Webinar Details
Traffic monitoring is essential for connecting vehicle systems, enabling safer mobility, reducing congestion, and adaptive decision-making. This webinar presents a semantic communication framework that integrates multimodal large language models (LLMs) with simulation data generated using QLabs (Quanser Interactive Labs).
The system focuses on meaning instead of just raw data. It sends compact, context-rich information to the cloud. There, visual and language understanding helps detect vehicles, pedestrians, and traffic conditions accurately. This approach demonstrates how semantic communication and AI-driven reasoning can work together to achieve efficient, scalable, and intelligent traffic monitoring in the next-generation of transportation networks.
Presenter’s Bio
Dr. Burak Kantarci
Dr. Burak Kantarci is a Professor and University Research Chair in AI-Enabled Secure Networking at the University of Ottawa, where he directs the Smart Connected Vehicles Innovation Centre and the NEXTCON Lab. He has authored over 300 publications with more than 10,000 citations and serves as Editor for leading IEEE journals. A Senior Member of IEEE and ACM, he is a recipient of the King Charles III Coronation Medal, and the IEEE ComSoc Communications Software Technical Committee Technical Achievement Award. He is also the winner of the 2024-2025 George S. Glinski Award for Excellence in Research at uOttawa-Faculty of Engineering.
Dr. Kantarci is a Distinguished Lecturer for both IEEE Communications Society and IEEE Systems Council, and frequent keynote speaker, advancing research in AI, 6G, cybersecurity, and intelligent transportation systems.
