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(The English version will follow) Bienvenue à « Photonique en français », un atelier de langue pour les étudiants et les professionnels pour pratiquer la conversation en français technique, de réseautage et social. Prérequis Niveau de français minimal: complété niveau 2 sur l’échelle québécoise, ou équivalent, à l’oral. Ces classes bénéficieront aux étudiants à partir des niveau 3-4 sur l’échelle québécoise, et serviront de renforcement pour la pratique et compréhension orale pour les étudiant.e.s aux niveaux 5 à 8 voulant parfaire leur conversations professionnelles et techniques en photonique. Pour plus d’information sur les niveaux de français, veuillez-vous référer a cette description des niveaux : (https://centre-pauline-julien.cssdm.gouv.qc.ca/files/Site-web-CPJ-description-niveaux.pdf ) Objectifs du programme pour l’étudiant Pratiquer la description avec des moyens simples (1) sa formation, (2) son environnement immédiat Développer un lexique de 20 à 30 termes de vocabulaire technique et professionnelles sur des sujets touchant à la photonique Évoquer des sujets techniques et professionnelles dans le cadre de défis encadrés sur différentes thématiques de recherche Rapprocher étudiants de recherche en apprentissage du français ___________________________________ Welcome to "Photonics in French", a language workshop for students and professionals to practice conversation in technical, networking and social French. Prerequisites Minimum level of French: completed level 2 on the Quebec scale, or equivalent, in oral. These classes will benefit students from level 3-4 on the Quebec scale, and will serve as reinforcement for practice and oral comprehension for students at levels 5 to 8 who want to perfect their professional and technical conversations in photonics. For more information on the French levels, please refer to this level description: (https://centre-pauline-julien.cssdm.gouv.qc.ca/files/Site-web-CPJ-description-niveaux.pdf ) Program objectives for the student Practice describing in simple ways (1) one's background, (2) one's immediate environment Develop a lexicon of 20 to 30 technical and professional vocabulary terms on topics related to photonics Discuss technical and professional topics in the context of supervised challenges on different research themes Bring research students closer to learning French Speaker(s): Dr. Lawrence Chen, Agenda: 13:00-13:30: Welcome & refreshments / Accueil et rafraichissements 13:30-14:30: Workshop & presentation / Atelier et présentation Introductions : 5 minutes Tables-rondes #1: Brise-glace / ice-breaker: 15 minutes Présentation et discussion technique : 15 minutes Tables-rondes #2: les défis photoniques en français :20 minutes Fin de la séance : 5 minutes Room: Mc603, Bldg: McConnell Engineering Building, Room MC603, 3480 Rue University , Montréal, Quebec, Canada, H3A 0E9

(The English version will follow) Bienvenue à « Photonique en français », un atelier de langue pour les étudiants et les professionnels pour pratiquer la conversation en français technique, de réseautage et social. Prérequis Niveau de français minimal: complété niveau 2 sur l’échelle québécoise, ou équivalent, à l’oral. Ces classes bénéficieront aux étudiants à partir des niveau 3-4 sur l’échelle québécoise, et serviront de renforcement pour la pratique et compréhension orale pour les étudiant.e.s aux niveaux 5 à 8 voulant parfaire leur conversations professionnelles et techniques en photonique. Pour plus d’information sur les niveaux de français, veuillez-vous référer a cette description des niveaux : (https://centre-pauline-julien.cssdm.gouv.qc.ca/files/Site-web-CPJ-description-niveaux.pdf ) Objectifs du programme pour l’étudiant Pratiquer la description avec des moyens simples (1) sa formation, (2) son environnement immédiat Développer un lexique de 20 à 30 termes de vocabulaire technique et professionnelles sur des sujets touchant à la photonique Évoquer des sujets techniques et professionnelles dans le cadre de défis encadrés sur différentes thématiques de recherche Rapprocher étudiants de recherche en apprentissage du français ___________________________________ Welcome to "Photonics in French", a language workshop for students and professionals to practice conversation in technical, networking and social French. Prerequisites Minimum level of French: completed level 2 on the Quebec scale, or equivalent, in oral. These classes will benefit students from level 3-4 on the Quebec scale, and will serve as reinforcement for practice and oral comprehension for students at levels 5 to 8 who want to perfect their professional and technical conversations in photonics. For more information on the French levels, please refer to this level description: (https://centre-pauline-julien.cssdm.gouv.qc.ca/files/Site-web-CPJ-description-niveaux.pdf ) Program objectives for the student Practice describing in simple ways (1) one's background, (2) one's immediate environment Develop a lexicon of 20 to 30 technical and professional vocabulary terms on topics related to photonics Discuss technical and professional topics in the context of supervised challenges on different research themes Bring research students closer to learning French Speaker(s): Dr. Lawrence Chen, Agenda: 13:00-13:30: Welcome & refreshments / Accueil et rafraichissements 13:30-14:30: Workshop & presentation / Atelier et présentation Introductions : 5 minutes Tables-rondes #1: Brise-glace / ice-breaker: 15 minutes Présentation et discussion technique : 15 minutes Tables-rondes #2: les défis photoniques en français :20 minutes Fin de la séance : 5 minutes Room: Mc603, Bldg: McConnell Engineering Building, Room MC603, 3480 Rue University , Montréal, Quebec, Canada, H3A 0E9

