BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260410T032353Z UID:53A4D2CC-F244-4427-B3D2-A9FFE85BDBCA DTSTART;TZID=America/New_York:20260410T120000 DTEND;TZID=America/New_York:20260410T140000 DESCRIPTION:Come to learn and stay for lunch! The kick-off event of the sig nature Lunch&Learn series of IEEE Young Professionals Ottawa will have Pro f. Burak Kantarci\, a highly distinguished expert on automated systems and communications\, as well as surprises and treats including Turkish coffee !\nTitle: Spectrum Intelligence for 6G and Uncrewed Systems (UxS): Securit y\, Coexistence\, and Edge Autonomy\nAbstract: Uncrewed systems (UxS) are moving from niche applications to large-scale deployments across logistics \, infrastructure inspection\, public safety\, and defence-adjacent operat ions. What makes or breaks these deployments is not just the autonomy of t he platform itself\, but the reliability\, security\, and intelligence of its communications in a crowded and contested spectrum environment. This t alk addresses exactly that problem. We show how machine learning is redefi ning the radio access layer for uncrewed systems operating in shared spect rum: detecting jamming and spoofing at the RF signal level\, classifying i nterference from coexisting users\, predicting spectrum occupancy\, and en abling dynamic access decisions that protect command-and-control link inte grity in real time. Drawing on recent work in deep ensemble learning and R F fingerprinting\, we demonstrate how AI models trained on raw IQ and spec tral data can expose threats and opportunities in the spectrum that are in visible to conventional signal processing. We then examine how fleets of u ncrewed platforms can become active participants in spectrum coordination rather than passive spectrum consumers. Through federated learning and mul ti-agent reinforcement learning\, uncrewed nodes collaboratively develop s pectrum access policies adapted to their operational environment\, without offloading sensitive mission data to centralized infrastructure. This is precisely the kind of distributed\, scalable spectrum intelligence that ne xt-generation shared-access frameworks\, including those governing uncrewe d systems operations in licensed bands\, will require. The talk closes wit h a forward-looking discussion of how 6G\, combined with embedded spectrum intelligence\, can serve as the communications backbone for autonomous un crewed systems ecosystems\, enabling safe coexistence\, resilient connecti vity\, and real-time threat response across complex\, multi-stakeholder sp ectrum environments.\nBio: Burak Kantarci is a Full Professor and Universi ty Research Chair of AI-Enabled Secure Networking for Smart Critical Infra structures in the Faculty of Engineering at the University of Ottawa. He i s the founding director of the Smart Connected Vehicles Innovation Centre\ , the first academic-industry research laboratory in Canada's largest tech nology hub at Kanata North Technology Park. His current research focuses o n machine learning for spectrum intelligence\, RF security\, and resilient 6G communications\, with a particular emphasis on uncrewed aerial and gro und systems operating in shared and contested spectrum environments. His w ork spans dynamic spectrum access\, coexistence management\, jamming detec tion\, and distributed edge intelligence\, with active industry collaborat ions aimed at enabling secure and autonomous uncrewed systems communicatio ns at scale. He is the author or co-author of more than 300 publications i n established journals and conferences\, and holds a PhD in Computer Engin eering from Istanbul Technical University. He is a recipient of the King C harles III Coronation Medal (Canadian version)\, the Minister's Award of E xcellence from the Ontario Ministry of Colleges and Universities (2021)\, and the 2023 Technical Achievement Award of the IEEE ComSoc Communications Software Technical Committee. Recent research honours include the 2024-20 25 George S. Glinski Award for Excellence in Research in the