Text Mining of Publications
Identified thematic clusters across the publication portfolioIn this project at the Aerospace Systems Design Laboratory under the supervision of Prof. Dimitri Mavris and Dr. Olivia Pinon Fischer, I applied topic modeling and natural language processing to analyze and categorize the lab’s publication portfolio. Using unsupervised clustering and text mining pipelines in Python and R, I identified the lab’s core research themes, their evolution over time, and cross-project linkages to support research portfolio planning.
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, please get in touch. I am looking for curious, motivated students to join my research. Projects range from crash analysis and AI for safety to EV charging and low-altitude airspace, and I mentor undergraduate and graduate students. If any of this sounds interesting, send me an email with a short note about your background and what you want to work on.