The LACCEI Committee in Learning Engineering and Online Laboratories has the purpose of generating international collaboration among researchers from LACCEI member institutions, as well as promoting research and generation of proposals for grantHybrid Panel:Trends and Experiences in Online Laboratories, Standards, Security Concerns and the Role of Emerging Technologies in the Development of Learning Engineering ProcessesThe goals of this panel are:- To create spaces of collaboration in the online laboratories area with LACCEI and IEEE <a href="http://communities.-" target="_blank" title="communities.-">communities.- To disseminate the current state of the development of online laboratories and the efforts of <a href="http://standardization.-" target="_blank" title="standardization.-">standardization.- To set the ground base for the study group being created for the next cycle of update of the 1876-2019 - IEEE Standard for Networked Smart Learning Objects for Online LaboratoriesAgenda: The format of the panel will be an open hybrid conversation round table with participants in person and remote through <a href="http://Zoom.We" target="_blank" title="Zoom.We">Zoom.We will have 8 questions that we are going to ask the panelists to have some answers and a <a href="http://discussion.1.What" target="_blank" title="discussion.1.What">discussion.1.What current global trends are shaping the development and adoption of online laboratoriesin engineering education?2. How can standardization efforts support the scalability and sustainability of remotelaboratories?3. What are the key security and data privacy concerns associated with remote labs, and howcan institutions mitigate these risks?4. In what ways are emerging technologies—such as AI, IoT—transforming the landscape ofonline laboratories and learning engineering?5. Can you share examples of successful international collaborations or funded projectsinvolving online laboratories? What lessons did you acquire from them?6. How can remote laboratories be made more inclusive and accessible to under-resourcedinstitutions or students in developing regions?7. What role does Learning Engineering play in designing, deploying, and assessing theeffectiveness of online laboratories?8. What are the most urgent research gaps in the field of online laboratories, and how can wefoster collaborative proposals to address them?Spanish Version:1. ¿Qué tendencias globales actuales están dando forma al desarrollo y adopción delaboratorios en línea en la educación en ingeniería?2. ¿Cómo pueden los esfuerzos de estandarización apoyar la escalabilidad y sostenibilidad delos laboratorios remotos?3. ¿Cuáles son las principales preocupaciones en torno a la seguridad y la privacidad de losdatos asociadas con los laboratorios remotos, y cómo pueden las instituciones mitigar estosriesgos?4. ¿De qué manera las tecnologías emergentes —como la inteligencia artificial y el Internet delas cosas (IoT)— están transformando el panorama de los laboratorios en línea y elaprendizaje en ingeniería?5. ¿Puede compartir ejemplos de colaboraciones internacionales exitosas o proyectosfinanciados que involucren laboratorios en línea? ¿Qué lecciones aprendieron de ellos?6. ¿Cómo se pueden hacer los laboratorios remotos más inclusivos y accesibles parainstituciones con pocos recursos o estudiantes en regiones en desarrollo?7. ¿Qué papel desempeña el “Learning Engineering” en el diseño, implementación yevaluación de la efectividad de los laboratorios en línea?8. ¿Cuáles son las brechas de investigación más urgentes en el campo de los laboratorios enlínea, y cómo podemos fomentar propuestas colaborativas para abordarlas?Mexico City, Mexico, Mexico, Virtual: https://events.vtools.ieee.org/m/493177

Abstract: Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-world applications, while this problem remains theoretically under-explored. This paper tackles the multi-objective reinforcement learning (MORL) problem and introduces an innovative actor-critic algorithm named MOAC which finds a policy by iteratively making trade-offs among conflicting reward signals. Notably, we provide the first analysis of finite-time Pareto-stationary convergence and corresponding sample complexity in both discounted and average reward settings. Our approach has two salient features: (a) MOAC mitigates the cumulative estimation bias resulting from finding an optimal common gradient descent direction out of stochastic samples. This enables provable convergence rate and sample complexity guarantees independent of the number of objectives; (b) With proper momentum coefficient, MOAC initializes the weights of individual policy gradients using samples from the environment, instead of manual initialization. This enhances the practicality and robustness of our algorithm. Finally, experiments conducted on a real-world dataset validate the effectiveness of our proposed <a href="http://method.Room:" target="_blank" title="method.Room:">method.Room: 430, Bldg: EOW, University of Victoria, Victoria, British Columbia, Canada

