Events

Abstract :The intersection of programmable communications and renewable energy systems is creatingnew opportunities for smarter, more sustainable power generation. This lecture examines theways software-defined networking concepts are reshaping connectivity in solar power plants,particularly in heliostat fields where conventional wired control architectures are often too costlyand difficult to scale. It highlights an emerging architecture based on centralized networkcontrol and virtualized network functions, designed to provide robust wireless coordination forlarge heliostat deployments. By supporting adaptive sun-tracking through intelligent spectrumallocation and routing strategies that account for interference, this framework shows howvirtualization methods originally developed for telecommunications can significantly improve theperformance and flexibility of renewable energy operations. More broadly, the work points to afundamental shift in infrastructure design, with software-defined systems serving as thefoundation of future energy ecosystems capable of autonomously optimizing generation inresponse to changing environmental factors and grid requirements. Its broader relevancespans industrial IoT and critical infrastructure, demonstrating a path toward highly adaptive,network-driven energy <a href="http://platforms.Speaker(s):" target="_blank" title="platforms.Speaker(s):">platforms.Speaker(s): Dr. Eirini Eleni Tsiropoulou, Room: Conference room Videotron (E2033) , Bldg: Pavillon E (Maison des étudiants) , École de technologie supérieure (ÉTS), Montréal, Quebec, Canada, H3C 1K5

“The event will feature a showcase of student projects that meet the selection criteria, a panel discussion with experts, and a student competition where participants deliver three-minute <a href="http://presentations.”Co-sponsored" target="_blank" title="presentations.”Co-sponsored">presentations.”Co-sponsored by: Maryam DavoudpourToronto, Ontario, Canada

Join us on June 24 as we celebrate IEEE Women in Engineering Day with an inspiring event dedicated to empowering women in engineering and technology. Building on the success of our “Together We Bloom” spring event, this celebration marks the next step in our journey—transforming growth into action and <a href="http://impact.The" target="_blank" title="impact.The">impact.The event will feature engaging speakers, interactive discussions, and valuable networking opportunities designed to highlight the achievements, challenges, and future of women in engineering. Together, we aim to foster a supportive community that encourages innovation, leadership, and <a href="http://inclusion.We" target="_blank" title="inclusion.We">inclusion.We are honored to welcome our keynote speakers, Fatemeh Soltani, Senior Technical Lead in silicon photonics design at Ranovus, and Maryam Havakeshian, AI Data Scientist at Ericsson. Their insights and experiences will inspire meaningful conversations and empower the next generation of <a href="http://leaders.We" target="_blank" title="leaders.We">leaders.We are also excited to feature our special guest, Miss Rocket, author and founder of the Try and Thrive Movement, bringing a powerful and creative perspective to the <a href="http://event.Whether" target="_blank" title="event.Whether">event.Whether you are a student, professional, or ally, be part of a movement that empowers women to engineer a better <a href="http://tomorrow.Agenda:" target="_blank" title="tomorrow.Agenda:">tomorrow.Agenda: Event Agenda – June 2411:30 AM – 12:00 PMCoffee Break & Networking12:00 PM – 12:05 PMWelcome & Opening Remarks12:05 PM – 12:25 PMKeynote Talk – Fatemeh Soltani12:25 PM – 12:30 PMTransition Break12:30 PM – 12:45 PMKeynote Talk – Maryam Havakeshian12:45 PM – 12:55 PMSpecial Guest Booth – Miss Rocket12:55 PM – 1:00 PMClosing Remarks & Networking350 Legget Dr, Kanata, ON K2K 3N1, Kanata, Ontario, Canada

This presentation outlines a practical pipeline for distilling large language models into compact, in-house alternatives using mature teacher models. We focus on retrieval-augmented generation workflows, where distilled students must learn context grounding, citation discipline, and latency-efficient behavior. The methodology covers data curation from teacher-generated RAG trajectories, constrained supervised fine-tuning with context masking, and evaluation using faithfulness, robustness, and efficiency <a href="http://metrics.We" target="_blank" title="metrics.We">metrics.We demonstrate end-to-end integration with the Hugging Face platform, leveraging Model Hub for teacher selection, Datasets for curated training data, trl and peft for parameter-efficient training, Spaces for interactive validation, and Leaderboards for community benchmarking. Comparative analysis shows distillation achieves 85–95% of teacher performance at 20% inference cost, enabling deployable, privacy-compliant RAG <a href="http://systems.The" target="_blank" title="systems.The">systems.The talk concludes with mitigation strategies for common pitfalls and future directions in agentic and multi-teacher <a href="http://distillation.Speaker(s):" target="_blank" title="distillation.Speaker(s):">distillation.Speaker(s): Zichao Li, Agenda: 7:00PM - Introduction of IEEE Hamilton Section7:15PM - Presentation8:00PM - Q&A8:15PM - RefreshmentsRoom: Multipurpose Room 3, Bldg: Trafalgar Park Community Centre, 133 Rebecca St,, Oakville,, Ontario, Canada, L6K 1J5

