Join us for the seventh session of the exciting webinar series on "New Frontiers in Signal Processing in 6G Wireless Networks", a collaboration between IEEE Signal Processing, IEEE Communications Society chapters in Ottawa, and IEEE ComSoC Young <a href="http://Professionals.Register" target="_blank" title="Professionals.Register">Professionals.Register now and stay tuned for updates on upcoming speakers and topics!Speaker(s): Prof. Burak Kantarci Agenda: The move from 5G to 6G will transform wireless systems into intelligent and resilient communication networks. This presentation will highlight how machine learning and artificial intelligence can enhance the reliability, adaptability, and security of 6G communications. Recent advances in RF-level security, deep ensemble learning, and jamming detection will be discussed, showing how AI models can detect hidden patterns in the spectrum and protect mission-critical applications such as connected vehicles, smart cities, and industrial IoT. The talk will also cover emerging directions including generative models, federated learning, and multi-agent reinforcement learning, which support robust and distributed communication systems. By embedding intelligence at the network edge, 6G can evolve into context-aware, low-latency, and self-optimizing systems that are capable of learning, reasoning, and defending against threats in real <a href="http://time.Virtual:" target="_blank" title="time.Virtual:">time.Virtual: https://events.vtools.ieee.org/m/515425

Join us for an engaging Lunch and Learn with Edmond Zauner, Senior RF Microwave Application Engineer at Rohde & Schwarz, as he provides a comprehensive introduction to VNA measurements:· VNA architectures and measurements· Calibration methods· De-embedding techniques· Non-linear measurements of amplifiersPizza Lunch will be Provided!Speaker: Edmond Zauner has been involved in RF and Microwave Test and Measurement and circuit/EM simulation in Canada since 1983. Specializing in Vector Network analysis, Spectrum Analysis and Phase noise measurements. Working at several major instrumentation solution providers as application specialist and senior subject matter expert. Edmond has a Bachelors in Electrical Engineering and MBA from McGill <a href="http://University.Bldg:" target="_blank" title="University.Bldg:">University.Bldg: ICT 424C, University of Calgary, Calgary, Alberta, Canada

This is a joint meeting of Canadian Society of Senior Engineers and IEEE Life Members Affinity <a href="http://Groups.This" target="_blank" title="Groups.This">Groups.This series of presentations has been occurring for more than 20 years and is now being also advertised to the IEEE Northern Canada Section (NCS) Life Members Affinity Group (LMAG) through vTools and other IEEE LMAG's and IEEE members depending upon the topic. At the same time the Canadian Society of Senior Engineers (CSSE) is using their national organization to provide information, the subject and speaker to members across <a href="http://Canada.The" target="_blank" title="Canada.The">Canada.The next meeting will be held on Thursday, November 20, 2025. The meeting will open at 12:30 pm MST (2:30pm Eastern), with the presentation starting at 12:45 (2:45 pm EST). The meeting will be held via the Zoom platform with the actual invitations sent the afternoon of Wednesday, November 19. If you plan to attend and be included on the Zoom invite for this meeting please respond to Tom Madsen, [email protected], before noon on Wednesday, November 19.Please note the meeting originates in Alberta which is in the Mountain Time Zone, so if you are in another province you must account any necessary time <a href="http://shift.Topic:" target="_blank" title="shift.Topic:">shift.Topic: ATCO's Affordable Housing InitiativeSpeaker: Benoît GagnéBio:Benoît Gagné is the Senior Vice President of ATCO Structures, a company that has been a leader in modular building solutions since 1947. With over 28 years at ATCO, Ben oversees Canadian operations and contributes to the company’s strategic direction <a href="http://nationwide.Throughout" target="_blank" title="nationwide.Throughout">nationwide.Throughout his career at ATCO, Ben has continually advanced into roles of increasing responsibility. In his current position, he is focused on driving company growth by scaling advanced modular manufacturing techniques across ATCO’s four plants. Additionally, he is committed to enhancing the project delivery model, ensuring greater certainty and improved results for <a href="http://customers.Virtual:" target="_blank" title="customers.Virtual:">customers.Virtual: https://events.vtools.ieee.org/m/514768