There is a concern about the adverse health effects of exposure to electromagnetic fields (EMF) radiated from the numerous wireless devices and base stations. This becomes more critical as wireless technologies have rapidly evolved, implementing the mm-wave frequency range to fulfill massive communication demands. EMF exposure can be categorized into two parts: at lower frequencies (below 6 GHz) and high frequencies (above 6 GHz). For lower frequencies, the EMF exposure is quantified by a specific absorption rate (SAR), while for high frequencies, the EMF exposure is quantified by power density (PD). Compliance with EMF exposure limits is necessary for designing wireless devices and <a href="http://networks.Furthermore" target="_blank" title="networks.Furthermore">networks.Furthermore, the introduction of millimeter-wave (mm-wave) frequencies in cellular networks addresses the need for high-speed wireless communication. However, mm-wave signals experience high attenuation predominantly due to their susceptibility to blockage and high directivity. This consequently causes non-line-of-sight (NLOS) conditions and signal attenuations. A reconfigurable intelligent surface (RIS) is one of the possible methods that can solve blockage issues by passively reflecting and rerouting mm-wave signals in desired directions. RIS can enhance network coverage and decrease the effects of blockages compared to networks without <a href="http://RISs.Speaker(s):" target="_blank" title="RISs.Speaker(s):">RISs.Speaker(s): Norhuda, Dr. NorRoom: 212, Bldg: E, 1 Georgian Drive, Barrie, Ontario, Canada, L4M 3X9

Abstract:It is well known that a beamformer aims to receive the signal-of-interest at a possibly known direction-of-arrival while suppressing the surrounding interferences and noise. In this talk, the beamforming concept is exploited to the application of video background and object extraction. The formulated problems are solved by alternating direction method of multipliers, fixed point iterations, and Lagrange programming neural network. Experimental results on real video sequences with different complex backgrounds demonstrate the excellent performance of the proposed approach. Possible research directions in this area will also be <a href="http://discussed.Biography:Hing" target="_blank" title="discussed.Biography:Hing">discussed.Biography:Hing Cheung So was born in Hong Kong. He received the B.Eng. degree from the City University of Hong Kong and the Ph.D. degree from The Chinese University of Hong Kong, both in electronic engineering, in 1990 and 1995, respectively. From 1990 to 1991, he was an Electronic Engineer with the Research and Development Division, Everex Systems Engineering Ltd., Hong Kong. During 1995–1996, he was a Postdoctoral Fellow with The Chinese University of Hong Kong. From 1996 to 1999, he was a Research Assistant Professor with the Department of Electronic Engineering, City University of Hong Kong, where he is currently a Professor. His research interests include detection and estimation, fast and adaptive algorithms, multidimensional harmonic retrieval, robust signal processing, source localization, and sparse approximation. He has been on the editorial boards of IEEE Signal Processing Magazine (2014–2017), IEEE Transactions on Signal Processing (2010–2014), Signal Processing (2010–), and Digital Signal Processing (2011–). He was also Lead Guest Editor for IEEE Journal of Selected Topics in Signal Processing, special issue on “Advances in Time/Frequency Modulated Array Signal Processing” in 2017. In addition, he was an elected member in Signal Processing Theory and Methods Technical Committee (2011–2016) of the IEEE Signal Processing Society where he was chair in the awards subcommittee (2015–2016). He has been named a 2015 IEEE Fellow in recognition of his contributions to spectral analysis and source <a href="http://localization.Agenda:" target="_blank" title="localization.Agenda:">localization.Agenda: 12:30 PM: Pizza lunch1:00 PM: IEEE TalkRoom: WLH 314, Bldg: Walter Light Hall, Queen's University, 19 Union St, Kingston, Ontario, Canada

