Events
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- Tellurene electronics and beyondpar / by Wenzhuo Wu, Edwardson School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USAQuand / When : 30 mars 2026 à 10h00 / March 30, 2026, at 10:00amLieu / Location : École de technologie supérieure, Pavillon A, salle A-1302 /Building A, Room A-1302 (1100, rue Notre-Dame Ouest, Montréal)(<a href="https://resmiq.org/evenements/seminaires-et-cours-intensifs/telllurene-electronics-and-beyond/)Ce" target="_blank" title="https://resmiq.org/evenements/seminaires-et-cours-intensifs/telllurene-electronics-and-beyond/)Ce">https://resmiq.org/evenements/seminaires-et-cours-intensifs/telllurene-electronics-and-beyond/)Ce séminaire sera accessible via zoom pour les participants de l'Université Laval, de l'Université du Québec en Outaouais (UQO),de l'Université du Québec à Trois-Rivières (UQTR), de l'Université de Sherbrooke, et de l'Université du Québec à Chicoutimi (UQAC).L'information pour se connecter sera envoyé 24h avant l'activité.This seminar will be accessible via zoom for the attendees from Université Laval, Université du Québec en Outaouais (UQO),Université du Québec à Trois-Rivières (UQTR), Université de Sherbrooke, and Université du Québec à Chicoutimi (UQAC).The connection details will be provided 24 hours prior to the <a href="http://seminar.(<a href="https://resmiq.org/formulaires/inscription-pour-seminaires/)Co-sponsored" target="_blank" title="https://resmiq.org/formulaires/inscription-pour-seminaires/)Co-sponsored">https://resmiq.org/formulaires/inscription-pour-seminaires/)Co-sponsored by: ReSMiQ / IEEE Nanotechnology council (NTC)Speaker(s): Wenzhuo Wu, Virtual: https://events.vtools.ieee.org/m/549800
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An event aimed towards second year students to help inform them about the career paths of the various specialities within Electrical Engineering. Our goal is to help direct and inform students as they decide what focus to specialize in (Power, DSP, Sensors/Circuits, Robotics) based on the insight from professional engineers in these related <a href="http://fields.As" target="_blank" title="fields.As">fields.As a student you don’t really know what jobs exist with the various streams in Electrical Engineering. You don’t know what the career options look like, nor do you know what the day to day is like. To help build upon what the different streams look like and what you can actually do with each stream we want to host an event to provide insight into what skills you actually again from the different streams, and hear from industry representatives about the work that they do, and how their schooling impacted or could have benefited them to end up in the career they do <a href="http://today.Agenda:6:30" target="_blank" title="today.Agenda:6:30">today.Agenda:6:30 - 7:00 Cocktails & Appetizers7:00 - 8:00 Industry Presentations & Closing Panel8:00 - 9:30 Networking and ClosingAttire: Casual / Business CasualRoom: (Upstairs), Bldg: Louis Loft, 93 Campus Dr, Saskatoon, Saskatchewan, Canada, S7N 0W6 |
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These are two NVIDIA workshops and attendees who have registered must attend both sessions, on March 31st and April 7<a href="http://th.Fundamentals" target="_blank" title="th.Fundamentals">th.Fundamentals of Deep Learning is a hands-on workshop designed by NVIDIA that introduces how businesses use AI, particularly deep learning, to solve real-world challenges across industries such as healthcare, retail, and automotive. Participants learn the fundamentals of training deep learning models, including techniques such as data augmentation and transfer learning. Through practical exercises and a final project, students build models from scratch and leverage pre-trained models, with all hands-on modules running on NVIDIA-hosted cloud resources. Those who complete the project and assessments receive an NVIDIA certificate. Space is limited to 40 <a href="http://participants.More" target="_blank" title="participants.More">participants.More information: <a href="https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/Co-sponsored" target="_blank" title="https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/Co-sponsored">https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/Co-sponsored by: Faculty of Science and Technology, Humber Polytechnic / NVIDIASpeaker(s): Dr. Ernest Namdar, Ernest NamdarAgenda: Learning ObjectivesBy participating in this workshop, you’ll:- Learn