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

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

This event would take place during finals period and would allow us to create a cozy environment to help students during this stressful time through multiple holiday themed stations hot chocolate or gingerbread decorating stations. These events foster community, mentorship, creativity and a sense of belonging, helping new students feel supported and engaged from day <a href="http://one.Ottawa" target="_blank" title="one.Ottawa">one.Ottawa, Ontario, Canada

ABSTRACT: The compute demands of AI and robotics continue to rise due to the rapidly growing volume of data to be processed; the increasingly complex algorithms for higher quality of results; and the demands for energy efficiency and real-time performance. In this talk, we will discuss the design of efficient tailored hardware accelerators and the co-design of algorithms and hardware that reduce the energy consumption while delivering swift real-time and robust performance for applications including deep neural networks, data analytics with sparse tensor algebra, and autonomous navigation. Throughout the talk, we will highlight important design principles, methodologies, and tools that can facilitate an effective design process and various forms of co-design that can broaden the design <a href="http://space.BIO:" target="_blank" title="space.BIO:">space.BIO: Vivienne Sze is a professor in the Electrical Engineering and Computer Science Department at MIT. She works on computing systems that enable energy-efficient machine learning, computer vision, and video compression/processing for a wide range of applications, including autonomous navigation, digital health, and the internet of things. She is widely recognized for her leading work in these areas and has received awards, including faculty awards from Google, Facebook, and Qualcomm, the Symposium on VLSI Circuits Best Student Paper Award, the IEEE Custom Integrated Circuits Conference Outstanding Invited Paper Award, and the IEEE Micro Top Picks Award. As a member of the Joint Collaborative Team on Video Coding, she received the Primetime Engineering Emmy Award for the development of the High-Efficiency Video Coding video compression standard. She is a co-editor of High Efficiency Video Coding (HEVC): Algorithms and Architectures (Springer, 2014) and co-author of Efficient Processing of Deep Neural Networks (Synthesis Lectures on Computer Architecture, Morgan Claypool, 2020). For more information about Prof. Sze’s research, please visit (https://can01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fsze.mit.edu%2F&data=05%7C02%7Ckelly.hunter%40mail.utoronto.ca%7C0c1d2bb1b79a45865a2f08de1bb0ba44%7C78aac2262f034b4d9037b46d56c55210%7C0%7C0%7C638978643061187412%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=rBYJubhz5nDvA8lPUSMBcl2TGsc9ZebyegOiKWWoVtg%3D&reserved=0).Speaker(s):" target="_blank" title="http://sze.mit.edu](https://can01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fsze.mit.edu%2F&data=05%7C02%7Ckelly.hunter%40mail.utoronto.ca%7C0c1d2bb1b79a45865a2f08de1bb0ba44%7C78aac2262f034b4d9037b46d56c55210%7C0%7C0%7C638978643061187412%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=rBYJubhz5nDvA8lPUSMBcl2TGsc9ZebyegOiKWWoVtg%3D&reserved=0).Speaker(s):">http://sze.mit.edu](https://can01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fsze.mit.edu%2F&data=05%7C02%7Ckelly.hunter%40mail.utoronto.ca%7C0c1d2bb1b79a45865a2f08de1bb0ba44%7C78aac2262f034b4d9037b46d56c55210%7C0%7C0%7C638978643061187412%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=rBYJubhz5nDvA8lPUSMBcl2TGsc9ZebyegOiKWWoVtg%3D&reserved=0).Speaker(s): VivienneRoom: MC252, Bldg: Mechanical Engineering Building, 5 King's College Road, Toronto, Ontario, Canada, M5S3G8

Join us for the IEEE Victoria Section Annual General Meeting (AGM) 2025! This meeting provides an opportunity to reflect on the section’s activities over the past year, share future plans, and connect with fellow IEEE members in our local community. Your participation and feedback are valuable as we continue to grow and strengthen our <a href="http://section.Please" target="_blank" title="section.Please">section.Please RSVP by November 17, 2025, to help us plan <a href="http://accordingly.***CANCELED***Room:" target="_blank" title="accordingly.***CANCELED***Room:">accordingly.***CANCELED***Room: ECS 660, Bldg: Engineering and Computer Science Building (ECS), 3800 Finnerty Road, Victoria, British Columbia, Canada, V8P 5C2

How do we recognise that we're working with a complex system, and what guidance can be provided for someone starting such a development from scratch (unlikely) or having to rework an existing complex system (more likely)? I'm currently working with an engineer in the UK, looking at how cars and trucks with vehicle-to-vehicle and vehicle-to-infrastructure communications are going to affect the smart motorways they have in theUK, and we're learning a <a href="http://lot.Speaker(s):" target="_blank" title="lot.Speaker(s):">lot.Speaker(s): Chris Hobbs, Agenda: Weblink will be open 10min. prior to the <a href="http://start.The" target="_blank" title="start.The">start.The event will start on <a href="http://time.There" target="_blank" title="time.There">time.There will be a Q&A opportunity: type the question into chat during the presentation, and it will be addressed either during or after the presentation (may also allow spoken questions depending on the time or number of questions posed).Virtual: https://events.vtools.ieee.org/m/513300