[]Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a technical talk presented by Dr. Shideh Kabiri Ameri from Queen's <a href="http://University.Monday" target="_blank" title="University.Monday">University.Monday, July 21, 2025 @ 2:00 – 3:00 PM (EST)Abstract: Wearable devices for health monitoring are conveniently being miniaturized, their functionalities have been increased, and they are rapidly being integrated into our daily life. However, the current commercialized wearables are not mechanically compatible with soft, stretchable and dynamic skin which is normally the first point of contact to the body in wearables. This results not only in discomfort but also causes low fidelity and reliability during long term <a href="http://sensing.In" target="_blank" title="sensing.In">sensing.In this talk, Dr. Kabiri will discuss various novel approaches they have taken to address these issues. Their developed unconventional wearable devices for health monitoring have high sensing performance and low motion artifacts, and in some cases offer visual imperceptibility and non-intrusive sensing that satisfy the user’s privacy and mental <a href="http://comfort.Speaker(s):" target="_blank" title="comfort.Speaker(s):">comfort.Speaker(s): Shideh Kabiri Ameri, Ph.D., Virtual: https://events.vtools.ieee.org/m/486792

Please join us for an upcoming seminar by Dr. Zhi Ning Chen, Professor at the National University of <a href="http://Singapore.Date:" target="_blank" title="Singapore.Date:">Singapore.Date: Monday, 21 July 2025Time: 3 – 4 pm (ET)Location: University of Toronto, Room BA 2135, Bahen Centre for Information Technology, 40 St George St, Toronto, M5S 2E4Abstract:The rapid evolution of wireless technologies continues to drive the demand for increasingly advanced antenna solutions. Simultaneously, breakthroughs in artificial intelligence (AI)—particularly in generative neural network methodologies—are opening new frontiers in antenna design <a href="http://innovation.This" target="_blank" title="innovation.This">innovation.This talk begins with a brief overview of the challenges involved in high-performance antenna design, emphasizing the need to explore broader design spaces to increase degrees of freedom and uncover novel solutions. To address the resulting complexity, transformative deep learning (DL) models—a subset of machine learning (ML) within AI—are introduced as tools for generative synthesis in antenna <a href="http://design.Three" target="_blank" title="design.Three">design.Three design exemplars utilizing generative adversarial networks (GANs) are presented, demonstrating innovative approaches to metacell design within metasurfaces. These are achieved through pixelization strategies and DL-driven algorithms. A particular focus is placed on the integration of prior knowledge (PK) into the DL-based synthesis process, illustrating its effectiveness in generating metacells for metalens <a href="http://applications.The" target="_blank" title="applications.The">applications.The presentation further highlights how metalenses synthesized using PK-guided DL methods exhibit breakthrough performance and offer enhanced functionalities in metalens antenna design. The talk concludes with a forward-looking perspective on the integration of AI and antenna engineering, outlining its transformative potential and the emerging challenges and opportunities in this evolving interdisciplinary <a href="http://domain.Biography:Zhi" target="_blank" title="domain.Biography:Zhi">domain.Biography:Zhi Ning Chen received his two Ph.D. degrees in 1993 and 2003 from institutions in China and Japan, respectively. He currently serves as a Provost’s Chair Professor in the Department of Electrical and Computer Engineering and as Director of the Advanced Research and Technology Innovation Centre at the National University of <a href="http://Singapore.Professor" target="_blank" title="Singapore.Professor">Singapore.Professor Chen has authored or co-authored 722 journal and conference papers, along with seven books. His current research interests include electromagnetic materials and metasurfaces, antenna engineering and its applications, and algorithms for generative