Abstract: Due to the explosive growth of new users and new applications, it is expected that the wireless spectrum will need to be used in a dynamic fashion starting in the near future. This can be achieved by using the concept of cognitive radio, giving users access to the unused spectrum under dynamic spectrum access. It is generally accepted that conventional methods of cognitive radio will fall short of being able to handle the enormous demand for spectral resources, and therefore it is expected that techniques from artificial intelligence or machine learning will help provide dynamic control for spectrum sharing. The process of spectrum sharing begins with sensing the spectrum. Recently, a number of techniques for spectrum sensing employing machine learning have been introduced. In this talk, we employ a machine learning approach known as generative adversarial networks towards this purpose. This particular approach is known to be very successful for anomaly detection in image processing. We alter performance criteria used in this set of networks from image processing applications to wireless and employ such networks for spectrum sensing, both in conventional and cooperative spectrum sensing. Initial results show the efficacy of this approach. Speaker(s): Dr. Ender, Virtual: https://events.vtools.ieee.org/m/329642

The Montreal Chapter of the IEEE Signal Processing Society, in collaboration with STARaCom, cordially invites you to attend the following talks, as part of its series of Short Hybrid-Seminars on Selected Topics in Signal Processing. Now that restrictions imposed by Covid-19 have been relaxed, this event will take a hybrid form, with participants having the option to attend in person or virtually. Co-sponsored by: STARaCom Speaker(s): Hamed Hojatian, Minh Dat Nguyen Bldg: McConnell Engineering, 3480 University St., ECE Department, Room 603, Montreal, Quebec, Canada, H3A 0E9, Virtual: https://events.vtools.ieee.org/m/328482

Data communications between Earth and devices on spacecraft, such as satellites, have traditionally been carried out through dedicated links. Shared links using Internet Protocol-based communication offers a number of advantages over dedicated links. The movement of devices on spacecrafts however gives rise to mobility management issues. This talk will discuss various mobility management solutions for extending the Internet connection to devices on the spacecraft. The talk will provide an overview of the network layer based solution being developed by the Internet Engineering Task Force and compare it with the transport layer-based solution that has been developed at the University of Oklahoma in conjunction with the National Aeronautics and Space Administration. Network in motion is an extension of the host mobility protocols for managing the mobility of networks which are in motion, such as those in airplanes and trains. The application of networks in motion will be illustrated for terrestrial and space environments. Speaker(s): Mohammed Atiquzzaman, Ph.D, Virtual: https://events.vtools.ieee.org/m/328500