You are invited to attend the 9th Montreal Photonics Networking Event on Friday 21st November 2025.The Montreal Photonics Networking Event is an annual event that brings together students doing research in photonics, as well as the local industry and innovation ecosystem. The event features a poster competition with several prizes and various networking activities to foster professional development. The event’s mission is to bring together graduate students to (1) establish a way for students to discuss life as a photonics researcher, (2) enhance research synergies, and (3) connect with the industry for further career <a href="http://development.-----------------Vous" target="_blank" title="development.-----------------Vous">development.-----------------Vous êtes invité·e·s à participer au 9e événement de réseautage en photonique de Montréal le vendredi 21 novembre 2025.Le Montreal Photonics Networking Event est un événement annuel qui rassemble les étudiant·e·s qui font de la recherche en photonique, ainsi que l'industrie locale et l'écosystème de l'innovation. L'événement comprend un concours d'affiches doté de plusieurs prix et diverses activités de réseautage visant à favoriser le développement professionnel. La mission de l'événement est de rassembler les étudiant·e·s (1) permettre aux étudiant.e.s d'échange sur la vie de chercheur·e en photonique, (2) améliorer les synergies de recherche, et (3) rencontrer des représentant·e·s de l'industrie pour développer de nouvelles perspectives de carrièreSpeaker(s): Mathieu JuanAgenda: - 8:30 AM - 9:30 AM: Booth & poster set-up- 9:30 AM - 10:00 AM: Registration general attendees- 10:00 AM - 11:00 AM: Poster session #1 dedicated to Dr. Andrea Rovere- 11:00 AM - 12:00 PM: Speed-networking session- 12:00 PM - 1:00 PM: Networking & lunch- 1:00 PM - 1:10 PM: Welcome by Chair in conference room : M1010 - Pavillon Lassonde- 1:10 PM - 2:00 PM: Plenary speaker in conference room : M1010 - Pavillon Lassonde- 2:00 PM - 3:00 PM: Poster session #2- 3:00 PM - 3:45 PM: Free networking- 3:45 PM - 4:00 PM: Announcement of presentation competition winners and closing speech- 4:00 PM - 5:00 PM: Social networkingRoom: Atrium Lorne-M.-Trottier, Bldg: Pavillon Lassonde, 3e étage, 2700, Chemin de la Tour, Montréal, Quebec, Canada, H3T 1J4

This talk focuses on how AI and data science can be effectively applied to solve real problems in scientific and engineering contexts. It will cover practical examples of using machine learning for modeling and prediction, automating data analysis workflows, improving experimental design through data-driven insights, and communicating results clearly with visualization tools. Attendees will learn which AI and data skills are most valuable for research and industry, how to choose the right methods for their data, and what approaches truly make an impact in advancing innovation and <a href="http://efficiency.300" target="_blank" title="efficiency.300">efficiency.300 Ouellette Ave, University of Windsor- Advanced Hub, Windsor, Ontario, Canada

