• Celebrating WIE Day 2026: Technology with Purpose

    Virtual: https://events.vtools.ieee.org/m/562892

    Celebrating WIE Day 2026: Technology with PurposeCo-sponsored by: Multi-Cultural Association FrederictonVirtual: https://events.vtools.ieee.org/m/562892

  • Railway Engineering: Design, Simulation and VR Visualization

    Virtual: https://events.vtools.ieee.org/m/560481

    A paid course running over two days for 6 professional development hours (PDH) (0.6 CEU).The workshop covers railway engineering, track design, VR visualization, signaling, operations, and capacity analysis over two <a href="http://days.Day" target="_blank" title="days.Day">days.Day 1 - Track DesignDay 2 - VR Visualization, Signaling & OperationsEach session blends theoretical background with practical, software-based exercises to provide a comprehensive understanding of modern railway <a href="http://engineering.Course" target="_blank" title="engineering.Course">engineering.Course Learning OutcomesBy the end of this course, students will be able to:1. Develop a real-world railway corridor in OpenRail including essential track infrastructure elements such as alignments, turnouts, and <a href="http://crossovers.2" target="_blank" title="crossovers.2">crossovers.2. Create 3D railway environments and VR/360-degree presentations using <a href="http://Unity.3" target="_blank" title="Unity.3">Unity.3. Build a rail simulation model in SUMO including train scheduling and <a href="http://signaling.4" target="_blank" title="signaling.4">signaling.4, Integrate railway design, visualization, and simulation workflows into a practical digital project (demo video + template website).Course fee must be paid to register. Fee is <a href="http://non-refundable.A" target="_blank" title="non-refundable.A">non-refundable.A couple of free registrations are available to WIE members and people new to the job market using request form(https://forms.gle/8XrDsifkSTiURo9V8) <a href="https://forms.gle/8XrDsifkSTiURo9V8Speaker(s):" target="_blank" title="https://forms.gle/8XrDsifkSTiURo9V8Speaker(s):">https://forms.gle/8XrDsifkSTiURo9V8Speaker(s): Dr. Ahmad MohammadiAgenda: This workshop provides a hands-on, project-based introduction to railway engineering & simulation including three phases of a railway system:1. Track Design (Bentley OpenRailConceptStation): Create a real-world rail network on top of aerial imagery and elevation GIS maps including track geometry (horizontal, vertical, superelevation) and track layout (turnout, yard, bridge, and crossover).2. 3D Visualization & Virtual Reality (Unity Game Engine): Developing 3D environments including train stations, surrounding buildings, trees and develop VR 360 degree <a href="http://video.3" target="_blank" title="video.3">video.3. Train Operations, Scheduling and Signaling (SUMO Traffic Simulation): Create a simulated rail network & rail signal in traffic simulation and conduct scheduling, operations and capacity analysis including number of trains, av dwell time in stations (fixed block)(Detailed agenda in attached <a href="http://file.)Virtual:" target="_blank" title="file.)Virtual:">file.)Virtual: https://events.vtools.ieee.org/m/560481