the fundamental techniques and tools required to train a deep learning model- Gain experience with common deep learning data types and model architectures- Enhance datasets through data augmentation to improve model accuracy- Leverage transfer learning between models to achieve efficient results with less data and computation- Build confidence to take on your own project with a modern deep learning framework<a href="https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdfRoom:" target="_blank" title="https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdfRoom:">https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdfRoom: J134-NORTH BUILDING, 205 Humber College Blvd, 1502, Toronto, Ontario, Canada, M9W 5L7
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This work presents a 28nm deeply power-scalable reconfigurable series-resonance/Class-F VCO with mutual-inductance self-cancellation and hybrid 8-shaped coupling techniques, achieving power scalability from 5.7 to 93.1mW. By switching between parallel-resonance (Class-F) and series-resonance modes, the VCO achieves −149dBc/Hz PN and 192.8dBc/Hz FoM at a 10MHz offset. This design enables flexible PN–power scalability for Wi-Fi 7, IoT, and wearable <a href="http://devices.Agenda:" target="_blank" title="devices.Agenda:">devices.Agenda: ISSCC 2026 paper 12.8Room: 415, Bldg: ICT, University of Calgary, Calgary, Alberta, Canada |
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Ontario Power Generation’s Darlington New Nuclear Project (DNNP) is at the forefront of deploying Small Modular Reactor (SMR) technology in Canada, anchored by the GE Vernova Hitachi BWRX-300. As North America’s first commercial, grid-scale SMR, DNNP plans up to four units totaling 1,200 MW. The project introduces advanced safety features, including natural circulation cooling, integral isolation valves, and passive heat removal, while supporting thousands of jobs and boosting Ontario’s economy. A collaboration between OPG, GE Vernova Hitachi, AtkinsRéalis, and Aecon-Kiewit, DNNP strengthens Ontario’s clean energy leadership and sets a model for SMR deployment globally. With construction underway, DNNP will help meet rising electricity demand, advance electrification, and deliver reliable, carbon-free power, showcasing nuclear innovation’s vital role in climate action and economic <a href="http://growth.A" target="_blank" title="growth.A">growth.A live Q&A with registered attendees will follow the presentation. Please visit our website at bit.ly/nuclear_series2 for additional details. Recorded webinars will be posted there shortly thereafter for free on-demand <a href="http://viewing.Speaker(s):" target="_blank" title="viewing.Speaker(s):">viewing.Speaker(s): Michael Takla, Event Moderator:Maike LuikenVirtual: https://events.vtools.ieee.org/m/548510
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Event DescriptionThe IEEE Young Professionals Victoria Section Affinity Group is pleased to organize the F1TENTH Autonomous Racing Challenge, a hands-on technical competition focusing on robotics, autonomous systems, and intelligent transportation <a href="http://technologies.The" target="_blank" title="technologies.The">technologies.The event will take place on April 1st, 2026 (afternoon) at the ELW Building Lobby (First Floor), University of <a href="http://Victoria.Following" target="_blank" title="Victoria.Following">Victoria.Following the recommendation of the IEEE Victoria Section leadership, this activity is being organized as a joint event in collaboration with multiple IEEE organizational units, including the IEEE Women in Engineering (WIE) Victoria Section Affinity Group, the IEEE UVic Student Branch, and the IEEE VTS/ComSoc Victoria Section Joint <a href="http://Chapter.Participants" target="_blank" title="Chapter.Participants">Chapter.Participants will engage in an autonomous racing challenge using the F1TENTH platform and demonstrate solutions related to perception, localization, planning, and control. The event will also feature technical discussions and networking opportunities to foster collaboration among students, researchers, and young professionals in the local engineering <a href="http://community.Objectives-Promote" target="_blank" title="community.Objectives-Promote">community.Objectives-Promote experiential learning in robotics and intelligent transportation systems-Strengthen collaboration across IEEE affinity groups and technical chapters-Support student-to-young-professional engagement-Increase participation in IEEE technical and volunteer activitiesTarget AudienceUndergraduate and graduate students, postdoctoral researchers, young professionals, and IEEE members interested in robotics, artificial intelligence, and vehicular <a href="http://technologies.