EXPLAINABLE AND ROBUST AI FOR 6GDr. SINEM COLERIWhen: November 21st at 10H30 AM ESTVia zoom: <a href="https://uqtr.zoom.us/j/81521084215?pwd=bchQDndZg7DTlpVuaeag6bhGwaOvn9.1Meeting" target="_blank" title="https://uqtr.zoom.us/j/81521084215?pwd=bchQDndZg7DTlpVuaeag6bhGwaOvn9.1Meeting">https://uqtr.zoom.us/j/81521084215?pwd=bchQDndZg7DTlpVuaeag6bhGwaOvn9.1Meeting ID: 815 2108 4215Password: 018477Unlike previous generations of wireless networks, which were primarily designed to meet the requirements of human communications, 5G networks enable extensive data collection from machines. As we transition to 6G, the emphasis moves beyond connectivity toward leveraging this machine-generated data for a new spectrum of control applications, such as UAV swarms, collaborative robots, and cooperative autonomous vehicles. Designing communication systems for these advanced control applications introduces a distinct set of challenges. These include meeting stringent requirements for delay and reliability, addressing the semantics of control systems, and ensuring robust resource management. In the first part of this talk, we explore ultra-reliable channel modeling and communication techniques based on the integration of extreme value theory with generative artificial intelligence (AI). These methods offer improved accuracy in predicting rare but critical events while providing adaptivity to dynamic scenarios. In the second part of the talk, we explore the benefits of employing optimization theory based, explainable, and robust AI in radio resource management for the joint design of control and communication systems. These approaches offer a systematic methodology to enhance robustness and interpret decisions made by black-box AI <a href="http://models.BIOGRAPHYDr" target="_blank" title="models.BIOGRAPHYDr">models.BIOGRAPHYDr. Sinem Coleri is a Professor in the Department of Electrical and Electronics Engineering at Koc University. She is also the founding director of Wireless Networks Laboratory (WNL) and director of Ford Otosan Automotive Technologies Laboratory. Sinem Coleri received the BS degree in electrical and electronics engineering from Bilkent University in 2000, the M.S. and Ph.D. degrees in electrical engineering and computer sciences from University of California Berkeley in 2002 and 2005. She worked as a research scientist in Wireless Sensor Networks Berkeley Lab under sponsorship of Pirelli and Telecom Italia from 2006 to 2009. Since September 2009, she has been a faculty member in the department of Electrical and Electronics Engineering at Koc University. Her research interests are in 6G wireless communications and networking, AI-based wireless networks, machine-to-machine communications, wireless networked control systems and vehicular <a href="http://networks.Dr" target="_blank" title="networks.Dr">networks.Dr. Coleri has more than 150 publications with citations over 12000 (Google scholar profile). She has received numerous awards and recognitions, including TUBITAK (The Scientific and Technological Research Council of Turkey) Science Award in 2024; N2Women: Stars in Computer Networking and Communications in 2022; TUBITAK Incentive Award and IEEE Vehicular Technology Society Neal Shepherd Memorial Best Propagation Paper Award in 2020; Outstanding Achievement Award by Higher Education Council in 2018; and Turkish Academy of Sciences Distinguished Young Scientist (TUBA-GEBIP) Award in 2015.Dr. Coleri currently holds the position of Editor-in-Chief at the IEEE Open Journal of the Communications Society. Dr. Coleri is an IEEE Fellow, AAIA Fellow and IEEE ComSoc Distinguished <a href="http://Lecturer.Speaker(s):" target="_blank" title="Lecturer.Speaker(s):">Lecturer.Speaker(s): Dr. ColeriVirtual: https://events.vtools.ieee.org/m/509632

Recent research shows large-scale AI-centric data centers could experience rapid fluctuations in power demand due to varying computation loads, such as sudden spikes from inference or interruption of training large language models (LLMs). As a consequence, such huge and fluctuating power demand pose significant challenges to both data center and power utility operation. Accurate short-term power forecasting allows data centers and utilities to dynamically allocate resources and power large computing clusters as required. However, due to the complex data center power usage patterns and the black-box nature of the underlying AI algorithms running in data centers, explicit modeling of AI-data center is quite <a href="http://challenging.Alternatively" target="_blank" title="challenging.Alternatively">challenging.Alternatively, to deal with this emerging load forecasting problem, we propose a data-driven workflow to model and predict the short-term electricity load in an AI-data center, and such workflow is compatible with learning-based algorithms such as LSTM, GRU, 1D-CNN. We validate our framework, which achieves decent accuracy on data center GPU short-term power consumption. This provides opportunity for improved power management and sustainable data center <a href="http://operations.Co-sponsored" target="_blank" title="operations.Co-sponsored">operations.Co-sponsored by: Resilience and Clean Energy Systems (RCES)Speaker(s): Mariam MugheesVirtual: https://events.vtools.ieee.org/m/513703

