The (https://vancouver.ieee.ca) and the IEEE Future Directions Committee are organizing a series of presentations to address the widespread interest in clean energy sources, new nuclear reactor technologies, and the various related issues. This series of talks will cover aspects of nuclear energy and the disruptive new technology of Small Modular Reactors. These presentations will be of interest both to engineers who are not nuclear specialists, and to the general public who are interested in learning about the <a href="http://technology.TOPIC:Micro-Nuclear" target="_blank" title="technology.TOPIC:Micro-Nuclear">technology.TOPIC:Micro-Nuclear Energy: A National Strategic Technology Imperative to Secure Canada’s Arctic SovereigntyDATE: June 18, 2025LOCATION: OnlinePRESENTER: Mr. Peter LangMr. Peter Lang will address the increasing threat to the sovereignty of Canada’s arctic borders, and examine the critical role that energy plays in implementing sovereignty enhancing measures. Micro-nuclear energy plants offer an enduring, zero-emissions energy solution to meet the unique energy requirements of our Arctic military and civilian communities for decades to <a href="http://come.This" target="_blank" title="come.This">come.This presentation is free. IEEE members and the general public are welcome to attend. Registration is <a href="http://required.This" target="_blank" title="required.This">required.This presentation series is organized by:- (<a href="https://ieee-sustech.org/2023/ieees-sustech-initiative/)-" target="_blank" title="https://ieee-sustech.org/2023/ieees-sustech-initiative/)-">https://ieee-sustech.org/2023/ieees-sustech-initiative/)- (<a href="https://vancouver.ieee.ca/physics)This" target="_blank" title="https://vancouver.ieee.ca/physics)This">https://vancouver.ieee.ca/physics)This presentation series is supported by:- (<a href="https://ieee-npss.org/)-" target="_blank" title="https://ieee-npss.org/)-">https://ieee-npss.org/)- (<a href="https://ieee-npss.org/)Co-sponsored" target="_blank" title="https://ieee-npss.org/)Co-sponsored">https://ieee-npss.org/)Co-sponsored by: IEEE Future Directions Committee, IEEE SusTech InitiativeSpeaker(s): Mr. Peter LangAgenda: The presentation will start at 9:00 AM Pacific Time (12:00 EDT, 16:00 UTC).09:00 Welcome and Speaker Introduction09:10 Presentation09:45 Questions and Answers10:00 Presentation endsNOTE If you have registered, you should receive the Zoom URL in a separate email, shortly before the presentation time. Please check your email spam <a href="http://folder.NOTE" target="_blank" title="folder.NOTE">folder.NOTE Please be sure to leave sufficient time to set up your web browser and / or remote meeting client prior to the start <a href="http://time.Virtual:" target="_blank" title="time.Virtual:">time.Virtual: https://events.vtools.ieee.org/m/483802

Abstract: Environmental perception is fundamental to safe and efficient autonomous driving. With Cooperative Perception (CP) enabled by V2X networks, connected vehicles can exchange perceptual information to see through blind zones and deal with long-tail scenarios. In this talk, we propose a robust, reliable, and resilient CP framework for connected autonomous driving under V2X Communication Limitations. First, for robustness to localization error and communication delay, a calibration-free two-stage CP paradigm is proposed using deep metric learning. This fusion method only requires image data and is adaptive to the transmission rate. Then, to guarantee high reliability, hard AoI constraints are considered in sensor scheduling of CP to guarantee the timeliness of perceptual information. The required channel resources are minimized in asynchronous status update settings. Next, to resiliently adapt to the dynamic traffic environment, we propose a learning-while-scheduling approach to trade off exploration and exploitation. An online sensor scheduling algorithm is designed based on restless MAB (Multi-Armed Bandit) theory to maximize the average CP gain with low scheduling overhead. Finally, a large-scale multi-view multi-modality dataset, called Dolphins, is presented to assist further researches and verification of CP <a href="http://systems.Room:" target="_blank" title="systems.Room:">systems.Room: 660, Bldg: ECS , University of Victoria, Victoria, British Columbia, Canada, V8P5C2