---------------------------------------------------------------AcknowledgementSponsored" target="_blank" title="technologies.---------------------------------------------------------------AcknowledgementSponsored">technologies.---------------------------------------------------------------AcknowledgementSponsored by IEEE Young Professionals and the IEEE <a href="http://Foundation.Competition" target="_blank" title="Foundation.Competition">Foundation.Competition awards are additionally supported by the IEEE Victoria <a href="http://Section.Co-sponsored" target="_blank" title="Section.Co-sponsored">Section.Co-sponsored by: IEEE Young Professionals and the IEEE FoundationRoom: Lobby (First Floor), Bldg: Engineering Lab Wing, 3800 Finnerty Rd, Victoria, British Columbia, Canada, V8P 5C2
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Provides an opportunity for members and executives to reflect on the activities and accomplishments of the 2025/2026 school year. During this session, the student branch will review key events, initiatives, and milestones while recognizing the contributions of members who supported the branch’s <a href="http://success.The" target="_blank" title="success.The">success.The meeting will also include discussions on upcoming opportunities, future events, and strategic goals for 2026/2027. Members are encouraged to share feedback, ideas, and suggestions to help strengthen the branch’s engagement and impact within the college and the broader engineering and technology <a href="http://community.1001" target="_blank" title="community.1001">community.1001 Fanshawe College Blvd, London, Ontario, Canada, N5Y 5R6 |
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Please note that we've reached the maximum number of registrations, and the registration is closed. If you like such kind of events, we can arrange follow ups in the future. Thank you for your interest!Join us to explore the world of Pre-Silicon ASIC Validation (also known as Functional or Design Verification), which plays a pivotal role in delivering functional silicon at IP and SoC levels—powering the experiences, products, and services we rely on <a href="http://today.You" target="_blank" title="today.You">today.You will gain insight into the goals and challenges of validation, potential career paths, and the opportunities for innovation in this field. As yesterday’s SoCs—complete with digital, analog, CPU subsystems, and software—evolve into today’s IP blocks, you’ll learn how validation methodologies and tools have scaled to meet these massive technical <a href="http://hurdles.Beyond" target="_blank" title="hurdles.Beyond">hurdles.Beyond high-level strategy, you’ll walk away with a functional understanding of a UVM (Universal Verification Methodology) environment—the industry mainstay for simulation—and the tool automation used to navigate vast validation spaces. A brief demonstration will showcase how constrained-random techniques generate stimulus to exercise a design, exposing bugs that engineers often never imagined <a href="http://existed.Audience" target="_blank" title="existed.Audience">existed.Audience questions and interaction during and after the talk are enthusiastically encouraged!Room: 460, Bldg: ENG, 245 Church Street, Toronto, Ontario, Canada, M5B 2K3
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The IEEE Ontario Tech University (OTU) Student Branch is proud to host our exclusive Electrical Engineering Networking Night. This premier event is designed to bridge the gap between our innovative student body and leading industry professionals. We warmly invite engineering managers, technical recruiters, and industry leaders to connect with OTU's brightest upcoming electrical engineers. The evening offers a dynamic platform to share industry insights, discuss emerging technological trends, and discover top-tier talent for future co-op, internship, and full-time <a href="http://opportunities.Ontario" target="_blank" title="opportunities.Ontario">opportunities.Ontario Tech University, Oshawa, Ontario, Canada |