You are invited to join us for the plenary presentation of the 9th Montreal Photonics Networking <a href="http://Event.Note" target="_blank" title="Event.Note">Event.Note that we have SOLD OUT for the 9th Montreal Photonics Networking Event on Friday 21st November 2025.Speaker(s): Mathieu JuanAgenda: - 1:00 PM - 1:10 PM: Welcome by Chair in conference room : M1010 - Pavillon Lassonde- 1:10 PM - 2:00 PM: Plenary speaker in conference room : M1010 - Pavillon Lassonde- 2:00 PM - 3:00 PM: Poster session #2- 3:00 PM - 3:45 PM: Free networking- 3:45 PM - 4:00 PM: Announcement of presentation competition winners and closing speech- 4:00 PM - 5:00 PM: Social networkingRoom: M1010, Bldg: Pavillon Lassonde, 1e étage, 2700, Chemin de la Tour, Montréal, Quebec, Canada, H3T 1J4

IEEE North Saskatchewan Section – 2025 AGM & DinnerPlease join the IEEE North Saskatchewan Section for our 2025 Annual General Meeting & Dinner, on Friday, November 21, 2025, at the Saskatoon Inn. Enjoy an evening of insight, connection, and recognition as we reflect on this year’s achievements and look ahead to 2026.The evening will include:• A keynote presentation from Jay Shah of Trackpoint AI, networking opportunities, and a full plated <a href="http://dinner.•" target="_blank" title="dinner.•">dinner.• A final call for nominations for the upcoming 2 year term, followed by the opening of the online election for the 2026 executive <a href="http://team.•" target="_blank" title="team.•">team.• Time to connect with colleagues over cocktails and <a href="http://conversation.Come" target="_blank" title="conversation.Come">conversation.Come hear the Section Chair’s annual report and learn about this year’s accomplishments, upcoming initiatives, and ways to get <a href="http://involved.We" target="_blank" title="involved.We">involved.We look forward to seeing you at the AGM!To nominate yourself for an upcoming executive position, please use the link (ttps<a href="http://nominations.vtools.ieee.org/tego_/nominate_or_petition/R70039)For" target="_blank" title="://nominations.vtools.ieee.org/tego_/nominate_or_petition/R70039)For">://nominations.vtools.ieee.org/tego_/nominate_or_petition/R70039)For information on the Saskatoon Inn, or to book a room, please see: <a href="https://saskatooninn.comBuffet" target="_blank" title="https://saskatooninn.comBuffet">https://saskatooninn.comBuffet Menu:      •     Sage Rubbed Turkey with Pan Gravy      •     Potato & Scallion Dinner Rolls      •     Field Greens & Dressings, Two Chef-Inspired Salads      •     Holiday Crudités with Cucumber Dip      •     Traditional Sage Bread Dressing      •     Buttered Vegetable Medley      •     Whipped Potatoes with Scallions & Roasted Garlic      •     House-Made Orange-Laced Cranberry Sauce      •     Festive Dainties, Cookies, Tartlets & Eggnog Bread PuddingCheers,Adam Detillieux,Past ChairSpeaker(s): Jay ShahAgenda: 6:00 – 6:15 PM : Registration & Networking6:15 – 7:00 PM : Chair’s Report, Election Overview, and Bylaw Review7:00 – 7:45 PM : Dinner Service7:45 – 8:30 PM : Guest Speaker: Jay Shah - Trackpoint AI8:30 – 9:30 PM : Closing Remarks & NetworkingRoom: Courtyard Room, Bldg: Saskatoon Inn, 2002 Airport Dr, Saskatoon, Saskatchewan, Canada, S7L6M4

