Efe Yarbasi is an Assistant Research Scientist in the Engineering Systems Group at the University of Michigan Transportation Research Institute (UMTRI). His research covers the safety of automated and driver-assistance systems and the electrification of transportation. He serves as principal investigator and co-principal investigator on projects sponsored by NHTSA, Toyota Motor North America, and the National Cooperative Highway Research Program. He co-leads the Low Altitude Airspace Working Group at M-Air.
He holds a PhD in Aerospace Engineering from Georgia Tech. There he worked in the Aerospace Systems Design Laboratory under Prof. Dimitri Mavris and developed methods to find and reduce the uncertainties that matter most in complex, multi-disciplinary designs. He is a member of AIAA and IEEE.
Students: I enjoy working with students. If you are interested in my research, please send me an email.
A two-phase multi-agent LLM framework that reconstructs pre-crash scenarios from crash reports, scene diagrams, and event data recorder records (277 CISS rear-end crashes).
A methodology for designing computational or physical experiments that mitigate system-level uncertainty, demonstrated on an early-stage Blended-Wing-Body aircraft concept.
A probabilistic reasoning approach using large language models to explore drivers' hazardous actions in two-vehicle crashes.
A systematic methodology to identify and mitigate epistemic uncertainty in complex, multi-disciplinary aircraft design.
Identifying the critical system-level uncertainties in a coupled aerostructural analysis to decide which validation experiments to run.