Faculty of En gineering at the University of Ottawa\, the 2025 IEEE Ottawa Section Outst anding Engineering Educator Award\, and the 2026 Professional Engineers On tario-Ottawa Chapter Engineering Excellence Award. He holds the Exemplary Editor Award from IEEE Communications Surveys and Tutorials (2021) and mul tiple best paper awards from leading venues including IEEE Globecom 2024\, IEEE VCC 2023\, IEEE ICC 2023\, Wireless World Research Forum 2022\, and IEEE Globecom 2021. He serves as Editor of IEEE Communications Surveys and Tutorials and IEEE Transactions on Network Science and Engineering\, Asso ciate Editor of IEEE Networking Letters\, IEEE Transactions on Industrial Informatics\, and Vehicular Communications (Elsevier). He is a Distinguish ed Lecturer of the IEEE Communications Society and the IEEE Systems Counci l\, and was a Distinguished Speaker of the Association of Computing Machin ery (ACM) from 2019 to 2021. He is a Senior Member of both the IEEE and th e ACM.\nThis event is co-hosted by IEEE joint Chapters of Signal Processin g/Oceanic Engineering/Geoscience and Remote Sensing in Ottawa and IEEE Wom en In Engineering (WIE) Ottawa.\n\nSpeaker(s): Prof. Burak Kantarci\n\nAge nda: \n- Welcoming and introduction\n- Talk by Prof. Burak Kantarci\n- Lun ch and networking\n\nRoom: RBCx Finance Quarter\, Bldg: Hub350\, 350 Legge t Dr\, Kanata\, ON \, Ottawa\, Ontario\, Canada\, K2K 3N1 LOCATION:Room: RBCx Finance Quarter\, Bldg: Hub350\, 350 Legget Dr\, Kanata \, ON \, Ottawa\, Ontario\, Canada\, K2K 3N1 ORGANIZER:irembor@ieee.org SEQUENCE:39 SUMMARY:IEEE Young Professionals Lunch and Learn Kick-Off with Prof. Burak Kantarci URL;VALUE=URI:https://events.vtools.ieee.org/m/551963 X-ALT-DESC:Description: <br /><div style="margin-top: 1em\; margin-bottom: 1em\; font-family: Aptos\,Aptos_EmbeddedFont\,Aptos_MSFontService\,Calibri \,Helvetica\,sans-serif\; font-size: 11pt\; color: rgb(0\,0\,0)\;"><strong >Come to learn and stay for lunch! The<span style="text-decoration: underl ine\;"> kick-off event</span> of the signature Lunch&amp\;Learn series of IEEE Young Professionals Ottawa will have Prof. Burak Kantarci\, a highly distinguished expert on automated systems and communications\, as well as surprises and treats including Turkish coffee!&nbsp\;&nbsp\;</strong></div >\n<div style="margin-top: 1em\; margin-bottom: 1em\; font-family: Aptos\, Aptos_EmbeddedFont\,Aptos_MSFontService\,Calibri\,Helvetica\,sans-serif\; font-size: 11pt\; color: rgb(0\,0\,0)\;"><span style="text-decoration: und erline\;"><strong>Title: Spectrum Intelligence for 6G and Uncrewed Systems (UxS): Security\, Coexistence\, and Edge Autonomy</strong></span></div>\n <div style="margin-top: 1em\; margin-bottom: 1em\; font-family: Aptos\,Apt os_EmbeddedFont\,Aptos_MSFontService\,Calibri\,Helvetica\,sans-serif\; fon t-size: 11pt\; color: rgb(0\,0\,0)\;"><strong>Abstract: </strong>Uncrewed systems (UxS) are moving from niche applications to large-scale deployment s across logistics\, infrastructure inspection\, public safety\, and defen ce-adjacent operations. What makes or breaks these deployments is not just the autonomy of the platform itself\, but the reliability\, security\, an d intelligence of its communications in a crowded and contested spectrum e nvironment. This talk addresses exactly that problem. We show how machine learning is redefining the radio access layer for uncrewed systems operati ng in shared spectrum: detecting jamming and spoofing at the RF signal lev el\, classifying interference from coexisting users\, predicting spectrum occupancy\, and enabling dynamic access decisions that protect command-and -control link integrity in real time. Drawing on recent work in deep ensem ble learning and RF fingerprinting\, we demonstrate how AI models trained on raw IQ and spectral data can expose threats and opportunities in the sp ectrum that are invisible to conventional signal processing. We then exami ne how fleets of uncrewed platforms can become active participants in spec trum coordination rather than passive spectrum