IEEE Leadership Seminar: Rose Faghih, Assistant Professor, University of Houston
Friday, November 13, 2020
3:30 p.m.-4:30 p.m.
301 405 4471
Rose Faghih, Assistant Professor, University of Houston
RSVP Link: go.umd.edu/faghih-ieee
BIO: Rose T. Faghih is an assistant professor of Electrical and Computer Engineering at the University of Houston where she directs the Computational Medicine Laboratory. She received a bachelor’s degree (summa cum laude) in Electrical Engineering (Honors Program Citation) from the University of Maryland, and S.M. and Ph.D. degrees in Electrical Engineering and Computer Science with a minor in Mathematics from MIT, where she was a member of the MIT Laboratory for Information and Decision Systems as well as the MIT-Harvard Neuroscience Statistics Research Laboratory. She completed her postdoctoral training at the Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory at MIT as well as the Department of Anesthesia, Critical Care and Pain Medicine at the Massachusetts General Hospital. Rose is the recipient of various awards including an MIT Technology Review 2020 Innovator Under 35 award, a 2020 National Science Foundation CAREER Award, a 2020 Research Excellence award as well as a 2020 Teaching Excellence Award from the University of Houston's Cullen College of Engineering, a 2016 IEEE-USA New Face of Engineering award, a National Science Foundation Graduate Research Fellowship, an MIT Graduate Fellowship, and the University of Maryland's Department of Electrical and Computer Engineering Chair's Award. Moreover, Rose was selected by the National Academy of Engineering for the 2019 U.S. Frontiers of Engineering Symposium. She was also selected by the New York Academy of Sciences and Japan Agency for Medical Research and Development for the 2020 Interstellar Initiative. In 2020, Rose was featured by the IEEE Women in Engineering Magazine as a “Woman to Watch”. Furthermore, she has been inducted into various honor societies including Phi Kappa Phi, Tau Beta Pi, and Eta Kappa Nu. Her research interests include wearable technologies, medical cyber-physical systems, and control, estimation and system identification of biomedical and neural systems.
For more information, please visit her lab’s website: