Events

This work period is aimed for participants or interested groups for the Ottawa Robotics Competition 2026. Teams and their supervisors will be able to ask the organizers questions about the competition details and try out test versions of many of the <a href="http://competitions.Work" target="_blank" title="competitions.Work">competitions.Work Period #1: April 25th Room T102 (First floor)Work Period #2: May 9th T207 (Second floor)Attendees under the age of 18 are expected to be accompanied by a parent or supervisor for the duration of the work period <a href="http://attendance.NOTE:" target="_blank" title="attendance.NOTE:">attendance.NOTE: This event is not held at the same location as the final competition, we would like to thank Algonquin College for allowing us to use their space for this event!Room: 102, Bldg: T, Algonquin college, 1385 Woodroffe avenue, Ottawa, Ontario, Canada, K2G 1V8

[]You've been using Claude like a search engine with manners. It's time to use it like an operating system. Agents. MCPs. Skills. Claude Code. This is where one-person companies start — and where entire industries <a href="http://shift.Most" target="_blank" title="shift.Most">shift.Most people discover Claude through the chat interface. They ask questions. They get answers. They think: "Nice. It's like a smarter Google." Then they close the tab and move <a href="http://on.They" target="_blank" title="on.They">on.They never find out that Claude can autonomously browse the web, write and execute code, manage files, connect to any app or database on the planet, coordinate multi-step workflows across tools, and operate for hours without a single human <a href="http://keystroke.They" target="_blank" title="keystroke.They">keystroke.They never find out about Claude Code — a CLI agent that can build entire products from a description. Or MCPs — a universal protocol that plugs Claude into Slack, GitHub, Notion, Figma, PostgreSQL, and thousands more. Or Skills — reusable, markdown-based "playbooks" that teach Claude any repeatable workflow you can <a href="http://describe."Claude" target="_blank" title="describe."Claude">describe."Claude Code is, with hindsight, poorly named. It's not purely a coding tool: it's a tool for general computer automation. Anything you can achieve by typing commands into a computer can now be <a href="http://automated."—" target="_blank" title="automated."—">automated."— Simon Willison, software engineer & researcherThis course gives you the full picture — from the concepts down to the commands. By the end, you will see Claude not as a chatbot, but as a platform for building the future of <a href="http://work.Speaker(s):" target="_blank" title="work.Speaker(s):">work.Speaker(s): Younes, Agenda: Module 01Claude Is Not a ChatbotReframe everything you know. Understand the architecture: Claude as a reasoning engine, an action-taker, and an autonomous agent — not a Q&A machine. The mental model that unlocks everything <a href="http://else.Virtual:" target="_blank" title="else.Virtual:">else.Virtual: https://events.vtools.ieee.org/m/553617

Multifunctional Filtering AntennasJawad Y. SiddiquiUniversity of Calcutta, Queen's University and Royal Military College of CanadaSummary:Modern RF systems often require multiple antennas to support various frequency bands. Reconfigurable antennas address this need by providing frequency agility, compact size, and reduced hardware complexity. The proposed antenna achieves this through electrical reconfiguration enabled by the embedded SRRs and PIN <a href="http://diodes.The" target="_blank" title="diodes.The">diodes.The techniques proposed in this work have been implemented on two types of UWB antennas, a printed monopole antenna and a printed antipodal tapered slot antenna (ATSA) to validate the concept on radiators with distinct radiation characteristics: omnidirectional and directional, respectively. In both cases, split ring resonators (SRRs), magnetically coupled to the CPW feed line, function as band-stop filters, introducing a frequency notch in the UWB response around their resonance. When a set of PIN diodes embedded in the feed line are forward biased (ON), the antenna transforms into a narrowband band-pass filter centered at the same resonance frequency, thereby realizing complementary frequency responses from a single antenna <a href="http://structure.A" target="_blank" title="structure.A">structure.A key feature of the design is that it preserves the original radiator geometry. The work demonstrates a compact, versatile, and effective approach to achieving multifunctionality in UWB antennas. The integration of reconfigurable filtering into the feedline enables real-time switching between wideband and narrowband operation, making the design especially suitable for cognitive radio, multi-standard wireless systems, and MIMO <a href="http://applications.Speaker(s):" target="_blank" title="applications.Speaker(s):">applications.Speaker(s): Dr. JawadRoom: EIT-3151, Bldg: EIT, 200 University Ave W, Waterloo, Ontario, Canada, N2L 3G1, Virtual: https://events.vtools.ieee.org/m/553628