  • AI for Everyday Life: An Interactive Workshop for Work, Learning & Daily Life

    Room: Program Room, 5151 New St, Burlington, Ontario, Canada, L7L 5Y1

    IEEE WIE Day - 2026As part of the celebration of IEEE WIE Day 2026, IEEE Women in Engineering (WIE) – Hamilton Section invites you to join "AI for Everyday Life: An Interactive Workshop for Work, Learning & Daily Life" an engaging and practical workshop inspired by this year's IEEE WIE Day theme, "Technology with Purpose: Innovate Responsibly, Inspire Globally, Lead with <a href="http://Integrity."Artificial" target="_blank" title="Integrity."Artificial">Integrity."Artificial Intelligence is transforming the way we learn, work, communicate, and create. This interactive session is designed to help participants understand and confidently use AI tools in ways that are practical, responsible, and meaningful in everyday <a href="http://life.Through" target="_blank" title="life.Through">life.Through live demonstrations and real-world examples, participants will explore:• Understanding AI and its impact on everyday life• Using AI to save time and boost productivity• Applying AI for academics and career development• Using AI for communication and creativity• Writing effective prompts to get better AI results• Using AI responsibly and safelyWhether you are a student, professional, educator, retiree, or simply curious about AI, this workshop will provide practical skills and insights that you can immediately apply in your personal, academic, professional, and community <a href="http://activities.Attendees" target="_blank" title="activities.Attendees">activities.Attendees will also have opportunities to ask questions, share experiences, and discover how AI can be used not only as a powerful technology, but as a tool to support innovation, lifelong learning, and positive <a href="http://impact.We" target="_blank" title="impact.We">impact.We look forward to welcoming you to this informative and inspiring IEEE WIE Day 2026 <a href="http://event.Speaker(s):" target="_blank" title="event.Speaker(s):">event.Speaker(s): Arun ArokianathanAgenda: Time Activity2:00 PM – 2:05 PM - Welcome & Introduction2:05 PM – 3:35 PM - Interactive Workshop: AI for Everyday Life3:35 PM – 3:45 PM - Q&A3:45 PM – 4:00 PM - Refreshments & NetworkingRoom: Program Room, 5151 New St, Burlington, Ontario, Canada, L7L 5Y1

  • System Assurance in The Era of Large Language Models (LLMs)

    Virtual: https://events.vtools.ieee.org/m/560709

    []Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a technical talk presented by Dr. Alvine B. Belle from York <a href="http://University.Monday" target="_blank" title="University.Monday">University.Monday, June 29, 2026 @ 2:00 – 3:00 PM (EST)Abstract:Justifying the correct implementation of the non-functional requirements (e.g., safety, security, reliability) of mission-critical systems is crucial to prevent system failure. The latter could have severe consequences such as the death of people, financial losses, and environmental damage. Assurance cases (e.g., safety cases, security cases) can be used to prevent system failure. They therefore support system assurance. Assurance cases are structured sets of arguments supported by evidence and aiming at demonstrating that a system's non-functional requirements have been correctly implemented. However, although the availability of complete assurance cases is crucial to allow the research community to contribute to the system assurance field, it remains very challenging to access complete assurance cases due to several concerns such as confidentiality issues. Furthermore, assurance cases are usually very large documents. Still, their creation remains a manual, labor-intensive, and error-prone process that heavily relies on domain expertise. Therefore, relying on (semi-)automated techniques such as those supported by generative AI through LLMs (Large Language Models) could alleviate the task of assurance case developers by facilitating the execution of all activities related to the assurance case <a href="http://lifecycle.In" target="_blank" title="lifecycle.In">lifecycle.In this talk, Dr. Belle will present the current solutions on LLM-based system assurance to inform future research on this topic. She will illustrate these solutions with various case studies spanning several application domains (e.g., healthcare, automotive, and nuclear).Speaker(s): Alvine B. Belle, PhD, Virtual: https://events.vtools.ieee.org/m/560709

  • Celebrations of WIE Day 2026 and A guided visit to BCIT’s Digital Twin Innovation Hub (DTI-Hub)

    Room: Lobby, Bldg: BCIT Centre for Applied Research and Innovation (CARI), 4355 Mathissi Place, burnaby, British Columbia, Canada, V5G 3H2

    Theme: Technology with Purpose: Innovate Responsibly, Inspire Globally, Lead with IntegrityEvent HighlightsParticipants will enjoy:- An inspiring presentation on Applied Research, Innovation, and <a href="http://Leadership.-" target="_blank" title="Leadership.-">Leadership.- A guided visit to BCIT’s Digital Twin Innovation Hub (DTI-Hub) .The Digital Twin Innovation Hub (DTI-Hub) provides researchers, educators, and utilities with opportunities to conduct research and participate in hands-on educational programs in critical energy infrastructure areas, including:- Smart microgrids- Digital substations- Power systems- Critical infrastructure cybersecurityDigital Twin Innovation Hub (DTI-Hub) features a utility-grade, flexible, and cybersecure platform designed to support applied research and experiential learning in modern industrial and energy systemsAgenda: Theme: Technology with Purpose: Innovate Responsibly, Inspire Globally, Lead with IntegrityEvent HighlightsParticipants will enjoy:- An inspiring presentation on the Applied Research, Innovation, and <a href="http://Leadership.-" target="_blank" title="Leadership.-">Leadership.- A guided visit to BCIT’s Digital Twin Innovation Hub (DTI-Hub).Room: Lobby, Bldg: BCIT Centre for Applied Research and Innovation (CARI), 4355 Mathissi Place, burnaby, British Columbia, Canada, V5G 3H2

