Applied Innovation

Detail photograph of screens during the virtual reality test run of an autonomous vehicle at Mcity on North Campus of the University of Michigan in Ann Arbor.

Driving progress. Shaping the future.

UMTRI experts bridge the gap between invention and implementation by harnessing applied innovation to advance transportation and mobility research. Our team develops new technologies and methods to tackle real-world transportation challenges and deliver meaningful impact. By translating groundbreaking discoveries into actionable solutions, they are driving progress and shaping the future of transportation with leading-edge research and practical improvements.

Wenbo Sun

Wenbo Sun

Assistant Research Scientist

Expertise: Computer vision, vehicle safety, assistant driving systems, smart manufacturing, statistical modeling of engineering system responses, data-driven decision making, development of methodologies for anomaly detection and system design optimization, Gaussian process modeling, generative models, anomaly detection

Arpan Kusari

Arpan Kusari

Assistant Research Scientist

Expertise: Autonomous vehicle validation, AI for transportation, multi-sensor calibration, fault tolerance, sensor fusion, object detection, out-of-distribution (OOD) detection, statistical bounds in machine learning, perception systems, decision-making in AV’s deep reinforcement learning (DRL), signal optimization

Paul Green

Paul A. Green

Research Professor

Expertise: Human factors engineering, usability, driver-vehicle interface, modeling of human performance, driver workload, human-computer interaction