Calendar of Events
M
Mon
|
T
Tue
|
W
Wed
|
T
Thu
|
F
Fri
|
S
Sat
|
S
Sun
|
---|---|---|---|---|---|---|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
0 events,
|
6 events,
-
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
-
Join us for an exciting in-person tour of the Tufts Cove Power Generation Facility in Dartmouth, Nova Scotia, on Friday, July 18th, from 10:00 AM to 12:00 <a href="http://PM.This" target="_blank" title="PM.This">PM.This tour offers a behind-the-scenes look at one of Nova Scotia's key energy generation facilities. The plant was originally constructed in 1965 and has undergone several upgrades and addition over the <a href="http://years.The" target="_blank" title="years.The">years.The facility is operated by Nova Scotia Power; the Tufts Cove Generation Station plays a crucial role in supplying electricity to the province and supporting renewable generation. The plant consists of three traditional steam units, two combustion turbines, and one HRSG(Heat Recovery Steam Generators). Attendees will gain insights about the power generation processes, what it takes to ensure the plant operates reliability 24/7, and the plant’s transition towards cleaner <a href="http://energy.The" target="_blank" title="energy.The">energy.The tour will be supported by the Plant Manager, Operations, Maintenance and Engineering <a href="http://Departments.Car-pool" target="_blank" title="Departments.Car-pool">Departments.Car-pool arrangements will be coordinated after sign-up and will depart from two locations:- Dalhousie University, Sexton Campus, Halifax- Macdonald Bridge Terminal, DartmouthTransportation to the tour location and back from these two locations are <a href="http://guaranteed.If" target="_blank" title="guaranteed.If">guaranteed.If you are able to bring PPE (Steel-toed shoes, Hardhat, Safety Glasses) please do so, otherwise they will be provided. Close-toed shoes at a minimum are <a href="http://REQUIRED.Registration" target="_blank" title="REQUIRED.Registration">REQUIRED.Registration is limited so sign up today![]315 Windmill Rd, Dartmouth, Nova Scotia, Canada, B3A 1A7
-
Abstract:In this talk, the sparse signal models in one-dimensional and higher dimensions are first reviewed with representative applications. The problem of sparse two-dimensional signal recovery, referred to a low-rank matrix recovery is then addressed. As a widely-used tool to resist outliers, the correntropy criterion or Welsch function has recently been exploited for robust matrix recovery. However, it down-weighs all observations including uncontaminated data. On the other hand, its implicit regularizer cannot achieve sparseness, which is a desirable property in many practical scenarios. To address these two issues, we devise a novel M-estimator called hybrid ordinary-Welsch (HOW) function, which only down-weighs the outlier-contaminated data, and the IR generated by HOW can attain sparseness. The HOW function is then applied to robust matrix recovery, and an efficient algorithm is developed. Extensive experimental results based on synthetic and real-world data demonstrate that the proposed approach outperforms the state-of-the-art methods in terms of recovery accuracy and <a href="http://runtime.Biography:Hing" target="_blank" title="runtime.Biography:Hing">runtime.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.Room:" target="_blank" title="localization.Room:">localization.Room: S4214, Bldg: Sawyer, Royal Military College, 17 General Crerar Crescent, Kingston, Ontario, Canada |
0 events,
|
0 events,
|
6 events,
-
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning
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 |
1 event,
-
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 |
1 event,
-
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 |
3 events,
-
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
-
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
-
[]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 |
0 events,
|
0 events,
|
0 events,
|
1 event,
-