  • Workshop on AI in Healthcare: What It Does and How to Evaluate It Responsibly

    Room: 516, Bldg: ICT, 2500 University Drive NW, Calgary, Alberta, Canada, T2N 1N4

    Join us for an engaging IEEE WIE Day event featuring a hands-on workshop and an inspiring speaker <a href="http://session.Workshop:" target="_blank" title="session.Workshop:">session.Workshop: AI in Healthcare – What It Does and How to Evaluate It ResponsiblyDr. Raissa Souza, Postdoctoral Fellow at the University of Calgary, will lead an interactive workshop exploring the role of artificial intelligence in healthcare. Participants will learn about current applications of AI in healthcare, its potential benefits and limitations, and key considerations for evaluating AI systems <a href="http://responsibly.Please" target="_blank" title="responsibly.Please">responsibly.Please bring your laptop, as the workshop will include interactive activities and hands-on <a href="http://exercises.Speaker" target="_blank" title="exercises.Speaker">exercises.Speaker Session: Personal and Professional Journeys in Engineering and ResearchWe are pleased to welcome Dr. Mariana Bento and Dr. Sara Saeedi, Assistant Professors at the University of Calgary, who will share their personal and professional journeys in academia and engineering. They will discuss the challenges they have encountered throughout their careers, the lessons they have learned, and the experiences that have inspired and shaped their paths. This session will provide valuable insights and encouragement for students and early-career professionals interested in research, innovation, and <a href="http://leadership.Food" target="_blank" title="leadership.Food">leadership.Food and drinks will be <a href="http://served.We" target="_blank" title="served.We">served.We look forward to an afternoon of learning, discussion, and <a href="http://inspiration.Speaker(s):" target="_blank" title="inspiration.Speaker(s):">inspiration.Speaker(s): Dr. Mariana Bento, Dr. Raissa Souza, Dr. Sara SaeediAgenda: 3:00 - 3:10 pm Beginning of the event and introduction3:10 - 3:55 pm Dr. Sara Saeedi presentation3:55 - 4:05 pm Break and networking4:05 - 4:50 pm Dr. Mariana Bento presentation4:50 - 5:00 pm Break and networking5:00 - 6:00 pm Dr. Raissa Souza workshopRoom: 516, Bldg: ICT, 2500 University Drive NW, Calgary, Alberta, Canada, T2N 1N4

  • IEEE WIE Panel Discussion : From Blueprints to Startups – Engineers as Emerging Founders in the Startup Ecosystem

    Room: EN 3075, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada

    From Blueprints to Startups: Engineers as Emerging Founders in the Startup EcosystemAs part of the IEEE WIE Day 2026 celebrations, IEEE Women in Engineering (WIE) Newfoundland and Labrador, together with the Memorial Centre for Entrepreneurship (MCE), invites you to an engaging panel discussion on innovation, entrepreneurship, and leadership in <a href="http://STEM.Hear" target="_blank" title="STEM.Hear">STEM.Hear from entrepreneurs, startup leaders, innovation mentors, and academic experts as they share their experiences in transforming ideas into impactful ventures. The discussion will explore innovation, entrepreneurship, mentorship, startup development, and the opportunities and challenges involved in building successful <a href="http://ventures.Whether" target="_blank" title="ventures.Whether">ventures.Whether you are a student, researcher, early-career professional, or aspiring entrepreneur, this event offers valuable insights while celebrating the contributions of women in STEM innovation and <a href="http://entrepreneurship.A" target="_blank" title="entrepreneurship.A">entrepreneurship.A networking session with refreshments will follow the panel <a href="http://discussion.Registration" target="_blank" title="discussion.Registration">discussion.Registration is required. Please scan the QR code on the event flyer to register. Seating is limited, and registrations will be accepted on a first-come, first-served <a href="http://basis.Room:">basis.[]Room: EN 3075, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada

