Yi Lu Murphey’s work with hybrid electric vehicles (HEVs) directly impacts the fuel economy in HEV manufacturing. Her research in vehicle fault diagnostics has led to automated, fast and more accurate diagnosis, ultimately reducing repair time and cost.
Now, her peers have recognized her achievements in the field.
Murphey, professor and chair of the Department of Electrical and Computer Engineering, has been named a fellow of the Institute of Electrical and Electronics Engineers (IEEE). Fellow is the highest level of IEEE membership awarded to no more than one-tenth of 1 percent of the total voting membership each year.
“I’m honored to have been recognized by IEEE,” Murphey said. “To be named an IEEE fellow is very prestigious in the academic world.”
Murphey’s research interests include machine learning and intelligent systems with applications to vehicle fault diagnostics and prognostics, optimal vehicle power management, big data mining, driver wellness, vehicle safety systems and real-time trip modeling.
“Becoming a fellow in the leading society in your field is the highest professional honor you can attain,” said Tony England, dean of the College of Engineering and Computer Science. “Yi Lu Murphey is a true leader in her field.”
Her research has been funded by the National Science Foundation (NSF), US Army TARDEC, State of Michigan, Ford Motor Company, TRW Automotive and many others. A number of the technologies she and her students developed have been deployed in manufacturing or implemented systems currently in operation.
Murphey joined the UM-Dearborn faculty in 1992 and has served as chair of the Department of Electrical and Computer Engineering since 2007. She has authored more than 130 articles in refereed journals and conference proceedings. She currently is an editor for the Journal of Pattern Recognition.