Abstract: Machine learning (ML) and AI will play a key role in the development of 6G networks. Network virtualization and network softwarization solutions in 5G networks can support data-driven intelligent and automated networks to some extent and this trend will grow in 5G-advanced networks. Radio access network algorithms and radio resource management functions can exploit network intelligence to fine tune network parameters to reach close-to-optimal performance in 5G networks. In 6G networks, network intelligence is envisioned to be end-to-end, and air interface is envisioned to be AI-native. The user equipment (UE) devices need to be smarter, environment and context aware, and capable of running ML algorithms. This talk will focus on the main practical challenges in developing machine learning solutions in 5G use cases and emphasize with a case study how deployment of these solutions is much harder in a live network as compared to theoretical performance evaluation. Further, a vision for paradigm shift from AI-as-an-enabler to AI-Native air-interface will be provided for 6G networks. Speaker(s): Dr. Majid, Virtual: https://events.vtools.ieee.org/m/329644

Deep Learning for the Physical Layer with Sionna By: Dr. Sebastian Cammerer ZOOM LINK INFORMATION https://uqtr.zoom.us/j/82531800033?pwd=QmxCZHorRzlieUxyUHhsY1dQTHdaQT09 ID de réunion : 825 3180 0033 Mot de passe : 550807 Abstract Machine learning for wireless communications has become an omnipresent tool in wireless communications research and it is foreseeable that it will play an increasingly important role in the future evolution of 5G as well as the development of 6G. This trend is supported by the recent 3GPP announcement to promote AI/ML as a new study item for the upcoming Release 18. To support these efforts, we present Sionna, a new open-source software library for GPU-accelerated link-level simulations and 6G research. Sionna enables rapid prototyping of complex communication system architectures and provides native support for the integration of neural networks. In the second part of the talk, we demonstrate AI/ML use-cases for the PHY layer and showcase the benefits of a data-driven system design which does not need to rely on any prior mathematical modelling and analysis of the channel. Biography Dr. Sebastian Cammerer is a Research Scientist at NVIDIA. Before joining NVIDIA, he received his PhD in electrical engineering and information technology from the University of Stuttgart, Germany, in 2021. He is one of the maintainers and core developers of the Sionna open-source link-level simulator. His main research topics are machine learning for wireless communications and channel coding. Further research interests include modulation, parallel computing for signal processing, and information theory. He is recipient of the VDE ITG Dissertationsaward 2022, the IEEE SPS Young Author Best Paper Award 2019, the Best Paper Award of the University of Stuttgart 2018, the Anton- und Klara Röser Preis 2016, the Rohde&Schwarz Best Bachelor Award 2015, and third prize winner of the Nokia Bell Labs Prize 2019 Virtual: https://events.vtools.ieee.org/m/328923

Join us for a session with Dr. Mostafa Farrokhabadi, Assistant Professor at the University of Calgary and part-time VP of Tech. at BluWave-ai. He received the Ph.D. degree from the University of Waterloo in 2017. He has held other engineering positions with Hatch and Canadian Solar, and adjunct and postdoctoral positions with the University of Waterloo. He is a Senior Member of the IEEE, a distinguished Associate Editor of the IEEE Transactions on Smart Grid, and an Associate Editor of the IEEE DataPort. His research focuses on the universal transition to sustainable power and energy systems. Date: Friday November 18, 12:00-13:00 EST Speaker: Mostafa Farrokhabadi, Ph.D., SMIEEE, EIT Assistant Professor, University of Calgary VP of Technology, BluWave-ai Speaker(s): Dr. Mostafa Farrokhabadi, Virtual: https://events.vtools.ieee.org/m/331846

Speaker Lorne Keyes 9:00 AM P.D.T. You can log in at 8:45 AM (12:45 Halifax) to check connection and say hello.All IEEE members are welcome, especially those Life Members that don't have a local Affinity Group. Speaker(s): Lorne Keyes, Virtual: https://events.vtools.ieee.org/m/331008

Speaker Lorne Keyes 9:00 AM P.D.T. You can log in at 8:45 AM (12:45 Halifax) to check connection and say hello.All IEEE members are welcome, especially those Life Members that don't have a local Affinity Group. Speaker(s): Lorne Keyes, Virtual: https://events.vtools.ieee.org/m/328490