A semesterly recurring series of 15 tutoring sessions designed to support students in their exam preparations. These sessions will be held in the IEEE office throughout December, leading up to final exams. The event provides a comfortable and supportive environment for students to review course material with the help of knowledgeable tutors. This event usually brings in a total of 250-300 students, and grows in popularity every year. 800 King Edward Avenue, Ottawa, Ontario, Canada

L’Académie Internationale de Recherche, Publication et Développement Technologique (AIRPD) et IEEE Education Society, chapitre de Montréal vous invite à une conférence en ligne qui portera sur l’art de rédiger un article scientifique: De la pensée à la publication. Inscription (facultative) suivant ce lien: https://frontend-system-management.vercel.app/public/events/100 Lien pour participer à la conférence: Lien pour suivre la conférence: https://uqam.zoom.us/j/5133475802 Co-sponsored by: Académie Internationale de Recherche, Publication et Développement Technologique (AIRPD) Speaker(s): Bruel, Pierre Marie Virtual: https://events.vtools.ieee.org/m/519991

Join us for a virtual event organized by the IEEE Computer Society Chapter! Title: MetaSwarmX: Decentralized Swarms of Swarms of Heterogeneous Agents Summary: As robotics technology continues to innovate large collections of robotic agents have become more sophisticated and accessible leading to their use in both civilian and military applications. Many of these applications treat the collection as a multi-robot system that is controlled in a centralized fashion, which can be useful and have many applications but this isn't swarm robotics. The MetaSwarmX project aims to develop algorithms that can be used for swarms of swarms (a MetaSwarm) of heterogeneous robots solving problems without human intervention in a decentralized and scalable fashion. These algorithms will be built with civilian applications in mind as a means to develop novel applications with this emergent technology. The subject of swarm intelligence, the emergent technology, the potential of the robots, and the goals and status of the MetaSwarmX project will be discussed. --------------------------------------------------------------- Bibliography: Dr. Michael Dubé studied novel representations for evolutionary algorithms with applications to epidemic modelling and biological sequence discovery completing his PhD in Bioinformatics and MSc in Computer Science in Canada. Now, he studies decentralized swarm intelligence with swarms of robots while completing his post-doc at Otto von Guericke University in Magdeburg, Germany. He aims to be a teaching-focused professor in Computer Science, where he will bring the energy and passion to everything he does; which may mean starting class with a cheer about being excited to learn! Speaker(s): Michael Dubé Virtual: https://events.vtools.ieee.org/m/517697

The use of autonomous underwater vehicles (AUVs) in the underwater space is greatly limited by their communication capabilities. This presentation discusses simulations which incorporate communication timing, success and failure with vehicles dynamics -- specifically torpedo shaped AUVs. With the goal of range-only target tracking of a surface ship, several collaborative AUV behaviours were examined. Where: Dalhousie University, Emera IDEA Hub, Rm 1004 (Romero Classroom) Speaker(s): Erin Room: 1004 (Romero Classroom), Bldg: Emera Idea Hub, 1345 Norma Eddy Ln, Halifax, Nova Scotia, Canada, B3J 0H6

Monthly ExCom meeting - Online. Agenda: 6:00 PM - ExCom Meeting Virtual: https://events.vtools.ieee.org/m/508527

Feko offers state-of-the-art optimization engines to automatically optimize the antenna design and determine the optimum solution. This talk demonstrates the complete workflow to setup optimization in Feko along with the option of specifying a goal directly or using an optimization mask. A workflow to setup a parametric sweep and plotting different outputs against the parametric variables will also be presented. Speaker(s): Gopinath Gampala, Dr. C.J. Reddy Virtual: https://events.vtools.ieee.org/m/519226

Abstract: Through this talk we dive into a Digital Twin (DT) framework that leverages reduced-order models enhanced with data-driven (aka hybrid fidelity DT) techniques for real-time monitoring and control of cyber-physical devices in modern power grids. It discusses how we can create high-fidelity DTs as cyber-physical replicas by merging dynamic modeling with data-driven estimation, ultimately boosting situational awareness and grid stability. The talk also covers the pros and cons of traditional model-driven, data-driven DT, and hybrid fidelity DT approaches. We will take a look at the software stack and integration pipeline necessary for deploying hybrid fidelity DTs in cloud or fog environments. Key challenges in developing DTs that incorporate reduced-order models and observer-based control schemes to capture system interactions and enhance accuracy will be discussed. Additionally, we will explore data synchronization issues for Digital Twins-in-the-Loop (DTiL), along with real-time data imputation and decentralized control methods, demonstrating how we can tackle measurement gaps and network disturbances. Finally, we will showcase results from DT implementations for heat pumps, EV chargers, and solar inverters, highlighting the emerging role of DTiL in reinforcement learning, federated learning, and spatio-temporal frameworks in the future of electrical grids. Co-sponsored by: School of Electrical Engineering and Computer Science, University of Ottawa Speaker(s): Javad Fattahi Room: STE-5084, Bldg: SITE - the southernmost building of the University of Ottawa Main Campus, School of Electrical Engineering and Computer Science, 800 King Edward Ave, Ottawa, Ontario, Canada, K1N 6N5, Virtual: https://events.vtools.ieee.org/m/519986

