS Young Author Best Paper Award 2019, and third prize in the Nokia Bell Labs Prize 2019. Speaker(s): Dr. Cammerer, Virtual: https://events.vtools.ieee.org/m/517965

[] Welcome to the a new look for the IEEE Toronto AGM where we invite everyone to mingle and expand their network. Enjoy a trendy and private venue with drinks, appetizers, and food stations serving dinner. The event will feature short presentations from keynote speaker Danny Christidis, and presentations by the IEEE Toronto officers. Parking is available for an additional fee in nearby Green P lots (see the map below). Transit is reommended where possible. Twist Gallery, 1100 Queen Street West, Toronto, Ontario, Canada, M6B 3J7