IEEE Ottawa Section’s Life Members are invited to a tour of the David Florida Laboratory (DFL) spacecraft test facility at Shirleys Bay, <a href="http://Ottawa.DFL" target="_blank" title="Ottawa.DFL">Ottawa.DFL is Canada's world-class spacecraft assembly, integration and testing centre, located on Shirleys Bay Campus in Ottawa. Owned by the Canadian Space Agency (CSA) for over 50 years, the DFL has played a key role in advancing telecommunications and satellite remote sensing in Canada. Thanks to its expertise, the DFL also served as a trusted integration and testing centre for space hardware from several other <a href="http://countries.DFL" target="_blank" title="countries.DFL">countries.DFL has been a strategic national asset and integral part of Canada's national and industrial end-to-end space capability for decades, supporting the development of space technology and critical missions for both the government and private sector. The facility has played a pivotal role in establishing Canada’s world-leading national and industrial space capabilities including critical components of the James Webb Space Telescope, all Canadarm space robotics, the RADARSAT family of Earth observation satellites, and multiple generations of essential communications satellites that support every aspect of the daily lives of <a href="http://Canadians.The" target="_blank" title="Canadians.The">Canadians.The Laboratory is now operated by MDA Space, with testing services available to Canadian and international companies and <a href="http://organizations.Special" target="_blank" title="organizations.Special">organizations.Special Instructions:The entire Shirleys Bay campus, including DFL, is a secure facility. Therefore government issued photo identification is required to <a href="http://enter.Non-Canadian" target="_blank" title="enter.Non-Canadian">enter.Non-Canadian foreign nationals are welcome, but required to show a valid <a href="http://passport.Registration" target="_blank" title="passport.Registration">passport.Registration is capped at 30 <a href="http://people.Important" target="_blank" title="people.Important">people.Important registration deadlines:Canadian Citizen or Canadian Permanent Resident - April 21Foreign nationals - April 14Agenda: 1:00 pm - Arrive at DFL/Communications Research Centre Canada (CRC) Shirleys Bay CampusOttawa Life Members chair Wolfram Lunscher (343-254-8569) will be there to direct you- On entering the main campus road from Carling look for Visitor turnoff to the right- Choose visitor parking near the Campus Security Building, then enter that building- Explain to security officer present that you are with IEEE Life Members – Ottawa Section- Request access to DFL, Bldg 65 and present photo id to security officers. Receive campus access badge- Every visitor must swipe their campus access badge at vehicle Gate House to enter campus- Park at designated parking areas. P1 is closest to main DFL entrance, though P2 behind the building is available if P1 is <a href="http://full.Parking" target="_blank" title="full.Parking">full.Parking is free of <a href="http://charge.-" target="_blank" title="charge.-">charge.- Enter at DFL main entrance, South-West side of building, and check in with DFL reception1:30 pm - tour begins- This is a clean-air facility. You will be given appropriate laboratory-wear before entering2:30 (approximately) - tour endBldg:" target="_blank" title="image002.png]Bldg:">image002.png]Bldg: Bldg 65 - David Florida Laboratory, 3701 Carling Ave, Ottawa, Ontario, Canada, K2H 8S2

The IEEE Women in Engineering (WIE) Affinity Group – Hamilton Section meets on the last Thursday of each month. We are pleased to invite you to our monthly meeting on April 30, 2026. We warmly look forward to your participation and hope you can join <a href="http://us.Agenda:" target="_blank" title="us.Agenda:">us.Agenda: -Review and planning of ongoing and upcoming events-Discussion on WIE Day events and activities-Task delegation and assignment of responsibilitiesVirtual: https://events.vtools.ieee.org/m/551067

Abstract:This lecture summarizes “Survival Skills for Scientists”, a graduate course designed to offer basic advice and mentorship. The central theme of this presentation is that succeeding in science requires skills (‘soft professional skills’) beyond those needed for <a href="http://science.The" target="_blank" title="science.The">science.The lecture aims at giving basic guidance to young scientists, focusing on:- The job market for science and engineering graduates- Funding your research- Publish or perish- Presenting your work- The laws of ‘scientific survival’- Ethics in science- Alternative careersCo-sponsored by: ETS Optica Student ChapterSpeaker(s): Federico RoseiAgenda: 11:15 am - 11:30 am: Welcome & introduction11:30 am-12:30 pm: Tech Talk (on-site)12:30 pm-1:30 pm: Networking lunchRoom: A-1300, Bldg: Pavillon A, Ecole de Technologie Supérieure , 1100, rue Notre-Dame Ouest, Montreal, Quebec, Canada, H3C 1K3

