Events

Back by popular demand, this technical workshop session will focus on advancing your skills in creating scientific illustrations using Blender. The workshop will cover more advanced techniques, including building complex components from scratch, working with materials, and improving scene lighting for professional-quality visuals. Participants are encouraged to bring their laptops and follow along during the hands-on session. Coffee and snacks will be provided. The workshop will take place on Wednesday, February 18th, from 13:00 to 15:00 in Room 214. Interested participants should register by Friday, February 13<a href="http://th.Co-sponsored" target="_blank" title="th.Co-sponsored">th.Co-sponsored by: OPTICA and SPIE Student Chapters at INRSRoom: 214, 1650 Boulevard Lionel-Boulet, Varennes, Quebec, Canada, J3X 1P7

Join us for an in-person career presentation with BC Hydro, designed specifically for BCIT School of Energy <a href="http://students.This" target="_blank" title="students.This">students.This session will introduce a range of career pathways at BC Hydro, featuring representatives from multiple teams, including Interchange Plant Operations, Distribution Design, Communications Protection & Control, and GTT Transmission Maintenance. Speakers will share insights into their roles, day-to-day work, required skills, and career progression within the <a href="http://organization.The" target="_blank" title="organization.The">organization.The event will begin with short presentations, followed by a Q&A and networking session, giving students the opportunity to connect directly with industry professionals, ask questions, and learn more about internships, entry-level roles, and long-term career development at BC <a href="http://Hydro.This" target="_blank" title="Hydro.This">Hydro.This is a great opportunity for students who are exploring career options in the energy sector, preparing for graduation, or simply interested in understanding how BC Hydro supports and develops talent across technical and operational <a href="http://roles.Agenda:">roles.[]Agenda: 3:00 PM Doors open3:30 PM Opening3:40 PM Distribution Designers4:05 PM Interchange Plant Operator4:30 PM Communication Protection & Control4:35 PM GTT Transmission Maintenance5:00 PM Q&A + NetworkingRoom: Townsquare C/D, Bldg: SE2, 3700 Willingdon Avenue, Burnaby, British Columbia, Canada

Winter School on AI and Engineering will be an online event jointly organized by Computing Science, Engineering departments and the IEEE Women in Engineering Thompson Okanagan Affinity Group, which was inaugurated at TRU in December 2025. The Winter School will take place on Tuesday, February 18, from 5:00 to 7:00 PM (PST), and will bring together experts, educators, and students to discuss current developments in artificial intelligence, cybersecurity, robotics, and related engineering <a href="http://fields.Co-sponsored" target="_blank" title="fields.Co-sponsored">fields.Co-sponsored by: Thompson Rivers UniversitySpeaker(s): Airini, Yasin, Musfiq, Behnam, MaryamAgenda: 5.00 to 5.10 – Session Opening5.10 to 5.25 – Opening Remarks – Dr. Airini, President, TRU5.30 to 5.45 – Dr. Yasin Mamatjan, Chair, Engineering Department, TRU5.50 to 6.05 - Dr. Musfiq Rahman, Chair, Department of Computing Science, TRU6.10 to 6.25 – Mr. Behnam Ousat, Senior Software Engineer, Microsoft6.30 to 6.45 - Dr. Maryam Davoudpour, Chair IEEE WiE Canada6.45 to 7.00 – Q/A and NetworkingVirtual: https://events.vtools.ieee.org/m/534267