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These are two NVIDIA workshops and attendees who have registered must attend both sessions, on March 31st and April 7<a href="http://th.Fundamentals" target="_blank" title="th.Fundamentals">th.Fundamentals of Deep Learning is a hands-on workshop designed by NVIDIA that introduces how businesses use AI, particularly deep learning, to solve real-world challenges across industries such as healthcare, retail, and automotive. Participants learn the fundamentals of training deep learning models, including techniques such as data augmentation and transfer learning. Through practical exercises and a final project, students build models from scratch and leverage pre-trained models, with all hands-on modules running on NVIDIA-hosted cloud resources. Those who complete the project and assessments receive an NVIDIA certificate. Space is limited to 40 <a href="http://participants.More" target="_blank" title="participants.More">participants.More information: <a href="https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/Co-sponsored" target="_blank" title="https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/Co-sponsored">https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/Co-sponsored by: Faculty of Science and Technology, Humber Polytechnic / NVIDIASpeaker(s): Dr. Ernest Namdar, Ernest NamdarAgenda: Learning ObjectivesBy participating in this workshop, you’ll:- Learn the fundamental techniques and tools required to train a deep learning model- Gain experience with common deep learning data types and model architectures- Enhance datasets through data augmentation to improve model accuracy- Leverage transfer learning between models to achieve efficient results with less data and computation- Build confidence to take on your own project with a modern deep learning framework<a href="https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdfRoom:" target="_blank" title="https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdfRoom:">https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdfRoom: J134-NORTH BUILDING, 205 Humber College Blvd, 1502, Toronto, Ontario, Canada, M9W 5L7
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Fanshawe College students have the opportunity to attend a guided tour of Leggett & Platt, a global leader in engineered components and products that serve a wide range of industries, including bedding, furniture, automotive, and aerospace. The tour will provide students with insight into advanced manufacturing processes, innovative product development, and career opportunities within a multinational organization. Please note that students are responsible for arranging their own transportation to and from the Leggett & Platt facility, located at 459 Industrial Rd, London, ON N5V 3<a href="http://E5.Leggett" target="_blank" title="E5.Leggett">E5.Leggett & Platt has confirmed that they're seeking Fanshawe College students to fill co-op positions this upcoming <a href="http://term.IF" target="_blank" title="term.IF">term.IF YOU REGISTER FOR THIS EVENT AND CAN NO LONGER ATTEND, PLEASE UNREGISTER SO OTHER STUDENTS HAVE THE OPPORTUNITY TO <a href="http://PARTICIPATE.PPE" target="_blank" title="PARTICIPATE.PPE">PARTICIPATE.PPE REQUIRED: SAFETY GLASSES & SAFETY SHOESCo-sponsored by: Leggett & Platt459 Industrial Rd, London, Ontario, Canada, N5V 3E5
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IEEE North Saskatchewan Section Meeting - April, 202657 Campus Dr, Saskatoon, Saskatchewan, Canada, S7N 5A9, Virtual: https://events.vtools.ieee.org/m/544433 |
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In a world of rapid technical transformation, the need for Engineers to lead innovation not only as professionals, but <a href="http://entrepreneurs.How" target="_blank" title="entrepreneurs.How">entrepreneurs.How do you transform your idea into a product ?How do you find a market space for your product and unlock a blue ocean ?How can an Engineer become an Entrepreneur and transform the world ?How does the “Startup World Cup” fit into the transformation of your business ?Join for a discussion to share ideas on how an Engineer can become an Entrepreneur and the success via Startup World Cup, with Daya Wimalasuriya, who pitched for a startup at the Startup World Cup 2025 held on 15-17 October 2025 at the Hilton Hotel ( Union Square ), San Francisco, California, USASpeaker(s): Daya Wimalasuriya, Virtual: https://events.vtools.ieee.org/m/544544
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Monthly Executive Team Meeting - IEEE Hamilton Section (Apr'2026)Agenda: 07:00PM - Meeting starts08:00PM - Meeting endsVirtual: https://events.vtools.ieee.org/m/547092 |