IEEE OES-GRSS-APS Invited Technical Talk 2Speaker: Dr. Kegen YuTitle：Monitoring Ocean States with Spaceborne GNSS ReflectometryAbstract: Global Satellite Navigation System Reflectometry (GNSS-R) is an emerging remote sensing technology that is increasingly widely used in Earth observation, environmental parameter retrieval, and monitoring of marine and terrestrial disasters. This talk primarily discusses the use of spaceborne GNSS-R technology for monitoring ocean conditions, selecting three ocean parameters—sea surface wind speed and direction, and sea surface wave height—as retrieval targets. It focuses on studying how to construct ocean parameter retrieval models using machine learning algorithms under the condition of sufficient observational data samples. Model training primarily utilizes GNSS-R observation data from China's Fengyun-3E and the U.S. CYGNSS satellites, along with several ocean parameter product datasets as reference data. Through extensive experimental data processing, the model's performance was validated, demonstrating that spaceborne GNSS-R technology can be applied to monitor ocean conditions and serve as an effective supplement to existing ocean monitoring <a href="http://techniques.Time:" target="_blank" title="techniques.Time:">techniques.Time: 3pm-4pm NST, 14 July, 2026Location: CSF-1203, Memorial UniversitySpeaker(s): Kegen Yu, Room: 1203, Bldg: CSF, St. John's, Newfoundland and Labrador, Canada

[]Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a technical talk presented by Dr. Meiying Qin from York <a href="http://University.Thursday" target="_blank" title="University.Thursday">University.Thursday, July 23, 2026 @ 2:00 – 3:00 PM (EST)Abstract:This talk introduces first year CS students to Human Robot Interaction, a field that explores how people perceive, respond to, and collaborate with robots. Through examples ranging from assistive devices to social robots in education and therapy, we will look at how design choices shape human behavior, trust, and engagement. The session highlights why people attribute agency and intention to machines, how embodiment influences compliance, and what these cognitive effects mean for building responsible and effective robotic <a href="http://systems.Speaker(s):" target="_blank" title="systems.Speaker(s):">systems.Speaker(s): , Meiying Qin, <a href="http://Ph.D.Virtual:" target="_blank" title="Ph.D.Virtual:">Ph.D.Virtual: https://events.vtools.ieee.org/m/559756

This keynote provides a comprehensive overview of major scientific and technological advances achieved over more than a decade of collaboration between Renault/Ampere and Centrale Nantes–LS2N within an industrial research chair dedicated to electric <a href="http://mobility.The" target="_blank" title="mobility.The">mobility.The research activities presented cover three main interconnected domains in electric mobility systems. The first domain focuses on AC motorand converter control for EV/HEV applications, including sensorless control strategies for AC machines with emphasis on position estimation and torque monitoring, as well as advanced control of DC–AC power converters. The second domain addresses energy management and control strategies for EV/HEV charging and discharging systems. This includes global energy management approaches and DC bus regulation techniques for EV/HEV chargers, and automated generation of VHDL code for embedded control implementation. The third domain concerns the control and optimization of EV/HEV powertrains, including the control of batteryless series hybrid electric vehicles and energy management strategies for electric vehicles powered by fuel cell–supercapacitor hybrid systems. A particular emphasis is placed on the successful transition from academic research to industrial deployment, with several control and estimation algorithms currently exploited by Renault <a href="http://Group.Overall" target="_blank" title="Group.Overall">Group.Overall, the talk aims to synthesize the main research directions developed within the Chair, highlighting how advances in nonlinear control theory contribute directly to next-generation electric mobility <a href="http://systems.Speaker(s):" target="_blank" title="systems.Speaker(s):">systems.Speaker(s): Malek Ghanes, Room: A2473, Bldg: Pavillon A, École de technologie supérieure, 1100 Notre-Dame St W, Montreal, Quebec, Canada, H3C 1K3

Speaker(s): Dr. Sima NoghanianRoom: EIT-3151, Bldg: EIT, University of Waterloo, Waterloo, Ontario, Canada, Virtual: https://events.vtools.ieee.org/m/559755