antenna <a href="http://design.He" target="_blank" title="design.He">design.He was elevated to IEEE Fellow in 2007, elected Fellow of the Academy of Engineering, Singapore in 2019, and is a Fellow and Vice President of the Asia-Pacific Artificial Intelligence Association (2021). Among numerous academic and technical honors, he received the IEEE AP-S John Kraus Antenna Award in 2021 and the EurAAP Antenna Award in 2025.In addition to his research achievements, Professor Chen has played leading roles in international conferences. He served as the General Chair of the 2021 IEEE AP-S Symposium (Singapore) and is the Founding General Chair of several key conferences, including the IEEE International Workshop on Antenna Technology (2005), the Asia-Pacific Conference on Antennas and Propagation (2012), and the Marina Forum on Metantennas+X (2021).[]Speaker(s): Dr. Zhi Ning Chen, Room: BA 2135, Bldg: Bahen Centre for Information Technology, 40 St George Street, Toronto, Ontario, Canada, M5S 2E4

Dear all,The IEEE Women in Engineering (WIE) Victoria Chapter warmly invites you to an exciting evening of Lightning Talks, taking place on July 21, 2025, from 5:00 PM to 7:00 PM at ECS 660, University of <a href="http://Victoria.This" target="_blank" title="Victoria.This">Victoria.This event is designed to showcase the dynamic research and innovation in our local engineering <a href="http://community.Event" target="_blank" title="community.Event">community.Event Highlights include:- Faculty & Industry Lightning Talks: 5-minute presentations from speakers sharing cutting-edge work and technical interests- Student Pitch Competition: Undergraduate and graduate students will present a past/current project, interesting topics, or co-op experience (max. 3 slides). Top presenters will receive gift cards ($100 CAD, $75 CAD, and $50 CAD for 1st, 2nd, and 3rd places, respectively)- Networking: Connect with faculty, students, and industry guests over light refreshments Register by July 14: (<a href="https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.google.com%2Fforms%2Fd%2Fe%2F1FAIpQLScD8bmj0HhSvy3ZAsn6ugv2m2uG25Qba-19Z6NSCQV-DjZhKw%2Fviewform&data=05%7C02%7Ckvalente%40uvic.mail.onmicrosoft.com%7Cd22776544fc84cfce3ae08ddbe3e611b%7C9c61d3779894427cb13b1d6a51662b4e%7C0%7C0%7C638875897337430689%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=qvK3XV%2F1OBgeDx5JjeYP36282li7ALxR3zxiQh%2Blww8%3D&reserved=0)We" target="_blank" title="https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.google.com%2Fforms%2Fd%2Fe%2F1FAIpQLScD8bmj0HhSvy3ZAsn6ugv2m2uG25Qba-19Z6NSCQV-DjZhKw%2Fviewform&data=05%7C02%7Ckvalente%40uvic.mail.onmicrosoft.com%7Cd22776544fc84cfce3ae08ddbe3e611b%7C9c61d3779894427cb13b1d6a51662b4e%7C0%7C0%7C638875897337430689%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=qvK3XV%2F1OBgeDx5JjeYP36282li7ALxR3zxiQh%2Blww8%3D&reserved=0)We">https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.google.com%2Fforms%2Fd%2Fe%2F1FAIpQLScD8bmj0HhSvy3ZAsn6ugv2m2uG25Qba-19Z6NSCQV-DjZhKw%2Fviewform&data=05%7C02%7Ckvalente%40uvic.mail.onmicrosoft.com%7Cd22776544fc84cfce3ae08ddbe3e611b%7C9c61d3779894427cb13b1d6a51662b4e%7C0%7C0%7C638875897337430689%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=qvK3XV%2F1OBgeDx5JjeYP36282li7ALxR3zxiQh%2Blww8%3D&reserved=0)We look forward to celebrating the incredible talent and innovation in our <a href="http://community.Warm" target="_blank" title="community.Warm">community.Warm regards,Dr. Karolina ValenteChair, IEEE Women in Engineering – Victoria ChapterCo-sponsored by: VoxCell BioInnovationRoom: 660, Bldg: ECS, 3800 Finnerty Road, Engineering Office Wing Room 548, Victoria, British Columbia, Canada, V8P 5C2

Please join us for an upcoming seminar by Dr. Alex Wong, Associate Professor at City University of Hong <a href="http://Kong.Date:" target="_blank" title="Kong.Date:">Kong.Date: Tuesday, 22 July 2025Time: 3 – 4 pm (ET)Location: University of Toronto, Room BA 2135, Bahen Centre for Information Technology, 40 St George St, Toronto, M5S 2E4Abstract:Electromagnetic meta-devices of various kinds have emerged in the last 20 years to manipulate electromagnetic waves with unprecedented freedom, implicating microwave to optical frequencies, enhancing our understanding on fundamental physical phenomena and finding applications in microscopy, biomedicine and wireless communication and power transfer, to name a few. In this talk, I will review recent progress