Toward Ubiquitous Mobile Intelligence: AI-Empowered Mobility
Mobility has been a fundamental evolutionary driver of higher intelligence. Since the first industrial revolution, human civilization has been deeply intertwined with advances in transportation. Yet today’s transportation systems face mounting challenges in safety, efficiency, environmental impact, and spatial constraints. The emerging Fourth Industrial Revolution, driven by artificial intelligence (AI) and cyber-physical systems, offers new opportunities for a paradigm shift toward intelligence-centric mobility. In this talk, I will present our research on embedding AI into vehicles and remotely operated vehicles (ROVs). This includes a federated learning framework for training vision-language-action models and developing connected autonomy solutions enabled by intelligent network protocols. Together, these efforts move us toward a future of ubiquitous mobile intelligence, where AI-empowered engineering systems seamlessly operate across space, air, ground, and water domains.
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- Co-sponsored by Instituto Tecnológico de Cuautla (TecNM-Cuautla)
- Starts 15 October 2026 07:00 PM UTC
- Ends 23 October 2026 06:00 PM UTC
- No Admission Charge
Speakers
Lin Cai of Dept. of Electrical & Computer Engineering. University of Victoria
Toward Ubiquitous Mobile Intelligence: AI-Empowered Mobility
Mobility has been a fundamental evolutionary driver of higher intelligence. Since the first industrial revolution, human civilization has been deeply intertwined with advances in transportation. Yet today’s transportation systems face mounting challenges in safety, efficiency, environmental impact, and spatial constraints. The emerging Fourth Industrial Revolution, driven by artificial intelligence (AI) and cyber-physical systems, offers new opportunities for a paradigm shift toward intelligence-centric mobility. In this talk, I will present our research on embedding AI into vehicles and remotely operated vehicles (ROVs). This includes a federated learning framework for training vision-language-action models and developing connected autonomy solutions enabled by intelligent network protocols. Together, these efforts move us toward a future of ubiquitous mobile intelligence, where AI-empowered engineering systems seamlessly operate across space, air, ground, and water domains.
Biography:
Lin Cai has been with the Department of Electrical and Computer Engineering at the University of Victoria since 2005, where she is currently a President’s Chair Professor. She is a Fellow of the Royal Society of Canada, the Engineering Institute of Canada, the Canadian Academy of Engineering, and the IEEE, and is a recipient of the NSERC E.W.R. Steacie Memorial Fellowship. Her research interests span several areas in communications and networking, with a focus on network protocol and architecture design to support ubiquitous intelligence. She was elected to the Board of Governors of the IEEE Vehicular Technology Society (2019–2027) and serves as its Vice President for Mobile Radio (2023–2026). She also serves as a Board Member of IEEE Women in Engineering (2022–2024) and the IEEE Communications Society (2024–2026). She has been appointed as the Editor-in-Chief of the IEEE Transactions on Vehicular Technology (2026-) and as a Distinguished Lecturer for both the IEEE Vehicular Technology Society and the IEEE Communications Society.
Email:
Address:University of Victoria, Department of Electrical & Computer Engineering, Victoria, British Columbia, Canada, V8W 3P6