Internet of Mobility: Cloud-Facilitated Privacy-Aware Collaborative Sensing and Control in Connected and Automated Vehicles
With the advent of 5G technology, cloud computing is poised to transform mobility systems by leveraging big
data and high-performance computing. At the same time, modern vehicles are increasingly equipped with
advanced sensing and connectivity features. The seamless integration of cloud and onboard resources is
essential for enabling next-generation vehicles with enhanced safety, comfort, and energy efficiency.
In this talk, I will introduce a cloud-facilitated collaborative sensing and control paradigm for connected
vehicles. First, I will present a privacy-aware collaborative sensing framework that leverages heterogeneous
vehicles as mobile sensors to crowdsource critical road and traffic information while preserving privacy. Then,
I will discuss a privacy-preserving cloud-assisted control scheme that systematically integrates cloud and local
controllers, ensuring improved performance, stability, and data security. I will also talk about my recent work
on agricultural robotic systems.
Date and Time
Location
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- 82 University Pl
- burlington, Vermont
- United States 05405
- Building: Innovation
- Room Number: 432
- Starts 07 November 2025 07:06 PM UTC
- Ends 15 November 2025 12:08 AM UTC
- No Admission Charge
Speakers
Dr. Zhaojian Li is a Red Cedar Distinguished Associate Professor in the Department of Mechanical Engineering
at Michigan State University. He obtained M.S. (2013) and Ph.D. (2015) in Aerospace Engineering (flight
dynamics and control) at the University of Michigan, Ann Arbor. Dr. Li worked as an algorithm engineer at
General Motors from January 2016 to July 2017. His research interests include Optimal Control and Machine
Learning, with applications to Robotics and Connected Automated Vehicles. He is the author of more than 80
top journal articles and several patents. He is currently the Associate Editor for IEEE Transactions on Control
System Technology, IEEE Transactions on Intelligent Vehicles, and ASME Journal of Dynamic Systems,
Measurement. His research has been funded by National Science Foundation, National Institute of Health, US
Department of Agriculture, Army, Office of Naval Research, Ford, DENSOR, T-Mobile, among others. He is a
senior member of IEEE and the recipient of 2025 ASME DCSD Outstanding Young Investigator Award, the
2021 NSF CAREER award, 2023 ASABE Engineering Concept of the Year Award, and several Best Paper
awards.