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Inscrivez-vous : https://etsmtl.libcal.com/event/3754289 SARA : 7th Montréal Photonics Networking Event - Groupe de feedback | Feedback group En personne / En ligne Cet atelier comodal et bilingue est ouvert uniquement aux participants présentant au 7th Montréal Photonics Networking Event Si vous souhaitez obtenir des commentaires pendant la préparation de votre présentation, participez à une séance de soutien par les pairs (groupe de feedback). Une séance commencera par une petite présentation du SARA avec des conseils sur les présentations orales / les affiches scientifiques. Ensuite, nous vous donnerons l'occasion de pratiquer votre présentation et recevoir les commentaires de vos pairs. Si vous n'avez pas terminé votre présentation, ne vous inquiétez pas! Venez simplement avec un brouillon de ce que vous voulez dire, et obtenez des commentaires sur ce que vous avez l'intention de présenter. Au plaisir de vous rencontrer et d'entendre parler de votre travail! Pour présenter au 7th Montréal Photonics Networking Event, soumettez votre résumé ici: https://forms.gle/egebsBF6Bm5ktwvw7 Il y aura de la nourriture, du café et du thé gratuits! ---- This hybrid and bilngual workshop is only open to particpants presenting at the 7th Montréal Photonics Networking Event If you would like some feedback while preparing for your presentation, come to our peer-support session (feedback group). A session will begin with a small presentation by SARA with tips on scientific oral presentations / posters. Then we will give you a chance to try out your presentation with feedback from your peers. If you haven't finished your presentation - don't worry! Just come with a draft of what you want to say, and get some feedback on what you intend to present. Looking forward to meeting you and hearing about your work! To present at the 7th Montréal Photonics Networking Event, submit your abstract here: https://forms.gle/egebsBF6Bm5ktwvw7 There will be free food, coffee, and tea! Co-sponsored by: ETS Library Speaker(s): Prasun Lala, Room: A-0232 , Bldg: Pavillion A, ETS, Espace des cycles supérieurs: Section discussion , Montréal, Quebec, Canada, Virtual: https://events.vtools.ieee.org/m/375458

Speaker: Dr. Gord Lovegrove, Associate Professor | Faculty of Applied Science | School of Engineering The University of British Columbia | Okanagan Campus Registration is optional, but we want to know who to expect. 10:00 AM P.D.T. You can log in at 9:45 AM (12:45 PM Montreal) to check connection and say hello.All IEEE members are welcome, especially those Life Members that don't have a local Affinity Group. We are looking for speakers for the rest of the year, contact Carl Zanon if interested. Speaker(s): Dr. Gord Lovegrove Agenda: 9:45 AM Zoom opens 10:00 AM Welcome and speaker introduction 10:05 AM Speaker Virtual: https://events.vtools.ieee.org/m/379263

The Montreal Chapter of the IEEE Signal Processing Society, in collaboration with STARaCom, cordially invites you to attend the following talk to be given (in presence) at McGill University by Prof. Yunlong Cai, from Zhejiang University (Hangzhou, China). Speaker(s): Prof. Yunlong Cai Room: 603, Bldg: McConnell Engineering, 3480 University, Montreal, Quebec, Canada, H3A 0E9

The typical hardware platform for neural networks operates based on clocked computation and consists of advanced parallel graphics processing units (GPU) and/or application specific integrated circuits (ASIC), which are reconfigurable, multi-purpose and robust. However, for such platforms the input data often needs to be converted to electrical domain, digitized, and stored. Furthermore, a clocked computation system typically has a high power consumption, suffers from a limited speed, and requires a large data storage device. To address the ever-increasing demand for more sophisticated and complex AI based systems, deeper neural networks with a large number of layers and neurons are required, which result in even higher power consumption and longer computation time. Photonic deep networks could address some of these challenges by utilizing the large bandwidth available around the optical carrier and low propagation loss of CMOS-compatible photonic devices and blocks. In this talk, a low-cost integrated highly-scalable photonic architecture for implementation of deep neural networks for image/video/signal classification is presented, where the input images are taken using an array of pixels and directly processed in the optical domain. The implemented system performs computation by propagation and, as such, is several orders-of-magnitude faster than state-of-the-art clocked based systems and operates at a significantly lower power consumption. This system, which is scalable to a network with a large number of layers, performs in-domain processing (i.e. processing in the optical domain) and as a result, opto-electronic conversion, analog-to-digital conversion, and requirement for a large memory module are eliminated. Co-sponsored by: Glenn Cowan Speaker(s): Dr. Firooz Aflatouni Room: 1.162, Bldg: EV, 1515 Saint-Catherine St W, Montreal, Quebec, Canada, H3G 1S6