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Starlink and alike have attracted a lot of attention recently, however, the inner workings of these low-earth-orbit (LEO) satellite networks are still largely unknown. This talk presents an ongoing measurement campaign focusing on Starlink and OneWeb on roofs, vehicles, vessels and airplanes, including their satellite access networks, gateway and point-of-presence structures, and backbone and Internet connections, revealing insights applicable to other LEO satellite providers. It also highlights the challenges and research opportunities of the integrated space-air-ground-aqua network envisioned by 6G mobile communication systems and calls for a concerted community effort from practical and experimentation <a href="http://aspects.Speaker(s):" target="_blank" title="aspects.Speaker(s):">aspects.Speaker(s): Dr. Jianping PanRoom: EN-2022, Bldg: S. J. Carew Building, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada
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[]To address the issue of limited accessibility to expert skin screening by skin specialists and alleviate the strain on the public healthcare system due to unnecessary invasive procedures, such as biopsies, we propose the development of a low-cost and hand-held probe device to accurately identify skin cancer non-invasively. The proposed device will reduce the pressure on the overall public health care system whilst specifically aiding underserved rural communities by providing an easy-to-use alternative for accurate skin cancer <a href="http://screening.To" target="_blank" title="screening.To">screening.To design the hand-held probe, the dielectric characteristics of healthy, benign and malignant (cancerous) skin tissue have to be known. Previous literature has reported properties for healthy skin and several benign and malignant pathologies (squamous and basal cell carcinoma; two types of skin cancer), but the dielectric properties of melanoma (another type of skin cancer) have only been reported below 8.5 GHz. Initial tests that our collaboration conducted show promising results for a significant contrast in dielectric properties of healthy skin and melanoma that would support the effort to develop a skin cancer <a href="http://probe.The" target="_blank" title="probe.The">probe.The first resonator for the hand-held low-cost prototype was designed in a simulation software that is specialized to study interactions of electromagnetic waves and biological tissues, such as healthy and cancerous skin. In parallel, we developed a laboratory model that can mimic the properties of healthy and diseased skin tissues. The developed probe has been validated on the laboratory model of <a href="http://skin.The" target="_blank" title="skin.The">skin.The goal of this research is to provide an easy-to-use, hand-held, low-cost device to allow for skin cancer screening in GP clinics in cities and rural communities. The innovation will allow for early detection and increased patient outcomes while relieving pressure on the public health system, by raising the accuracy of correct identification of skin cancer of a GP to that of a highly specialised <a href="http://dermatologist.Speaker(s):" target="_blank" title="dermatologist.Speaker(s):">dermatologist.Speaker(s): Lena, ***CANCELED***Room: 321, Bldg: Duff Medical Building, 3775 Rue University, Montreal, Quebec, Canada, Virtual: https://events.vtools.ieee.org/m/543954
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IEEE SAS YP 2026 – Golf Social @ Launchpad Golf Heritage PointeKick off your week with some high-tech swings! Join us at Launchpad Golf - Heritage Pointe for an evening of networking, skill-building, and friendly competition. Whether you’re a scratch golfer or it’s your first time picking up a club, this social is designed for all skill <a href="http://levels.Event" target="_blank" title="levels.Event">levels.Event Details-Date: Monday, April 13th, 2026-Time: 6:00 PM – 8:00 PM-Location: Launchpad Golf (Heritage Pointe)-Cost: $10 (IEEE Members) | $15 (Non IEEE Members)What’s Included-2 Hours of Golf: Access to high-tech hitting bays from 6:00 PM to 8:00 <a href="http://PM.-Clubs:" target="_blank" title="PM.-Clubs:">PM.-Clubs: You are welcome to bring your own set, but Launchpad will also provide clubs on-site for those who need <a href="http://them.-Food" target="_blank" title="them.-Food">them.-Food & Beverage: A full menu is available for order directly at your hitting bay. Please note that no outside food or drink is permitted on the <a href="http://premises.Registration" target="_blank" title="premises.Registration">premises.Registration & CapacitySpots are limited! Due to bay capacity, we have a strict limit on attendees. Please register early to secure your <a href="http://spot.Note" target="_blank" title="spot.Note">spot.Note to Attendees: During registration, please indicate if you are attending with a specific group so we can do our best to group you in the same bay. If you require a specific club setup (e.g., left-handed), please let us know in advance![]31 Heritage Pointe Dr, Heritage Pointe, Calgary, Alberta, Canada, T1S 4H1 |