We will be hosting our November meeting on Sunday, November 23rd from 10:00-11:00 AM, likely in person in <a href="http://MCLD.During" target="_blank" title="MCLD.During">MCLD.During this meeting, we will:- Share updates from each of your respective groups on all ongoing initiatives- See how the technical societies are shaping up- Address any questions you may have- Discuss the upcoming Career Fair next week and the Battle Royale event planned for February- Review the events plan for next semester and clarify your roles moving forward- Make some content for promotional materialThis is an opportunity to connect with the team and align on our goals for the rest of the year before the break (and before finals are imminent...)Vancouver, British Columbia, Canada

Despite the rapid advances in Large Language Models (LLM), research efforts have historically focused disproportionately on high-resource languages, particularly English, leaving over 7,000 living languages underserved. We address the fundamental challenge of bridging the gap of low-resource language (LRL) translation in multilingual language models. Low-resource languages are typically characterized by a scarcity of both unlabeled and labeled data, as well as limited tools and models. This talk explores strategies aimed at bridging the gap of low-resource language (LRL) translation in multilingual models, where LRLs are characterised by a limited scarcity of both unlabeled and labelled data, as well as limited tools and <a href="http://models.Speaker(s):" target="_blank" title="models.Speaker(s):">models.Speaker(s): Dr. Lee, Room: 313, Bldg: Bergeron Centre for Engineering Excellence, 11 Arboretum Ln, North York, Ontario, Canada, M3N 3A7

Abstract: The ongoing advancement of technology, combined with innovations in material processing, has driven the evolution of advanced sensor systems, expanding their use across a wide range of industries. Concurrently, the rise of the Internet of Things (IoT) has significantly contributed to market growth. Sensors, which are integral to IoT devices, are experiencing increased demand as the IoT market continues to expand. This trend is anticipated to persist, with projections of billions of connected devices globally. From a technological perspective, 5G revolutionizes IoT and sensor networks with unmatched speed, low latency, and broad connectivity, enabling real-time data transfer and improved efficiency across various applications. Looking ahead, 6G is set to offer even lower latency, higher data rates, and better reliability, integrating AI and expanding XR capabilities, thus exceeding 5G's impact. Currently, 5G can support ~1M IoT devices per square kilometer, with 6G expected to support ~10 M devices per square kilometer by 2030. However, these advancements also raise concerns about increased energy consumption, a larger carbon footprint, and the environmental impact, including the surge in electronic waste (e-waste) from the rapid deployment and obsolescence of connected <a href="http://devices.As" target="_blank" title="devices.As">devices.As a proactive approach, exploring alternative materials such as biodegradable polymers, graphene, and other nanomaterials, along with advancing electromagnetic techniques for more efficient operation, is inevitable for these emerging platforms to achieve more sustainable and eco-friendly solutions. In this presentation, I will be talking about recent developments in integrating novel materials into microwave structures for emerging sensing applications. Materials such as MXene and conductive polymers will be discussed as alternative replacements for conventional metal-based structures, enabling 3D printing and manufacturing of antennas and communication systems in space, supporting sustainable infrastructure and advancing deep space exploration and communication <a href="http://networks.Speaker" target="_blank" title="networks.Speaker">networks.Speaker Bio: Mohammad H. Zarifi (Ph.D. PEng, PRC Tier II, SMIEEE), is currently an Associate Professor and Tier II Principal’s Research Chair (PRC) in Sensors and Microelectronics at the School of Engineering at the University of British Columbia, and the director of Okanagan MicroElectronics and Gigahertz Applications laboratory (OMEGA Lab), Canada. Dr. Zarifi has authored or co-authored more than 150 papers in peer-reviewed journals and conference proceedings and holds six issued or pending patents. Dr. Zarifi’s research focuses on Applied Electromagnetics and Circuits and Systems for Communications and Sensing Applications. Dr. Zarifi has received the Emerging Researcher Award and the Best Teaching Award at the School of Engineering in 2020 and 2021, respectively. He is also an IEEE MTT-S Distinguished Microwave Lecturer for the class of 2024-2027.Bldg: ICT 516, University of Calgary, Calgary, Alberta, Canada