⚠️You must also register on https://ieeextreme.org/ Il est obligatoire de s'inscrire également sur https://ieeextreme.org/⚠️ Important Information Registering for this event simply secures a space for you at our physical competition space here in Montreal where you will be provided with food and a comfortable environment in which you can program and meet the other participants. You must also register at the above link for the actual competition by October 23, without which you cannot officially participate in the global IEEE Xtreme Challenge. Event Description IEEEXtreme is IEEE’s premier programming competition, bringing thousands of students from around the world together into a 24-hour event. Open to all undergraduate and graduate college students with an active IEEE student membership. The competition is hosted virtually and simultaneously around the world. Competitors are required to be proctored by a local IEEE professional member and are often supported by a local IEEE Student Branch. IEEEXtreme est le premier concours de programmation de l'IEEE, réunissant des milliers d'étudiants du monde entier lors d'un événement de 24 heures. Ouvert à tous les étudiants du premier cycle et des cycles supérieurs possédant une adhésion étudiante active à l’IEEE. Le concours est organisé virtuellement et simultanément dans le monde entier. Les concurrents doivent être surveillés par un membre professionnel local de l'IEEE et sont souvent soutenus par une branche étudiante locale de l'IEEE. Bldg: INRS-EMT, 800 Rue De la Gauchetière O, Montréal, Quebec, Canada

IEEE Montreal Consumer Technology Society Chapter and IEEE Montreal Industry Relations Committee are very pleased to invite you to attend a talk about "Quantum Radars" by Dr. David Luong from Carleton University, Canada, on October 30th, 2023, 12:00 PM - 01:00 PM. The talk is virtual and the zoom link is provided below. Speaker(s): , Dr. David Luong Virtual: https://events.vtools.ieee.org/m/380898

In this talk, we present some basic background on quantum computing, some quantum computing algorithms as well as some practical applications. Co-sponsored by: Terry Branch Speaker(s): Reza Soleymani Agenda: Please note that after the talk we will have a supper on Crescent Street. We will make announcement later. Room: EV002.184, Bldg: Concordia University, 1515 Ste. Catherine West, Corner with Guy Street - Metro Guy & Concordia, Montreal, Quebec, Canada

Abstract: Aging electrical wiring has been identified as an area of critical national and international concern. Faults in aircraft wiring have been implicated in a number of severe aircraft incidents including the TWA800 and SwissAir111 crashes. Electrical wiring is the number one cause of home and building fires, and is responsible for numerous incidents in consumer product safety, photovoltaic systems, vehicular safety/reliability, safety of nuclear facilities, reliability of power distribution systems and communication systems, and others. What could possibly be so hard about finding these electrical faults? This lecture describes the real-world challenges in electrical systems – live signals, switching systems, grounding and moisture, vibration, and more. We’ll talk about how electromagnetics, signal processing, artificial intelligence, chip and hardware design all merge to create new sensors that can detect and locate faults in critical systems. In particular, I’ll describe the development and use of spread spectrum time domain reflectometry (SSTDR) for finding faults on live electrical systems. Using a tiny pseudo-noise (PN) code similar to your cell phone or GPS signal, SSTDR hides within the noise margin of existing signals, enabling continuous monitoring and location of very hard-to-find intermittent faults. And along with SSTDR came a very broad family of broadband reflectometry systems and algorithms for analysis of the reflection signatures, which we’ll discuss. And what is coming next? It turns out that the same reflectometry methods used to detect, locate, and diagnose faults can also measure complex impedance, which is what a vector network analyzer (VNA) is very good at. But spread spectrum can do it live (energized), in electrically noisy environments, and can control the signal to noise ratio to find very small changes in impedance. Along with the technical journey, I’ll also describe my entrepreneurship journey as we took this exciting research off the bench and into the real world. Today SSTDR is used in aircraft manufacturing, handheld electrical testing, undersea cable testing, and has recently been approved for installation on Network Rail systems (UK). But our work is not done. Electrical systems are complex and varied, and some very gnarly problems remain. I’ll share a vision for the future, and some ideas about what it will take to get there. Speaker(s): Dr. Cynthia M. Furse, Virtual: https://events.vtools.ieee.org/m/379068

This workshop will enable you to feel confident in asking for the compensation you deserve. We cover everything from how to navigate asking your manager for more money, to what you should be looking for before signing a new employment contract. We leave time for group discussion and Q&A to ensure all your questions are answered. This workshop is led by Jillian Climie, who has spent her career in executive compensation, and Sophie Warwick, who specializes in developing in-house gender equity policies and chairing Employee Resource Groups. Speaker(s): Jillian Climie, Sophie Warwick Agenda: Key takeaways: - What compensation & benefits are appropriate to push on (beyond salary). - How compensation decisions are made within employers. - What you should and shouldn’t use as a rationale for a pay increase. - The biases women face in negotiations, and how to work around them. - When you should be bringing up compensation, and how to frame the ask. Virtual: https://events.vtools.ieee.org/m/381008

The Montreal Chapters of the IEEE Control Systems (CS) and Systems, Man & Cybernetics (SMC) cordially invite you to attend the following in-person talk, to be given by Dr. Mae Seto, Professor at the Faculty of Engineering and the Faculty of Computer Science, Dalhousie University. Co-sponsored by: Concordia University Speaker(s): Dr. Mae Seto Room: EV002.309, Bldg: EV Building, Concordia University , Montreal, Quebec, Canada, H3G 1M8