To support your role in inspiring students to pursue careers in STEM-related fields, we are pleased to offer the following program which provides a complete STEM curriculum for grade 11-12 students. This program will provide access to STEM content and the technical expertise of our IEEE members to help you integrate this content into your teaching practice. The program will be delivered from January to June 2025. [] The program begins with a guided 16-week presentation of a (https://www.cool-mcu.com/bundles/rpi-pico-robotics-and-iot-curriculum-for-pre-university-educators), followed by regularly scheduled office hours as you apply the concepts into your teaching practice. Please review the following video which describes the program: https://youtu.be/LBHYEj2qobs This training is targeted towards Grade 11/12 Computer or Electronics Engineering Teachers, and will be delivered virtually using a Learning Management System, combined with weekly live Q/A sessions to verify mastery of the material. When registering, please complete all address fields, so we can ship you a robot kit and track in time for the kick-off session! Agenda: Kick-Off Meeting Agenda: Outcomes Courses & Topic Coverage IoT Robot Hardware Review Using the LMS Detailed Training Schedule Assigned reading and lab exercise Virtual: https://events.vtools.ieee.org/m/436135

[] In this presentation, we will first explore the vision for 6G networks as envisioned by standardization bodies and industry leaders. We will then delve into two key aspects of 6G: AI integration and immersive communication. To illustrate our research in these areas, we will present two case studies: (1) edge intelligence-empowered integrated sensing and communication, and (2) user-centric mobile augmented reality. Speaker(s): Professor Jie Gao, Agenda: 12:00pm - 12:30pm: Talk by Professor Jie Gao 12:30pm - 12:45pm: Networking and Lunch 12:45pm - 1:00pm: Remainder of Talk with Q/A Room: RBCx Finance Quarter, Bldg: Hub350, 350 Legget Dr, Ottawa, Ontario, Canada, K2K 3N1

The IEEE Montreal Circuits and Systems Chapter invites you to attend a seminar on Neuromorphic Computing given by Abhronil Sengupta, School of Electrical Engineering and Computer Science, Penn State University. Please fill out the registration form below to receive the event link: https://elegua.aidaform.com/resmiq-s-minaire-19-mai-2025 Co-sponsored by: Prof. M. Omair Ahmad Speaker(s): Abhronil Sengupta, Room: salle B-1502, Bldg: pavillon B, École de technologie supérieure, Montreal, Quebec, Canada

Abstract : This talk provides an in-depth exploration into resource management within 6G wireless networks, focusing on the vision, key performance indicators (KPIs), key enabling techniques (KETs), and the diverse array of services characteristic of these advanced networks. The distinct challenges inherent in 6G's resource management call for a pivotal shift towards artificial intelligence (AI) and machine learning (ML)-driven solutions, necessitating a departure from traditional optimization-centric approaches. This talk will shed light on generative AI and unsupervised ML strategies tailored to effectively address convex and non-convex resource management optimization problems. A key focus will be on deep unsupervised learning techniques for network resource allocation, addressing non-linear and non-convex constraints. Deep implicit layers and differentiable projection methods will be explored as mechanisms to ensure zero constraint violations in applications such as beamforming, phase-shift optimization, and power allocation. Furthermore, the potential of generative AI models, including large language models (LLMs), to enable proactive network resource allocation will be examined, highlighting their role in optimizing performance and reducing reliance on traditional heuristics. The session will conclude by identifying key research gaps and future directions, paving the way for next-generation AI-driven wireless networks. Co-sponsored by: Reza Soleymani Speaker(s): , Dr. Tabassum Room: EV003-309, Bldg: Electrical & Computer Engineering Department, 1515 Ste. Catherine West (corner with Guy St.), Concordia University, Montreal, Quebec, Canada, H3G 1M8

This talk provides an in-depth exploration into resource management within 6G wireless networks, focusing on the vision, key performance indicators (KPIs), key enabling techniques (KETs), and the diverse array of services characteristic of these advanced networks. The distinct challenges inherent in 6G's resource management call for a pivotal shift towards artificial intelligence (AI) and machine learning (ML)-driven solutions, necessitating a departure from traditional optimization-centric approaches. This talk will shed light on generative AI and unsupervised ML strategies tailored to effectively address convex and non-convex resource management optimization problems. A key focus will be on deep unsupervised learning techniques for network resource allocation, addressing non-linear and non-convex constraints. Deep implicit layers and differentiable projection methods will be explored as mechanisms to ensure zero constraint violations in applications such as beamforming, phase-shift optimization, and power allocation. Furthermore, the potential of generative AI models, including large language models (LLMs), to enable proactive network resource allocation will be examined, highlighting their role in optimizing performance and reducing reliance on traditional heuristics. The session will conclude by identifying key research gaps and future directions, paving the way for next-generation AI-driven wireless networks. Speaker(s): Dr. Hina Tabassum, Room: EV003-309, Bldg: Electrical & Computer Engineering Department EV, Concordia University, 1515 Ste. Catherine West (corner with Guy St.), MONTREAL, Quebec, Canada, H3G 1M8