consumers. Through federate d learning and multi-agent reinforcement learning\, uncrewed nodes collabo ratively develop spectrum access policies adapted to their operational env ironment\, without offloading sensitive mission data to centralized infras tructure. This is precisely the kind of distributed\, scalable spectrum in telligence that next-generation shared-access frameworks\, including those governing uncrewed systems operations in licensed bands\, will require. T he talk closes with a forward-looking discussion of how 6G\, combined with embedded spectrum intelligence\, can serve as the communications backbone for autonomous uncrewed systems ecosystems\, enabling safe coexistence\, resilient connectivity\, and real-time threat response across complex\, mu lti-stakeholder spectrum environments.</div>\n<div style="margin-top: 1em\ ; margin-bottom: 1em\; font-family: Aptos\,Aptos_EmbeddedFont\,Aptos_MSFon tService\,Calibri\,Helvetica\,sans-serif\; font-size: 11pt\; color: rgb(0\ ,0\,0)\;"><strong>Bio: </strong><span class="il">Burak</span> Kantarci is a Full Professor and University Research Chair of AI-Enabled Secure Networ king for Smart Critical Infrastructures in the Faculty of Engineering at t he University of Ottawa. He is the founding director of the Smart Connecte d Vehicles Innovation Centre\, the first academic-industry research labora tory in Canada's largest technology hub at Kanata North Technology Park. H is current research focuses on machine learning for spectrum intelligence\ , RF security\, and resilient 6G communications\, with a particular emphas is on uncrewed aerial and ground systems operating in shared and contested spectrum environments. His work spans dynamic spectrum access\, coexisten ce management\, jamming detection\, and distributed edge intelligence\, wi th active industry collaborations aimed at enabling secure and autonomous uncrewed systems communications at scale. He is the author or co-author of more than 300 publications in established journals and conferences\, and holds a PhD in Computer Engineering from Istanbul Technical University. He is a recipient of the King Charles III Coronation Medal (Canadian version )\, the Minister's Award of Excellence from the Ontario Ministry of Colleg es and Universities (2021)\, and the 2023 Technical Achievement Award of t he IEEE ComSoc Communications Software Technical Committee. Recent researc h honours include the 2024-2025 George S. Glinski Award for Excellence in Research in the Faculty of Engineering at the University of Ottawa\, the 2 025 IEEE Ottawa Section Outstanding Engineering Educator Award\, and the 2 026 Professional Engineers Ontario-Ottawa Chapter Engineering Excellence A ward. He holds the Exemplary Editor Award from IEEE Communications Surveys and Tutorials (2021) and multiple best paper awards from leading venues i ncluding IEEE Globecom 2024\, IEEE VCC 2023\, IEEE ICC 2023\, Wireless Wor ld Research Forum 2022\, and IEEE Globecom 2021. He serves as Editor of IE EE Communications Surveys and Tutorials and IEEE Transactions on Network S cience and Engineering\, Associate Editor of IEEE Networking Letters\, IEE E Transactions on Industrial Informatics\, and Vehicular Communications (E lsevier). He is a Distinguished Lecturer of the IEEE Communications Societ y and the IEEE Systems Council\, and was a Distinguished Speaker of the As sociation of Computing Machinery (ACM) from 2019 to 2021. He is a Senior M ember of both the IEEE and the ACM.</div>\n<div style="margin-top: 1em\; m argin-bottom: 1em\; font-family: Aptos\,Aptos_EmbeddedFont\,Aptos_MSFontSe rvice\,Calibri\,Helvetica\,sans-serif\; font-size: 11pt\; color: rgb(0\,0\ ,0)\;"><strong>This event is co-hosted by&nbsp\;</strong><strong>IEEE join t Chapters of Signal Processing/Oceanic Engineering/Geoscience and Remote Sensing in Ottawa and IEEE Women In Engineering (WIE) Ottawa.</strong></di v><br /><br />Agenda: <br /><ul>\n<li>Welcoming and introduction</li>\n<li >Talk by Prof. Burak Kantarci</li>\n<li>Lunch and networking</li>\n</ul> END:VEVENT END:VCALENDAR