in my research group into main electromagnetic meta-devices: the discrete metasurface and the directional <a href="http://source.The" target="_blank" title="source.The">source.The discrete metasurface is an approach to treat the metasurface as an inherently pixelated surface with spatially discrete electromagnetic properties. Through taking this approach, we understand how discretization changes the metasurface performance and to what degree the metasurface can tolerate discretization. In some cases, we can also achieve functionalities which are impossible or unobvious to the continuous metasurface. Aggressive discretization can help to enlarge the size of the meta-atom, enabling enhanced bandwidth, reduction of fabrication tolerance, and the design of multifunction and intelligent metasurfaces for sensing, communication and <a href="http://imaging.Directional" target="_blank" title="imaging.Directional">imaging.Directional electromagnetic sources have attracted much recent attention as they form building blocks to meta-devices that manipulate the travel direction of electromagnetic waves. We juxtapose the near- and far-field properties of the circular, Huygens, and Janus dipoles, and show that the Huygens and Janus dipoles both exhibit directional near-field coupling behavior, but possess very different far-field radiation behaviors. This gives them complementary application potentials. While existing Janus dipoles are essentially sub-wavelength structures that scatter a small part of an incident wave, we introduce the Janus antenna – an active Janus dipole fed by a transmission line, which dramatically increases the power throughput and the bandwidth over which the near-field directional behavior can be achieved. The Janus dipole can be used as either an antenna a meta-device or a meta-atom, with promising potentials in directional switching, MIMO antenna and compact WPT <a href="http://systems.Biography:Alex" target="_blank" title="systems.Biography:Alex">systems.Biography:Alex M. H. Wong (M’ 2014, SM’2019) received the B.A.Sc. degree in engineering science (electrical option) and the M.A.Sc. and Ph.D. degrees in electrical and computer engineering from the University of Toronto, Toronto, ON, Canada, in 2006, 2009, and 2014, respectively. He was a Post-Doctoral Fellow with the University of Toronto. He is currently an Associate Professor with the Department of Electrical Engineering, City University of Hong Kong, Hong Kong, where he is also a Member of the State Key Laboratory of Terahertz and Millimeter Waves. He has advanced multiple projects in applied electromagnetics on next-generation RF, infrared, and optical metasurfaces, super-resolution imaging and radar systems. Particularly, he has made academic contributions to research on wave shaping using discrete Huygens’ metasurfaces and far-field imaging based on super-oscillation waves. His current research interests include metasurfaces, metamaterials, superresolution systems, bioelectromagnetics, and wireless power <a href="http://transfer.Prof" target="_blank" title="transfer.Prof">transfer.Prof. Wong is a member of IEEE Antennas and Propagation Society, Microwave Theory and Technology Society, and Photonics Society. He received accolades include an IEEE RWP King Award (for the best annual publication by a young author in IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION), the URSI Young Scientist Award, the Raj Mittra Grant, the IEEE Doctoral Research Awards from the AP and MTT societies, and the Canada Graduate Scholarship (doctoral level). He has served as the General Co-Chair for the 2025 International Workshop in Electromagnetics: Applications and Student Innovation Competition (iWEM 2025), the General Co-Chair for the 2022 IEEE HK AP-MTT Postgraduate Student Conference, and the TPC Vice-Chair for the 2020 Asia-Pacific Microwave Conference (APMC 2020). He has taken on various program committee, session chair, technical judge, and reviewer duties for IEEE conferences and journal publications in the AP and MTT societies, as well as relevant venues in applied <a href="http://physics.Speaker(s):" target="_blank" title="physics.Speaker(s):">physics.Speaker(s): Dr. Alex Wong, Room: BA 2135, Bldg: Bahen Centre for Information Technology, 40 St George Street, Toronto, Ontario, Canada, M5S 2E4