Abstract: Through this talk we dive into a Digital Twin (DT) framework that leverages reduced-order models enhanced with data-driven (aka hybrid fidelity DT) techniques for real-time monitoring and control of cyber-physical devices in modern power grids. It discusses how we can create high-fidelity DTs as cyber-physical replicas by merging dynamic modeling with data-driven estimation, ultimately boosting situational awareness and grid stability. The talk also covers the pros and cons of traditional model-driven, data-driven DT, and hybrid fidelity DT approaches. We will take a look at the software stack and integration pipeline necessary for deploying hybrid fidelity DTs in cloud or fog environments. Key challenges in developing DTs that incorporate reduced-order models and observer-based control schemes to capture system interactions and enhance accuracy will be discussed. Additionally, we will explore data synchronization issues for Digital Twins-in-the-Loop (DTiL), along with real-time data imputation and decentralized control methods, demonstrating how we can tackle measurement gaps and network disturbances. Finally, we will showcase results from DT implementations for heat pumps, EV chargers, and solar inverters, highlighting the emerging role of DTiL in reinforcement learning, federated learning, and spatio-temporal frameworks in the future of electrical grids. Co-sponsored by: School of Electrical Engineering and Computer Science, University of Ottawa Speaker(s): Javad Fattahi Room: STE-5084, Bldg: SITE - the southernmost building of the University of Ottawa Main Campus, School of Electrical Engineering and Computer Science, 800 King Edward Ave, Ottawa, Ontario, Canada, K1N 6N5, Virtual: https://events.vtools.ieee.org/m/519732

[] Zoom Link: https://ulaval.zoom.us/j/69550214937?pwd=iH5u8TmnfzeZUxEc4LMpU1IupTAwvh.1 Time: 12 December 2025, 11.00 AM EST to 12.00 PM EST Talk Abstract: The reliable operation of smart grids increasingly relies on wireless communication links deployed within high-voltage substations and distribution infrastructures. However, these environments are dominated by severe electromagnetic interference (EMI), producing bursty, high-amplitude impulsive noise with strong temporal correlation. Conventional transceiver design based on simple clipping/blanking, or memoryless soft decoding fails to ensure reliable connectivity under realistic EMI, resulting in critical degradation of QoS. This talk presents promising EMI-aware transceiver architectures that bridge theoretical modeling and practical resilience. We first revisit EMI characterization in smart grids, highlighting the impulsive, bursty, and dynamic nature of EMI. We then explore transceiver design strategies ranging from enhanced LLR-based detection to AI-driven architectures. Finally, we present fully AI-native deep semantic transceivers that jointly optimize encoding, decoding, and noise mitigation, demonstrating robust communication in presence of strong EMI. Speaker Biography: Georges Kaddoum is a professor and the research director of the Resilient Machine Learning Institute (ReMI) at École de Technologie Supérieure (ÉTS), Université du Québec, Montréal, Canada. He also holds an industrial research chair and a Tier 2 Canada Research Chair. He earned his Ph.D. in Signal Processing and Telecommunications with High Honors from the National Institute of Applied Sciences (INSA), University of Toulouse, France, in 2009. His research focuses on wireless communication networks, tactical communications, resource allocation, and network security. Prof. Kaddoum is a member of the Royal Society of Canada and has received multiple prestigious recognitions. He has served as an associate editor for IEEE Transactions on Information Forensics and Security and IEEE Communications Letters. Currently, he is an area editor for IEEE Transactions on Machine Learning in Communications and Networking and an editor for IEEE Transactions on Communications. Meeting Link: https://ulaval.zoom.us/j/69550214937?pwd=iH5u8TmnfzeZUxEc4LMpU1IupTAwvh.1, Quebec City, Quebec, Canada

The global shift toward sustainable electrification—driven by electric mobility and renewable energy integration—is increasing the demand for high-performance battery systems that deliver efficiency, long life, safety, and sustainability. A key enabler of this progress is the Battery Management System (BMS). In particular, advanced cell and pack balancing has become essential for maintaining performance and safety in the presence of natural cell-to-cell variations in lithium-ion and emerging battery chemistries. In this webinar, Dr. Oshnoei will present state-of-the-art balancing methods, including distributed and modular BMS architectures that enhance scalability, as well as advanced BMS platforms designed to manage cell health under diverse operating conditions. Attendees will learn how intelligent balancing can reduce degradation and thermal stress, improve charge/discharge uniformity, increase usable capacity, enable faster charging, and extend battery service life. Overall, the session will highlight how advanced balancing and data-driven intelligence are expanding BMS capabilities and supporting a more reliable, efficient, and sustainable electrified future. Speaker(s): Dr. Oshnoei Virtual: https://events.vtools.ieee.org/m/518178