BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250302T024431Z UID:C4ADD837-03AF-4ED2-8050-58CADFDBD132 DTSTART;TZID=America/New_York:20250226T150000 DTEND;TZID=America/New_York:20250226T160000 DESCRIPTION:Speaker: Dr. Hatem Abou-Zeid\, Assistant Professor\nDepartment of Electrical and Software Engineering\, University of Calgary\n\nAbstract : Artificial intelligence capabilities are envisioned to transform the des ign and operation of 6G networks. While research efforts have demonstrated the potential of AI for wireless\, the lack of generalization and the nee d for tailored AI models per wireless function/task have challenged their practical adoption. In this talk\, I will discuss these challenges with re al-world examples. I will then discuss the emerging paradigm of foundation models and strategies toward achieving such models in the wireless contex t. Several methods will be presented to effectively represent wireless sig nals into embeddings that achieve generalizability – a key requirement f or the development of foundation AI models. This will be followed with exa mples of multi-task foundation models developed using pre-training and sel f-supervised approaches for wireless signals. My talk will conclude with s ome exciting future research directions toward foundation AI models for 6G networks.\n\nSpeaker Biography:\nDr. Hatem Abou-Zeid is an Assistant Prof essor at the University of Calgary and Director of the WAVES Research Grou p. His research expertise is in generalizable and trustworthy artificial i ntelligence (AI) for wireless communications and sensing\, and extended re ality networking. Prior to joining the University of Calgary\, he was at E ricsson Canada leading 5G research for intelligent RANs and low-latency co mmunications. Several wireless access and traffic engineering techniques t hat he co-invented and co-developed are deployed in 5G networks worldwide. Dr. Abou-Zeid's research has resulted in 20 patent filings and over 80 jo urnals and conference publications in several IEEE flagship venues. He is an avid supporter of industry-university partnerships and applied research \, and he served on the Ericsson Government Industry Relations and Talent Development Committees. He delivered numerous invited talks on trustworthy and generalizable AI for future networks and received several accolades i ncluding the AI/ML Finalist "Best in Sector" ASTech Award\, Best Paper Awa rd at IEEE ICC 2022\, Best Student Paper Award at IEEE EMBC 2024\, the Sch ulich Research Excellence Award\, Schulich Outstanding Academic Achievemen t Award\, the Software Engineering Professor of the Year Award\, and the S chulich Graduate Supervision Award.\n\nSpeaker Website and Google Scholar Profile:\nhttps://www.hatem-abouzeid.com/\nhttps://scholar.google.com/cita tions?user=Zf_JnaoAAAAJ&hl=en&oi=ao\n\nCo-sponsored by: Dept. of Elec. & C omp. Eng.\, Royal Military College of Canada\n\nSpeaker(s): Hatem\, \n\nVi rtual: https://events.vtools.ieee.org/m/468369 LOCATION:Virtual: https://events.vtools.ieee.org/m/468369 ORGANIZER:chan-f@rmc.ca SEQUENCE:29 SUMMARY:IEEE Talk: Building Foundation Models and Generalizable AI in 6G URL;VALUE=URI:https://events.vtools.ieee.org/m/468369 X-ALT-DESC:Description: <br /><p><strong>Speaker</strong>: Dr. Hatem Abou-Z eid\, Assistant Professor<br>Department of Electrical and Software Enginee ring\, University of Calgary</p>\n<p><strong>Abstract</strong>: Artificial intelligence capabilities are envisioned to transform the design and oper ation of 6G networks. While research efforts have demonstrated the potenti al of AI for wireless\, the lack of generalization and the need for tailor ed AI models per wireless function/task have challenged their practical ad option. In this talk\, I will discuss these challenges with real-world exa mples. I will then discuss the emerging paradigm of foundation models and strategies toward achieving such models in the wireless context. Several m ethods will be presented to effectively represent wireless signals into em beddings that achieve generalizability &ndash\; a key requirement for the development of foundation AI models. This will be followed with examples o f multi-task foundation models developed using pre-training and self-super vised approaches for wireless signals. My talk will conclude with some exc iting future research directions toward foundation AI models for 6G networ ks.<br><br><strong>Speaker Biography:</strong><br>Dr. Hatem Abou-Zeid is a n Assistant Professor at the University of Calgary and Director of the WAV ES Research Group. His research expertise is in generalizable and trustwor thy artificial intelligence (AI) for wireless communications and sensing\, and extended reality networking. Prior to joining the University of Calga ry\, he was at Ericsson Canada leading 5G research for intelligent RANs an d low-latency communications. Several wireless access and traffic engineer ing techniques that he co-invented and co-developed are deployed in 5G net works worldwide. Dr. Abou-Zeid's research has resulted in 20 patent filing s and over 80 journals and conference publications in several IEEE flagshi p venues. He is an avid supporter of industry-university partnerships and applied research\, and he served on the Ericsson Government Industry Relat ions and Talent Development Committees. He delivered numerous invited talk s on trustworthy and generalizable AI for future networks and received sev eral accolades including the AI/ML Finalist "Best in Sector" ASTech Award\ , Best Paper Award at IEEE ICC 2022\, Best Student Paper Award at IEEE EMB C 2024\, the Schulich Research Excellence Award\, Schulich Outstanding Aca demic Achievement Award\, the Software Engineering Professor of the Year A ward\, and the Schulich Graduate Supervision Award.</p>\n<p>Speaker Websit e and Google Scholar Profile:<br><a href="https://www.hatem-abouzeid.com/" >https://www.hatem-abouzeid.com/</a>&nbsp\;<br><a href="https://scholar.go ogle.com/citations?user=Zf_JnaoAAAAJ&amp\;hl=en&amp\;oi=ao">https://schola r.google.com/citations?user=Zf_JnaoAAAAJ&amp\;hl=en&amp\;oi=ao</a>&nbsp\;< /p> END:VEVENT END:VCALENDAR