Please join us for the inaugural event of the IEEE Industrial Electronics Society (IES) Chapter at the IEEE Canadian Atlantic <a href="http://Section.We" target="_blank" title="Section.We">Section.We are pleased to host Dr. Min Xia, who will deliver an engaging and insightful seminar on second-life applications of retired lithium-ion batteries in sustainable energy <a href="http://storage.Title:" target="_blank" title="storage.Title:">storage.Title: Repurposing Retired Lithium-ion Batteries from Electric Vehicles for Sustainable EnergyAttendees are welcome to join the seminar in person at Dalhousie University or participate virtually via Zoom. Full details can be found <a href="http://below.Date" target="_blank" title="below.Date">below.Date and TimeDate: July 23, 2025Time: 10:00 AM – 11:30 AM (Atlantic Time)LocationIn-Person:Room MA 121, Industrial Engineering BuildingSexton Campus, Dalhousie UniversityHalifax, Nova Scotia, CanadaVirtual (via Zoom):Zoom link: <a href="https://ieee-ies.zoom.us/j/86894164928?pwd=c0m04uuZbbudaeoBaY60hCA5UXIOVe.1Meeting" target="_blank" title="https://ieee-ies.zoom.us/j/86894164928?pwd=c0m04uuZbbudaeoBaY60hCA5UXIOVe.1Meeting">https://ieee-ies.zoom.us/j/86894164928?pwd=c0m04uuZbbudaeoBaY60hCA5UXIOVe.1Meeting ID: 868 9416 4928Passcode: 793286HostIEEE Industrial Electronics Society at Canadian Atlantic Section ChapterRegistrationNo registration required. Admission is <a href="http://free.All" target="_blank" title="free.All">free.All IEEE members and the public are welcome to <a href="http://attend.SpeakerDr" target="_blank" title="attend.SpeakerDr">attend.SpeakerDr. Min XiaAssociate Professor, Western UniversityDirector, Machine Intelligence Laboratory (MIN Lab)[]Talk AbstractThe increasing adoption of electric vehicles is generating massive volumes of retired lithium-ion batteries (RLiBs), most of which still retain up to 80% of their original capacity. While unsuitable for reuse in vehicles, these batteries present great potential for second-life energy storage systems. However, the transition is not without challenges. This seminar will explore the latest AI-driven methodologies developed at Western University for state-of-charge (SOC), state-of-health (SOH), and remaining useful life (RUL) estimation of RLiBs. Emphasis will be placed on interpretability, data challenges, and real-world deployment across varying battery <a href="http://conditions.Speaker" target="_blank" title="conditions.Speaker">conditions.Speaker BiographyDr. Min Xia is an Associate Professor and Director of the Machine Intelligence Laboratory (MIN Lab) in the Department of Mechanical and Materials Engineering at Western University. He previously served as Associate Professor at Lancaster University in the UK and earned his Ph.D. from the University of British Columbia. Dr. Xia’s work spans intelligent condition monitoring, smart clean energy systems, and data-driven manufacturing. He has led 17 research projects across Canada, the UK, and Japan, with combined funding of over $20 million. Listed among Stanford’s World’s Top 2% Scientists since 2020, he currently serves as Editor-in-Chief of the Journal of Mechatronic Systems and Control and Associate Editor for five IEEE <a href="http://Transactions.Room:" target="_blank" title="Transactions.Room:">Transactions.Room: Room MA 121, Bldg: Industrial Engineering Building, Sexton Campus, Dalhousie University , Halifax, Nova Scotia, Canada, B3H 4R2, Virtual: https://events.vtools.ieee.org/m/491183

This presentation begins by reviewing the fundamentals and key characteristics of social networks, along with primary challenges such as community detection, link prediction, and influence maximization. We then explore how these problems can be framed as multi-objective optimization tasks that require balancing multiple goals simultaneously. To address these problems, a knowledge-driven computational approach is presented that guides the optimization process by leveraging various sources of knowledge extracted from the network structure. Finally, we discuss the effectiveness of this approach in handling the complex and dynamic nature of social <a href="http://networks.Speaker(s):" target="_blank" title="networks.Speaker(s):">networks.Speaker(s): Pooya Moradian ZadehBldg: School of Computer Science, Advanced Computing Hub, 4th Floor, 300 Ouellette Ave., Windsor, Ontario, Canada