Title: Generative AI and Deep Learning for Resource Allocation in 6G Wireless NetworksAbstract:This talk provides an in-depth exploration of resource management in 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 resource management call for a pivotal shift toward artificial intelligence (AI) and machine learning (ML)–driven solutions, requiring a departure from traditional optimization-centric <a href="http://approaches.The" target="_blank" title="approaches.The">approaches.The talk sheds light on generative AI and unsupervised ML strategies tailored to effectively address convex and non-convex resource management optimization problems. A key focus is placed on deep unsupervised learning techniques for network resource allocation under nonlinear and non-convex constraints. Deep implicit layers and differentiable projection methods are explored as mechanisms to ensure zero constraint violations in applications such as beamforming, phase-shift optimization, and power <a href="http://allocation.Furthermore" target="_blank" title="allocation.Furthermore">allocation.Furthermore, the potential of generative AI models, including large language models (LLMs), to enable proactive network resource allocation is examined, highlighting their role in optimizing performance and reducing reliance on traditional heuristics. The session concludes by identifying key research gaps and future directions, paving the way for next-generation AI-driven wireless <a href="http://networks.Co-sponsored" target="_blank" title="networks.Co-sponsored">networks.Co-sponsored by: Hong-chuan Yang***CANCELED***Room: 660, Bldg: Engineering/Computer Science Building (ECS), 3800 Finnerty Road, Victoria, British Columbia, Canada, V8P 5C2

Abstract: The next generation of wireless networks will no longer be confined to moving bits — they will sense, communicate, and learn simultaneously. This convergence is anticipated to enable distributed intelligence across devices, unlocking new capabilities for real-time perception and decision-making in dynamic environments. In this talk, two complementary advances in federated signal processing will be presented. First, an over-the-air federated edge learning (OTA-FEEL) framework with integrated radar sensing will be discussed. By leveraging echoes from the environment, rather than treating them solely as interference, robust model aggregation will be maintained while ensuring high-quality sensing and communication performance. A joint scheduling and beamforming design will be presented, supported by low-complexity optimization techniques, to preserve aggregation accuracy under realistic wireless conditions. Second, FedTrack, a novel federated learning–inspired algorithm for distributed target tracking, will be presented. By treating local log-likelihood functions as loss functions in a distributed optimization framework, FedTrack enables devices to collaboratively estimate a moving target’s position and velocity. This communication-efficient method closely approximates centralized maximum likelihood estimation, achieving accuracy near the Cramér–Rao bound while reducing reliance on a central coordinator. Together, these developments illustrate how federated intelligence over the air can transform 6G networks into systems that not only communicate but also sense and learn collaboratively. Implications for autonomous systems, smart cities, and beyond will be discussed, with emphasis on the central role of signal processing innovations in realizing this <a href="http://vision.Room:" target="_blank" title="vision.Room:">vision.Room: MCLD 3038, Bldg: Hector J. MacLeod Building - MCLD, 2356 Main Mall, Vancouver, BC V6T 1Z4, Vancouver, British Columbia, Canada, Virtual: https://events.vtools.ieee.org/m/552228

CREATE TRAVERSAL, SITE-CAV and Lunch&Learn series of IEEE Young Professionals Ottawa is taking it to the sky! Join us as Prof. Cicek Cavdar from KTH Sweden, a leading expert in the field, presents state-of-the art research and the upcoming challenges in satellite communications and 6G.Come for the learning and stay for the community! We will serve lunch, Turkish coffee and other treats following the <a href="http://presentation.6G" target="_blank" title="presentation.6G">presentation.6G for Connected Sky: From LEO Mega-Constellations to Airspace CommunicationsAbstract: Future 6G systems will extend across terrestrial, aerial, and non-terrestrial platforms to support seamless, resilient, and intelligent connectivity for users in the sky, on the ground, and in remote areas. In this talk, I will present our recent work toward this vision of 6G for Connected Sky, covering three main research directions: (i) design and resource allocation in LEO mega-constellations, including handover management, Open RAN architectures, interference, and hybrid terrestrial-satellite networking; (ii) satellite-assisted IoT and edge intelligence, where learning-based methods support data collection and task offloading in highly dynamic environments; and (iii)airspace communications, including UAV connectivity, reliability, sensing, and spectrum/regulatory challenges in integrated 3D networks. Together, these works highlight how future connectivity must be designed jointly across communication architecture, mobility, compute, and intelligence to enable reliable and scalable 6G services for the connected <a href="http://sky.Bio:" target="_blank" title="sky.Bio:">sky.Bio: Cicek Cavdar is a Full Professor at KTH Royal Institute of Technology, Sweden, where she serves as Vice Head of the Department of Communication Systems and Founding Director of SMART-6GSAT, Sweden’s first national 6G satellite communications center. She leads the Intelligent Network Systems research group and works on AI-native and cloud-native network design and orchestration, with a focus on cell-free massive MIMO, integrated sensing and communications, drone communications, and the convergence of terrestrial and non-terrestrial networks. Her research addresses the trade-off between resiliency and energy efficiency through an end-to-end perspective spanning cloud, transport, and radio access networks. She has led major EU academia–industry initiatives, including 6G-SKY and RAI-6Green, and previously coordinated AI4Green, which received the 2024 EUREKA Innovation Award and Celtic Excellence Award. Her team received the Scientific Excellence Best Paper Award at ASMS/SPSC 2025 for work on disaggregated RAN in space and handover management in LEO mega-constellations. Professor Cavdar has authored more than 160 publications, holds several patents, and serves on the editorial boards of IEEE Transactions on Wireless Communications and IEEE Transactions on Green Communications and Networking. She is also an active organizer, editor, and keynote speaker in the areas of 6G, AI-native networks, green communications, and non-terrestrial <a href="http://networks.Co-sponsored" target="_blank" title="networks.Co-sponsored">networks.Co-sponsored by: Smart Connected Vehicles Innovation Centre (SCVIC) and the Next Generation Communications and Computing Networks Lab (NEXTCON)Speaker(s): Cicek, Agenda: - Introductions- Talk by Prof. Cicek Cavdar- Lunch and networkingBldg: Hub 350, 350 Legget Dr, Smart Connected Vehicles Innovation Centre, Ottawa, Ontario, Canada, K2K 3N1

