Autonomous Vehicle Systems

Autonomous vehicle systems are capable of sensing their environment, pervasively, to learn and adjust their behavior in response to that environment by making intelligent decisions without human intervention, with the goal of improving safety and mobility. By developing sensing, navigation and decision control methods, along with novel vehicle design, we are paving the way for the next generation of safe and efficient transportation systems.

Meet the Experts

XianBiao (X.B.) Hu

Assistant Professor
Civil, Architectural and Environmental Engineering

Research Interests

Smart transportation systems, big data analytics, transportation system modeling and analytics

Ali Hurson

Professor
Electrical and Computer Engineering

Research Interests

Parallel and distributed systems, database, mobile-databases, pervsive and mobile computing

Umit Koylu

Professor
Mechanical and Aerospace Engineering

Research Interests

Conventional Energy (combustion, IC engines, coal power plants, fluid and heat transport), Alternative Energy (characterization of solid oxide fuel cells, modeling of fuel cells, hydrogen technologies, alternative fuels, clean coal technologies), Environmental Science & Technology (air pollutants, particulates, measurement techniques), Various Fields (synthesis of nanoparticles, laser diagnostics, fire safety, thermal engineering)

Jagannathan Sarangapani

William A. Rutledge - Emerson Electric Co. Distinguished Professor in Electrical Engineering
Electrical and Computer Engineering

Research Interests

Systems and control, neural network control, event triggered control/cyber-physical systems, resilience/prognostics, autonomous systems/robotics