[]Patients with muco-obstructive airway diseases, such as cystic fibrosis, rely on daily therapies to help clear their airways. High-frequency chest compression (HFCC) devices offer a home-based solution, but variations in operating frequency raise concerns about treatment consistency and <a href="http://effectiveness.In" target="_blank" title="effectiveness.In">effectiveness.In this webinar, Arife Uzundurukan, a postdoctoral fellow at Polytechnique Montreal, will demonstrate how the COMSOL Multiphysics® software was used to develop a computed tomography-based finite element model (CT-FEM) for predicting thoracic vibratory responses across HFCC operating frequencies (5–100 Hz). The presentation will explore how lung behavior was simulated using Biot’s theory, under both normal and pathological <a href="http://conditions.A" target="_blank" title="conditions.A">conditions.A detailed multi-organ thoracic model — including the lungs, ribcage, trachea, and soft tissues — was created as a digital twin using a sequential workflow involving four different software platforms. The HFCC device itself was modeled as an acoustic pressure <a href="http://source.Results" target="_blank" title="source.Results">source.Results reveal that the frequency response function (FRF) peaks observed in the model align closely with findings from three independent experimental studies. Notably, changes in alveolar radius significantly influence wave velocity and energy density within the lungs, without substantially altering the thorax’s overall <a href="http://FRF.Attend" target="_blank" title="FRF.Attend">FRF.Attend this live webinar to see how this study advances CT-FEM methodology for multi-organ simulations and deepens our understanding of low-frequency thoracic resonance. You will also get a look at how COMSOL Multiphysics® is vital for biomedical and vibroacoustic modeling of human thorax digital <a href="http://twins.Co-sponsored" target="_blank" title="twins.Co-sponsored">twins.Co-sponsored by: COMSOL Multiphysics®Virtual: https://events.vtools.ieee.org/m/493119

The IEEE AP-S Student Branch Chapter at the University of Toronto is pleased to invite you to a Distinguished Lecturer Seminar by Prof. Eng Leong Tan of Nanyang Technological University, Singapore. Prof. Tan is an IEEE AP-S Distinguished Lecturer (2025–2027) and a renowned expert in computational electromagnetics and EM <a href="http://education.Date:" target="_blank" title="education.Date:">education.Date: Thursday, 24 July 2025Time: 2 – 4 pm (ET)Location: University of Toronto, Room BA B024, Bahen Centre for Information Technology, 40 St George St, Toronto, M5S 2E4Abstract (DL talk 1: Explicit, Implicit and Fundamental Schemes for FDTD Methods in Electromagnetics Computation and Education):In this talk, some explicit, implicit and fundamental schemes for finite-difference time-domain (FDTD) methods in electromagnetics (EM) computation and education are presented. A brief introduction is first given to the popular explicit finite-difference time-domain (FDTD) scheme, which is subjected to Courant-Friedrichs-Lewy (CFL) stability condition. This is followed by the development of various implicit FDTD schemes, which are unconditionally stable FDTD methods without the constraint of CFL time-step size. These methods include alternating direction implicit (ADI) FDTD, locally one-dimensional (LOD) FDTD, split-step (SS) FDTD, Crank-Nicolson direct splitting (CNDS), leapfrog ADI/LOD, complying-divergence implicit (CDI) FDTD, etc. They are discussed in the context of matrix exponential and classical implicit schemes named after Peaceman-Rachford, Douglas-Gunn, D’Yakonov, Strang, Crank-Nicolson, etc. It is noted that many classical and recent implicit methods can be transformed and unified under the same family of fundamental schemes. Such family of schemes feature similar update procedures with concise matrix-operator-free right-hand sides involving only vector operations. Since vector operations are much less expensive than matrix ones, the fundamental schemes are simpler and more efficient than many previous implicit FDTD methods of similar accuracy. A comparative study of various unconditionally stable FDTD methods is carried out, which includes comparisons of their update equations and efficiency gains (flops reduction) along with insights into their inter-relations. Extension of FDTD method is also presented based on new fundamental EM quantities of field-impulses that replace fields and potentials/gauge. Such method is applicable to solve all static and dynamic problems due to all charges and/or currents. Efficient implementations of fundamental