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Low-Earth orbiting (LEO) satellites are now providing broadband service to users around the world. But they face space congestion problems. Some satellites must steer around each other to avoid collisions. In addition, the LEO satellites must share radio spectrum with geosynchronous Earth-orbiting (GEO) satellites and, more interestingly, with each <a href="http://other.This" target="_blank" title="other.This">other.This presentation will touch on collision avoidance but will focus on beam steering and other ways that these satellites can efficiently share spectrum with each other. There are a variety of ways they can do this. Some require information sharing, but others do not. Our work at Carnegie Mellon is examining the effectiveness of various spectrum sharing <a href="http://methods.Co-sponsored" target="_blank" title="methods.Co-sponsored">methods.Co-sponsored by: Lin CaiRoom: 660, Bldg: ECS, University of Victoria, Victoria, British Columbia, Canada, V8P 5C2
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AI is getting more autonomous, and that's both exciting and challenging. What happens when AI systems start making decisions on their own? Who's accountable when things go wrong? And how so we manage the risks without slowing down innovation? If you've been wondering about these questions, this session is for <a href="http://you.As" target="_blank" title="you.As">you.As someone working in AI agents and product development, I've been diving deep into AI governance frameworks to understand what's actually required. In this session, we'll explore the key concepts from AI governance - what makes AI different from traditional software, the risk-based approaches organizations are using, and what's happening in the regulatory landscape with frameworks like the NIST AI RMF and the EU AI <a href="http://Act.This" target="_blank" title="Act.This">Act.This session is for anyone curious about AI governance, and seeking to understand how to build AI systems responsibly - as it explores how organizations can manage risk, accountability, and oversight in increasingly autonomous and agent-driven AI <a href="http://systems.Speaker(s):" target="_blank" title="systems.Speaker(s):">systems.Speaker(s): SnehAgenda: 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 |
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Frequency-Domain Cross-Layer Diversity Techniques - Efficient Ways of Coping with Lost Packets in Broadband Wireless SystemsThe design of broadband wireless communications presents considerable challenges. The propagation conditions can be very hostile (e.g., highly dispersive channels and/or deep fading or shadowing effects). This is especially true for systems operating in mm-wave conditions, where one must rely in LoS and/or reflected rays. Moreover, these systems are expected to have power and spectral efficiencies, together with high QoS requirements. There are also implementation complexity constraints, especially at the mobile <a href="http://terminals.Prefix-assisted" target="_blank" title="terminals.Prefix-assisted">terminals.Prefix-assisted block transmission techniques combined with frequency-domain detection are known to be suitable for high rate transmission over severely time-dispersive channels. The most popular modulations based on this concept are OFDM (Orthogonal Frequency-Division Multiplexing) and SC-FDE (Single-Carrier with Frequency-Domain Equalization). However, the severe propagation conditions in multiuser wireless systems make it likely that a non-negligible fraction of the transmitted packets will be lost, either due to deep fading/shadowing effects or due to collisions in the MAC (Medium Access Control) <a href="http://phase.The" target="_blank" title="phase.The">phase.The traditional approach to cope with lost packets is to drop them and