Title: Generative AI and Deep Learning for Resource Allocation in 6G Wireless NetworksAbstract:This talk provides an in-depth exploration of resource management in 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 resource management call for a pivotal shift toward artificial intelligence (AI) and machine learning (ML)–driven solutions, requiring a departure from traditional optimization-centric <a href="http://approaches.The" target="_blank" title="approaches.The">approaches.The talk sheds light on generative AI and unsupervised ML strategies tailored to effectively address convex and non-convex resource management optimization problems. A key focus is placed on deep unsupervised learning techniques for network resource allocation under nonlinear and non-convex constraints. Deep implicit layers and differentiable projection methods are explored as mechanisms to ensure zero constraint violations in applications such as beamforming, phase-shift optimization, and power <a href="http://allocation.Furthermore" target="_blank" title="allocation.Furthermore">allocation.Furthermore, the potential of generative AI models, including large language models (LLMs), to enable proactive network resource allocation is examined, highlighting their role in optimizing performance and reducing reliance on traditional heuristics. The session concludes by identifying key research gaps and future directions, paving the way for next-generation AI-driven wireless <a href="http://networks.Co-sponsored" target="_blank" title="networks.Co-sponsored">networks.Co-sponsored by: Hong-chuan YangRoom: 660, Bldg: Engineering/Computer Science Building (ECS), 3800 Finnerty Road, Victoria, British Columbia, Canada, V8P 5C2

IEEE North Saskatchewan Section Meeting - May, 202657 Campus Dr, Saskatoon, Saskatchewan, Canada, S7N 5A9, Virtual: https://events.vtools.ieee.org/m/544435

Future of communication and sensing network is being transformed with the advancement in next generations of wireless with Beyond-5G, beyond-WiFi-8, ICAS, NTN, VR/XR/Metaverse, Digital-Twin and other emerging applications. Higher quality of experiences for connected future with ubiquitous lowest latency and superhigh data rate connectivity services will require innovative wireless technologies and communication hardware combined with AI/ML. Mobile platform integrated RF systems with antenna front ends are common factor for most of the wireless applications. Emerging usage scenarios will need intelligent mobile platforms with ultra-small form-factor, requiring co-design and heterogeneous integration of dis-similar semiconductor device, circuit and antenna technologies, in order to satisfy the desired application-specific performance criteria for the evolving use <a href="http://cases.This" target="_blank" title="cases.This">cases.This presentation will present the emerging technology trends and will focus on the antenna-integrated RF to mm-wave/THz array integrated frontend opportunities and challenges demanding new technology, design, development and integration. Example architectures to enablemultifunction microsystem platform will be <a href="http://discussed.Speaker(s):" target="_blank" title="discussed.Speaker(s):">discussed.Speaker(s): Dr. Debabani Choudhury, Agenda: - 6:30 - 7:00 PM Networking- 7:00 - 8:00 PM Technical TalkBldg: Cal Lutheran Center for Entrepreneurship (Hub101), 31416 Agoura Rd, Westlake Village, California, United States, 91361, Virtual: https://events.vtools.ieee.org/m/494694