Bonjour à tous (English follows),Nous avons le plaisir de vous convier à la quatrième édition de notre Journal Club SBioML, organisée cette fois-ci en collaboration avec le chapitre IEEE CAS et le groupe IEEE Young Professionals (YP).· Quand : Jeudi le 19 février 2026, 12h00· Où : PLT-2105Présentation : Rin Baudelet (doctorante en génie électrique) présentera le sujet: « Introduction à l'holographie : applications de base et algorithmie »Résumé: L'holographie est une technique d'imagerie laser utilisée pour l'observation spatiale (3D) notamment dans le domaine de la microscopie. On se propose de vous introduire l'holographie telle que conçue par Gabor en 1948 avec les algorithmes de traitement numérique permettant d'exploiter cette technique d'<a href="http://imagerie.Article" target="_blank" title="imagerie.Article">imagerie.Article clé : G. Liu and P.D. Scott, "Phase retrieval and twin-image elimination for in-line Fresnel holograms". Optical Society of America, 1987.Comme toujours, le dîner est inclus ! De la pizza sera servie à tous les <a href="http://participants.Pour" target="_blank" title="participants.Pour">participants.Pour des raisons logistiques (et pour la commande de pizza !), nous vous prions de confirmer votre présence en remplissant le lien ci-dessous : <a href="https://doodle.com/group-poll/participate/e9AgOYYeÀ" target="_blank" title="https://doodle.com/group-poll/participate/e9AgOYYeÀ">https://doodle.com/group-poll/participate/e9AgOYYeÀ jeudi ! L’équipe du Journal Club SBioML & IEEE CAS / YPCo-sponsored by: IEEE Quebec SectionSpeaker(s): Rin Baudelet, Agenda: · Quand : Jeudi le 19 février 2026, 12h00· Où : PLT-2105Présentation : Rin Baudelet (doctorante en génie électrique) présentera le sujet: « Introduction à l'holographie : applications de base et algorithmie »Room: PLT-2105, Bldg: Adrien-Pouliot, 1065 avenue de la Médecine Adrien-Pouliot Building Adrien-Pouliot Building Adrien-Pouliot Building, Quebec City, Quebec, Canada, G1V 0A6

We are pleased to launch the Introduction to Blockchain IEEE Bilingual Workshop, organized by the IEEE Education Society – Montréal Chapter in collaboration with IEEE Blockchain <a href="http://Montreal.This">Montreal.[]This four-part series begins with Session 1 on February 19, 2026 and is designed to provide a clear, structured foundation in blockchain fundamentals and real-world <a href="http://applications.Delivered" target="_blank" title="applications.Delivered">applications.Delivered in English and French, the workshop is accessible to beginners and professionals alike, with interactive discussion and Q&A.We look forward to welcoming our Montreal tech and engineering <a href="http://community.Full" target="_blank" title="community.Full">community.Full details and registration available via the event <a href="http://link.Speaker(s):" target="_blank" title="link.Speaker(s):">link.Speaker(s): Pierre Marie, MarinaVirtual: https://events.vtools.ieee.org/m/538224

Emerging latency-sensitive applications such as autonomous driving, immersive extended reality, and large-scale sensing are expected to impose more stringent and heterogeneous requirements on beyond-5G/6G communication systems. These applications simultaneously demand ultra-lowlatency, high reliability, and task-specific semantic fidelity under tight bandwidth and computational constraints, which are challenging to address with conventional bit level communication paradigms. Additionally, as current wireless communication systems approach the Shannon capacity limit, coupled with the explosive growth of connected devices with data-intensive applications, making further improvements in transmission efficiency is becoming increasingly critical for future wireless networks. In recent years, semantic communication (SemCom) has emerged as a promising paradigm to bridge this gap by transmitting semantic information (SI) that is most relevant to the downstream task or communication goal and discarding task-irrelevant information to improve transmission efficiency and reduce communication overhead. However, due to the complex task objectives and dynamic environments, the unification of SemCom into current wireless networks is plagued by a plethora of challenges, including but not limited to meeting the diverse needs of heterogeneous users in dynamic conditions and intelligent resource allocation to ensure efficient utilization especially in resource constrained scenarios. Accordingly, this thesis develops novel SemCom frameworks to address these <a href="http://challenges.Firstly" target="_blank" title="challenges.Firstly">challenges.Firstly, to address the challenges posed by diverse channel conditions, changing user task performance demands, and limited computational capabilities amongst users, this thesis proposes CAAR-MTSC (Context-Aware, Adaptive-rate, Multi-Task Semantic Communication), adeep learning-enabled SemCom architecture that supports concurrent downstream tasks. Central to the design is a Semantic Mask Module (SMM) with its two-fold functionality to preserve task-salient SI and discard redundant SI (semantic compression) depending on the dynamic channel conditions and the user’s perceptual need. We then introduce a novel composite rate–distortion– perception (RDP) objective that finds the tradeoff between perceptual quality and data reconstruction. Then, a knowledge distillation (KD) paradigm is introduced to train a lightweight receiver for resource-constrained devices, while relatively retaining the high downstream task performance of the larger computationally intensive receiver. Simulation results prove that the proposed framework is able to achieve high concurrent multi-task accuracy under dynamic channel conditions with changing user needs on resource-constrained <a href="http://devices.Secondly" target="_blank" title="devices.Secondly">devices.Secondly, to address the combinatorial challenges faced with heterogeneous users with diverse multi-tasking and latency needs in a resource constrained wireless network, we introduce a multi-task multi-user semantic communication system to allocate wireless resources and select appropriate degree of semantic compression to meet the needs of heterogeneous users. A novel Segmentation-Guided Dual-Branch Encoder for Multi-Task Semantic Communication (SegDB-MTSC) architecture is proposed to individually extract SI from regions of interest (ROI) and regions of non-interest (RONI). A latency-aware multi-task semantic utility (LAMTSU) term is derived to maximize the comprehensive system performance for diverse users, including their multi-task performance and their latency constraints. A deep reinforcement learning (DRL) algorithm is then used to perform resource allocation to maximize long term system utility. Simulation results illustrate the superiority of the proposed scheme to meet the latency and task needs of <a href="http://users.Virtual:" target="_blank" title="users.Virtual:">users.Virtual: https://events.vtools.ieee.org/m/540170

