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DTSTART;TZID=UTC:20251121T153000
DTEND;TZID=UTC:20251121T170000
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LAST-MODIFIED:20251120T213615Z
UID:10000903-1763739000-1763744400@www.ieeetoronto.ca
SUMMARY:EXPLAINABLE AND ROBUST AI FOR 6G
DESCRIPTION:EXPLAINABLE AND ROBUST AI FOR 6G  Dr. SINEM COLERI  When: November 21st at 10H30 AM EST  Via zoom: https://uqtr.zoom.us/j/81521084215?pwd=bchQDndZg7DTlpVuaeag6bhGwaOvn9.1  Meeting ID: 815 2108 4215  Password: 018477  Unlike 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 models.  BIOGRAPHY  Dr. 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 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 Lecturer.  Speaker(s): Dr. Coleri  Virtual: https://events.vtools.ieee.org/m/509632
URL:https://www.ieeetoronto.ca/event/explainable-and-robust-ai-for-6g/
LOCATION:Virtual: https://events.vtools.ieee.org/m/509632
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