This talk begins with a brief overview of quantum computing, including essential concepts and historical milestones. Then current research is discussed. This includes work in quantum key distribution, quantum proof cryptography, and quantum information. The current status of developments in quantum computing are covered. This means this talk is updated every time it is given. Co-sponsored by: IEEE Montreal Section Speaker(s): Dr. Chuck Easttom Agenda: 20:00 Hours - START of Distinguished Lecture 21:00 Hours - END of Distinguished Lecture 21:00 Hours - Start of Q&A, Discussions, Thoughts, etc ALL times are in EDT/EST format --------------------------------------------------------------- An IEEE Montreal CS/CIS Chapter event. All are welcome. Consider becoming an IEEE member if such similar events are of professional/academic interest to you. Also if you have a topic or person in mind - which should be shared - do let the organizers know. Virtual: https://events.vtools.ieee.org/m/484422

Tour by Matt Tradewell, an Associate Director of ONC. This will include the Engineering spaces at the Marine Technology Centre. Matt will show us the equipment that will be deployed in the ocean in June. Tour will start at 3pm, so please arrive 5 minutes early. After turning into the MTC driveway, take the second left (slight downhill) which takes you behind the building. Park in the back parking lot (along the building and fence). Tom will be standing by the fence-gate to the right of the parking to help lead people in. Co-sponsored by: Tom Dakin Bldg: Marine Technology Centre, 9865 W Saanich Rd, North Saanich, British Columbia, Canada

This networking event will be a unique chance for Optica, SPIE, and IEEE Photonics Society student members from across Canada and beyond to connect, share ideas, and build professional relationships in a relaxed and welcoming environment. The event will feature an icebreaker quantum-themed quiz, with teams of four or five students of different chapters to encourage interaction, with complimentary food and a free drink for each attendee. A prize will be given to the best team. Following the quiz, we will host an informal networking session to encourage further connections among participants. Note: Participation is free for the student members of IEEE Photonics Society, Optica, or SPIE. Non-member students are required to pay 15.00 CAD. This fee is NOT required at the time of registration and can be paid in person by e-transfer or cash at the event. Co-sponsored by: OPTICA-SPIE Student Chapter at INRS Level One Game Pub, 14 Waller St, Ottawa, Ontario, Canada, K1N 9C4

The number of power electronics converters connected to electrical networks has been growing exponentially as they are part of all new generation connected to the grid. While the rapid control and fast electronic switching available with this technology offer flexibility in network operation, the dynamic interactions between several of them threaten the operational stability of the transmission grid is a concern. It is required to develop a methodology for identifying the risks associated with the stability and control interaction before a new power electronic device (e.g. Windfarm, interconnector, STATCOM) is introduced to the network The talk will focus on an analytical framework in impedance domain to quantify the interaction between the new plant and the rest of the network for setting additional grid connection study specifications which will include detail technical study to check and mitigate the risks associated with new power electronics interfaced generation. The framework developed is to support MMC technology, control delay, system strength and FRT capability of dynamic voltage support devices and windfarm through technical case study conducted at the research group of Bikash Pal at Imperial College London. Future research challenges and opportunities will be highlighted. Speaker(s): Bikash, Agenda: - Introduction on PES DL Program - Presentation by Dr. Bikash Pal, DL speaker Virtual: https://events.vtools.ieee.org/m/481478

At the Applied Perception Lab at Concordia University, user-centered design principles are at the core of developing innovative technologies that enhance healthcare and surgical practices. By focusing on visualization techniques, display devices, and interaction paradigms, our work aims to improve user experiences in clinical workflows and surgical environments. The first part of the talk will provide an overview of our latest projects that connect technology with healthcare outcomes, including an mHealth app supporting breast cancer patients, a game for teaching safer surgery, and a VR environment designed to reduce MRI-related anxiety. These projects all focus on how technology can address specific user needs to improve healthcare experiences and outcomes. The second part will dive deeper on a specific project: the design and development of accessible and precise neurosurgical guidance tools. During neurosurgery, surgeons must map preoperative patient images onto the patient positioned on the operating room table. This mapping is essential for understanding the topology and location of anatomical structures that are not visible in the exposed surgical field. However, the process is complex, time-consuming, and prone to error. By integrating augmented reality, auditory guidance, and interaction techniques, we can offer surgeons a more accurate and comprehensive understanding of patient-specific anatomical information. These methods have the potential to reduce surgical time and improve precision, ultimately enhancing patient outcomes. The talk aims to demonstrate how focusing on human factors and perception can transform healthcare and surgical technologies, ultimately benefiting both patients and providers. Co-sponsored by: Department of Electrical and Computer Engineering Speaker(s): Marta, Room: Fisher Conference Room (2201), Bldg: Robarts Research Institute, Robarts Research Institute, 100 Perth Drive, London, Ontario, Canada, n6g2v4