ask for its retransmission. However, even packets with a large number of bit errors have useful information on the transmitted blocks that can be employed to improve the detection performance. To take advantage of this, we need to employ a cross-layer approach combining PHY, MAC and LLC layer aspects to cope with lost packets. In this talk we show how we can design powerful cross-layer network diversity techniques specially designed for broadband wireless systems employing block transmission techniques combined with frequency domain <a href="http://detection.Room:" target="_blank" title="detection.Room:">detection.Room: 430, Bldg: EOW, 3800 Finnerty Road, Room 110 Saunders Annex, Victoria, British Columbia, Canada, V8P5C2 |
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Abstract:Artificial intelligence and combinatorial optimization problems—such as drug discovery and prime factorization—remain challenging even for advanced computers. We are attempting to address these limitations by building photonic processors inspired by the brain—photonic neural networks—which utilize light for faster and more energy-efficient processing . We will discuss photonic networks, including Ising machines enabled by thin-film lithium niobate photonics , highlighting their applications in number partitioning, protein folding, wireless communications, and deep learning. Time permitting, we will briefly introduce a quantum photonic neural network that can learn to act as near-perfect components of quantum technologies and discuss the role of weak nonlinearities . Shastri, B.J. et al. Photonics for artificial intelligence and neuromorphic computing. Nature Photonics 15 (2021) Al-Kayed, N. et al. Programmable 200 GOPS Hopfield-inspired photonic Ising machine. Nature 648 (2025) Ewaniuk, J et al. Imperfect quantum photonic neural networks. Advanced Quantum Technologies (2023) .Co-sponsored by: Prof. Nicolas QuesadaSpeaker(s): Bhavin J. ShastriJ. Armand Bombardier J-1035, Polytechnique Montréal, Montréal, Quebec, Canada, H3T 1J4
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Zoom Link: <a href="https://ulaval.zoom.us/j/65778451409?pwd=B1j19PbbWPhyXWjxkTf9PjOfIekUCY.1Talk Abstract:Digital twins of the wireless environments offer new capabilities to the communication network design and operation. They could be utilized offline to build site-specific datasets for pre-training and evaluation machine learning models, or online to provide real-time or near real-time priors that aid the various communication system decisions on precoding, channel estimation, spectrum sharing, resource allocation, among many interesting applications. In this talk, I will present key aspects and considerations for modeling, building, calibrating, and utilizing these digital twins to maximize their gains while balancing constraints on cost, latency, and computational overhead. I will also introduce DeepVerse 6G, the world’s first large-scale digital-twin research platform, which provides high-fidelity multi-modal sensing and communication “true” digital twin datasets to accelerate research and development across a wide range of <a href="http://applications.Speaker" target="_blank" title="applications.Speaker">applications.Speaker Biography:Ahmed Alkhateeb received his B.S. and M.S. degrees in Electrical Engineering from Cairo University, Egypt, in 2008 and 2012, and his Ph.D. degree in Electrical and Computer Engineering from The University of Texas at Austin, USA, in 2016. After the Ph.D., he spent some time as a Wireless Communications Researcher at the Connectivity Lab, Facebook, before joining Arizona State University (ASU) in the Spring of 2018, where he is currently an Associate Professor in the School of Electrical, Computer, and Energy Engineering. His research interests are in the broad areas of wireless communications, signal processing, machine learning, and applied math. Dr. Alkhateeb is the recipient of the 2012 MCD Fellowship from The University of Texas at Austin, the 2016 IEEE Signal Processing Society Young Author Best Paper Award for his work on hybrid precoding and channel estimation in millimeter-wave communication systems, and the NSF CAREER Award 2021 to support his research on leveraging machine learning for large-scale MIMO <a href="http://systems.Meeting" target="_blank" title="systems.Meeting">systems.Meeting Link: https://ulaval.zoom.us/j/65778451409?pwd=B1j19PbbWPhyXWjxkTf9PjOfIekUCY.1, Québec City, Quebec, Canada, G1X 4C5 |
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