schemes of FDTD methods on mobile devices are discussed for enhanced EM teaching and learning with real-time simulations anytime, <a href="http://anywhere.Abstract" target="_blank" title="anywhere.Abstract">anywhere.Abstract (DL talk 2: Fundamental Quantity and Equations for Electromagnetics from Classical to Quantum – Replacing 160-Year-Old Maxwell Equations for Classical and Quantum)It has been 160 years now since Maxwell completed his equations of electromagnetics (EM) in 1865. Today, these equations have been written in our familiar beautiful form, in terms of fields (E and B) typically and potentials (A and phi) occasionally. However, since Maxwell-Hertz-Heaviside era, there have been longstanding dilemma to use either fields or potentials (or both) for EM, and for the potentials, which gauge condition should be imposed, e.g. Lorenz gauge, Coulomb gauge, etc. The present talk will introduce new gauge-invariant physical quantity of field-impulses for new fundamental equations of electromagnetics. Unlike the potentials that are gauge-dependent and may not be physical nor causal, the field-impulses are like fields being gauge-independent, physically real, causal and measurable. Using single wave equation in terms of electric field-impulse can provide the complete description of all electromagnetics. The electric field-impulse is the single physical quantity that can unify not only electrodynamics but also electrostatics and magnetostatics, which otherwise remain independent and left separated all this while. It can completely embed all fields and potentials attributed to static/dynamic and steady/nonsteady charge and/or current distributions. The field-impulses facilitate the development of finite-difference time-domain (FDTD) method for simulating all electromagnetic phenomena, even including electrostatics (recall that traditional FDTD has no static charge which calls for Poisson/Laplace equation!). Moreover, unlike the fields that under-describe quantum-EM, the field-impulse can explain fully the Aharonov-Bohm (AB) effect and appear naturally in Schrodinger equation. The field-impulses not only resolve the century-old field-potential/gauge dilemma, but also aptly describe quantum-EM interactions. They constitute the fundamental physical quantities that are promising for replacing fields, potentials, and ultimately Maxwell equations from classical to <a href="http://quantum.Biography:Eng" target="_blank" title="quantum.Biography:Eng">quantum.Biography:Eng Leong Tan (SM’06) received the B.Eng. (Electrical) degree with first class honors from the University of Malaya, Malaysia, and the Ph.D. degree in Electrical Engineering from Nanyang Technological University (NTU), Singapore. From 1999 to 2002, he was with Institute for Infocomm Research, Singapore and since 2002, he has been with the School of Electrical & Electronic Engineering, NTU. His research interests include computational electromagnetics (CEM), multi-physics (including quantum, acoustics, thermal), RF/microwave circuit and antenna design. He has published more than 130 journal papers and presented more than 90 conference papers. He and his students received numerous paper and project awards/prizes including: 2019 Ulrich L. Rohde Innovative Conference Paper Award on Computational Techniques in Electromagnetics, First Prize in 2014 IEEE Region 10 Student Paper Contest, First Prize in 2014 IEEE MTT-S Student Design Contest on Apps for Microwave Theory and Techniques, First Prize in 2013 IEEE AP-S Antenna Design Contest, etc. He was the recipient of the IEEE AP-S Donald G. Dudley Jr. Undergraduate Teaching Award with citation: “For excellence in teaching, student mentoring, and the development of mobile technologies and computational methods for electromagnetics education.” He has been actively involved in organizing many conferences, including General Chair of PIERS 2017 Singapore, TPC Chair of ICCEM 2020, APCAP 2018 (Auckland) and 2015 (Bali), as well as TPC Chair of IEEE APS/URSI 2021. He is a Fellow of ASEAN Academy of Engineering and Technology, and a Fellow* of the Electromagnetics Academy in recognition of distinguished contributions to “Computational electromagnetics and education”. He has been appointed as the IEEE AP-S Distinguished Lecturer for 2025-2027.Speaker(s): Eng Leong TanRoom: BA B024, Bldg:Bahen Centre for Information Technology, 40 St. George Street Toronto, ON, M5S 2E4, Toronto, Ontario, Canada, M5S 2E4