ExCom Meeting of the Northern Canada SectionAgenda: Refer the Meeting invitation <a href="http://email.Room:" target="_blank" title="email.Room:">email.Room: Main Floor Conference Room, 1103 Parsons Rd SW, Edmonton, Alberta, Canada, T6X 0X2, Virtual: https://events.vtools.ieee.org/m/538251

Electric motors and variable frequency drives (VFDs) are critical assets in industrial facilities, driving pumps, fans, compressors, and other essential equipment. Yet, many plants still rely on time-based maintenance practices that fail to detect early warning signs of failure. This presentation introduces a condition-based monitoring (CBM) strategy designed to enhance motor reliability, reduce downtime, and improve energy <a href="http://efficiency.The" target="_blank" title="efficiency.The">efficiency.The session will explore how vibration analysis and power quality monitoring can be combined to identify common motor issues such as unbalance, misalignment, bearing wear, and harmonic distortion before they lead to unplanned outages. Attendees will learn practical steps to implement CBM programs, including sensor selection, data collection, fault pattern interpretation, and maintenance <a href="http://decision-making.The" target="_blank" title="decision-making.The">decision-making.The presentation will reference key industry standards, including IEEE 519, IEEE 841, and ISO 10816, and highlight emerging opportunities to leverage IoT edge technology for real-time insights. Whether you work in utilities, manufacturing, or engineering services, this talk provides actionable guidance to build a smarter, more reliable motor asset <a href="http://strategy.Speaker(s):" target="_blank" title="strategy.Speaker(s):">strategy.Speaker(s): Roman Agenda: 7:00PM - Introduction of IEEE Hamilton Section7:15PM - Presentation8:00PM - Q&A8:15PM - RefreshmentsRoom: Boardroom, Bldg: Queen Elizabeth Park Community and Cultural Centre, 2302 Bridge Rd,, Oakville,, Ontario, Canada, L6L 2G6

IEEE WIE New Brunswick – Executive Committee Meeting (February 2026)Agenda: - PCB Workshop – Updates and next steps- Annual Reports – Submission updates from last year’s Secretary, Treasurer, and Chair- LinkedIn Profile Optimization Workshop – Planning and preparation- International Women’s Day Celebration – Event planning and coordinationVirtual: https://events.vtools.ieee.org/m/536352