In the history of Antenna Engineering, there has been only one universal method to steer the beam of any fixed-beam antenna. That’s physically tilting the antenna. This method has been implemented in many commercial antenna systems using motorised mechanical tilting and rotating systems. Now there is another way: Near-Field Meta-Steering, in which two planar phase-gradient metasurfaces (MS) are placed very close to the fixed-beam antenna, in its near field, and are rotated independently. This way, the beam of the antenna can be steered over a large range of zenith angles and complete azimuth range of 3600, without tilting or rotating the antenna. In fact, no part of the system is <a href="http://tilted.A" target="_blank" title="tilted.A">tilted.A Meta-Steering antenna system is only slightly taller than the antenna itself. Lack of tilting means it is much shorter than conventional tilting antennas. In the future, one electronically reconfigurable near-field metasurface may provide 2D beam steering without any mechanical <a href="http://rotation.Since" target="_blank" title="rotation.Since">rotation.Since this method was introduced in the seminal paper in 2017, together with the Near-Field Phase Transformation concept, it has been applied by many industry and academic researchers across the globe to develop novel antenna systems, and to steer the beam of all types of fixed-beam antennas, e.g. Fabry-Perot/resonant cavity antennas, reflector (dish) antennas, metasurface antennas, slot arrays, holographic antennas, and even some end-fire antennas, to name a few. Several different types of metasurfaces have been developed, e.g. standard printed-circuit-board type, all dielectric, all metal, hybrid and 3D-printed, and some research outcomes have led to national prizes and awards. This distinguished lecture will review the research conducted by the speaker’s team as well as others in this modern and growing <a href="http://area.Bldg:" target="_blank" title="area.Bldg:">area.Bldg: ICT 424C, University of Calgary, Calgary, Alberta, Canada |
0 events,
|
1 event,
-
The (https://vancouver.ieee.ca) and the IEEE Future Directions Committee are organizing a series of presentations to address the widespread interest in clean energy sources, new nuclear reactor technologies, and the various related issues. This series of talks will cover aspects of nuclear energy and the disruptive new technology of Small Modular Reactors. These presentations will be of interest both to engineers who are not nuclear specialists, and to the general public who are interested in learning about the <a href="http://technology.TOPIC:Integration" target="_blank" title="technology.TOPIC:Integration">technology.TOPIC:Integration of SMRs in Renewable Energy MicrogridsDATE: July 30, 2025LOCATION: OnlinePRESENTER: Dr. Dennis MichaelsonDr. Dennis Michaelson will explore the application of Small Modular Reacrors (SMRs) in remote community power systems and off-grid industrial facilities. In some of these applications, a small SMR or micro-modular reactor would be combined with renewable power sources, energy storage, and loads to form a microgrid. In this talk we will explore potential configurations and operating scenarios for such systems, and discuss the considerations and trade-offs involved in their <a href="http://design.This" target="_blank" title="design.This">design.This presentation is free. IEEE members and the general public are welcome to attend. Registration is <a href="http://required.This" target="_blank" title="required.This">required.This presentation series is organized by:- (<a href="https://ieee-sustech.org/2023/ieees-sustech-initiative/)-" target="_blank" title="https://ieee-sustech.org/2023/ieees-sustech-initiative/)-">https://ieee-sustech.org/2023/ieees-sustech-initiative/)- (<a href="https://vancouver.ieee.ca/physics)This" target="_blank" title="https://vancouver.ieee.ca/physics)This">https://vancouver.ieee.ca/physics)This presentation series is supported by:- (<a href="https://ieee-npss.org/)-" target="_blank" title="https://ieee-npss.org/)-">https://ieee-npss.org/)- (<a href="https://ieee-npss.org/)Co-sponsored" target="_blank" title="https://ieee-npss.org/)Co-sponsored">https://ieee-npss.org/)Co-sponsored by: IEEE Future Directions Committee, IEEE SusTech InitiativeSpeaker(s): Dr. Dennis MichaelsonAgenda: The presentation will start at 9:00 AM Pacific Time (12:00 EDT, 16:00 UTC).09:00 Welcome and Speaker Introduction09:10 Presentation09:50 Questions and Answers10:00 Presentation endsNOTE If you have registered, you should receive the Zoom URL in a separate email, shortly before the presentation time. Please check your email spam <a href="http://folder.NOTE" target="_blank" title="folder.NOTE">folder.NOTE Please be sure to leave sufficient time to set up your web browser and / or remote meeting client prior to the start <a href="http://time.Virtual:" target="_blank" title="time.Virtual:">time.Virtual: https://events.vtools.ieee.org/m/488978 |
0 events,
|
0 events,
|
0 events,
|
0 events,
|