  • Photonics for AI infrastructure

    Room: TBA, Le Centre Sheraton Montreal Hotel, 1201 René-Lévesque Blvd W, Montreal, Quebec, Canada, H3B 2L7, Virtual: https://events.vtools.ieee.org/m/562423

    The International Telecommunication Union (ITU) and the IEEE Photonics Society Montreal Chapter are pleased to present the workshop “Photonics for AI Infrastructure”, to be held Sunday, July 5, 2026, in Montreal, <a href="http://Canada.The" target="_blank" title="Canada.The">Canada.The program and registration will be available by June 15th 2026This workshop will provide a collaborative platform for stakeholders involved in the evolution of AI infrastructure, including scale-up, scale-out, and scale-across architectures. It will feature technical presentations and discussions on key enabling technologies such as:- Fiber network sensing and advanced optical infrastructure- Co-packaged optics for high-performance computing systems- Optical circuit switching for data center and network scalability- Photonic and quantum computing technologiesThe workshop aims to foster dialogue, knowledge exchange, and partnerships across industry, academia, and standards organizations. In particular, it seeks to strengthen collaboration between ITU-T Study Group 15 and the broader photonics research, development, and innovation community by addressing topics of shared interest and strategic <a href="http://importance.Program" target="_blank" title="importance.Program">importance.Program Committee- Matt Posner, Axonal Networks- Glenn Parsons, Ericsson- Benton Qiu, McGill University- Aleksandar Nikic, McGill University- Santiago Bernal, McGill University- Anabel Alarcon, ExfoCo-sponsored by: STARACOM. <a href="http://ITU.Agenda:" target="_blank" title="ITU.Agenda:">ITU.Agenda: Speakers confirmed- Mohammad Alavirad, Dell- Christine Tremblay, ETS- Jun Shan Wey, Verizon- Fabio Cavaliere, Ericsson- David Plant, McGill University- Marcel Boudreau, Lumentum- Piotr Roztocki, Ki3 Photonics- Jose Garcia-Echeverria, Axonal NetworksFull program to followRoom: TBA, Le Centre Sheraton Montreal Hotel,1201 René-Lévesque Blvd W, Montreal, Quebec, Canada, H3B 2L7, Virtual: https://events.vtools.ieee.org/m/562423

  • Messy measurements…and the opportunities they provide in mental health

    Room: 321, Bldg: Duff Medical Building, 3775 Rue University, Montreal, Quebec, Canada, Virtual: https://events.vtools.ieee.org/m/561886

    []In the field of mental health, the vast majority of measurements are intrinsically "messy". This messiness stems from the difficulty in measuring ground-truth phenomena which are inaccessible. This results in off-target variations due to human interpretations, difficult-to-characterize biases, and widespread infrastructure inefficiencies. However, rather than viewing these factors solely as a hindrance, this talk explores the distinct opportunities they present to improve research robustness in research and clinical care. Drawing on concrete examples across MRI, biometrics, and clinical assessments, this presentation highlights how robust computational infrastructure can turn analytical variation into a tool for improving the generalizability of brain-behavior models. It also demonstrates how engaging the broader data science community through open data initiatives and competitions can help solve complex challenges, such as accurately detecting sleep states from wrist-worn actigraphy data. Finally, the talk illustrates how leveraging open data, software engineering, and carefully constrained Artificial Intelligence tools can transform unstructured clinical assessments into scalable, accessible tools for public good. Ultimately, this presentation outlines a principled framework for using software engineering and AI in mental health research and care in a way that can accelerate discovery and increase access without increasing the risk of <a href="http://harm.Room:" target="_blank" title="harm.Room:">harm.Room: 321, Bldg: Duff Medical Building, 3775 Rue University, Montreal, Quebec, Canada, Virtual: https://events.vtools.ieee.org/m/561886

  • IEEE OES-GRSS-APS Invited Talk 2 (14 July 2026)

    Room: 1203, Bldg: CSF, St. John's, Newfoundland and Labrador, Canada

    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