The Optimal Power Flow (OPF) problem is one of the most critical and computationally intensive optimization challenges in power systems, often requiring solutions within very short time intervals, such as five-minute market windows. To address this challenge, we first employ machine learning techniques to approximate the nonlinear power balance equations with linear models, significantly reducing computational complexity. In parallel, we reformulate the OPF problem using shortest-path methods, transforming it into a graph-based optimization framework. This approach enables the computation of high-quality solutions without relying on commercial solvers, while achieving accuracy comparable to state-of-the-art solvers such as <a href="http://Gurobi.Co-sponsored" target="_blank" title="Gurobi.Co-sponsored">Gurobi.Co-sponsored by: Resilience and Clean Energy Systems (RCES)Speaker(s): Sajad Fathi HafshejaniVirtual: https://events.vtools.ieee.org/m/538226

Fanshawe College students have the opportunity to attend a guided tour of one of London’s leading global technology manufacturers. Trojan Technologies is internationally recognized for its advanced water treatment and UV disinfection systems, supporting municipal and industrial infrastructure worldwide. Any Fanshawe College student may register and attend this tour. Please note that students are responsible for arranging their own transportation to and from the Trojan Technologies facility, located at 3020 Gore Rd, London, ON N5V 4<a href="http://T7.IF" target="_blank" title="T7.IF">T7.IF YOU REGISTER FOR THIS EVENT AND CAN NO LONGER ATTEND, PLEASE UNREGISTER SO OTHER STUDENTS HAVE THE OPPORTUNITY TO <a href="http://PARTICIPATE.Co-sponsored" target="_blank" title="PARTICIPATE.Co-sponsored">PARTICIPATE.Co-sponsored by: Trojan Technologies3020 Gore Rd, London, Ontario, Canada, N5V 4T7

Title: Transforming Marine Science with Machine LearningSpeaker: Dr. Zonghua Liu (Robert Gordon University, UK)Abstract: Machine learning (ML), a subfield of artificial intelligence (AI), is centered on the development of computational systems that learn patterns and insights directly from data. Unlike traditional, rule-based programming, these algorithms autonomously improve their performance and accuracy through exposure to more information, effectively "learning" from experience without being explicitly coded for every scenario. The application of machine learning is rapidly transforming the field of marine science and technology. Its ability to process vast, complex, and multidimensional datasets makes it an indispensable tool for modern marine research. Consequently, proficiency in ML is no longer just an advantage but is becoming an essential skill for researchers and professionals aiming to tackle the most pressing challenges in oceanography, ecology, and resource management. This presentation will illustrate this transformative potential through a series of concise case studies. We will explore how ML algorithms are being deployed for critical tasks such as classification, identification, segmentation, sizing and <a href="http://measurement.Biography:" target="_blank" title="measurement.Biography:">measurement.Biography: Dr. Zonghua Liu is now a Lecturer in Robotics in the School of Computing, Engineering and Technology at the Robert Gordon University. He is a member of IEEE and IET. He is also the Secretary of the IEEE OES UKRI Chapter, and Technical Chair IEEE OES OCEANS 27 Aberdeen. He received his B.Eng. degree in Applied Physics, M.SC. degree in Laser Technology degrees in China, and Ph.D. degree in Engineering in the UK. His current research interests include but are not limited to robotics (e.g., underwater and medical), underwater/medical sensors, optical fibre sensors, computer vision, machine-learning-based signal and image processing, water/environment quality monitoring, real-time reporting systems using AI and cloud computing. He has much research experience in underwater sensors, underwater optical imaging and sensing, and machine-learning-based image processing. He has a good track record and is often involved in national/international collaborations (researcher in a UK-Japan project and an EU project, Co-I in two Japan projects and a Turing Ecosystem Leadership Award). His work has been highly respected proven by invitations as a speaker at international conferences/workshops. He has published 20+ papers in international journals and conference proceedings of high <a href="http://reputation.Time:" target="_blank" title="reputation.Time:">reputation.Time: NST 9:30-11:00AM (UTC 13:00-14:30)Link: <a href="https://mun.webex.com/meet/weiminCohost:" target="_blank" title="https://mun.webex.com/meet/weiminCohost:">https://mun.webex.com/meet/weiminCohost: IEEE OES UK & RI ChapterSpeaker(s): Zonghua Liu, Virtual: https://events.vtools.ieee.org/m/538893