Yasamin Mostofi

Yasamin Mostofi

CRML Affiliated Faculty

Professor, Electrical and Computer Engineering




Mostofi works on multi-disciplinary problems related to two areas of communications and robotics. Current research thrusts include: novel sensing methods with everyday communication signals (e.g., using WiFi for through-wall crowd analytics, imaging, person identification, and smart health), robotic through-wall imaging, communication-aware robotics, co-optimization of robotic navigation and communication, human-robot collaboration, machine learning, and vision. In the area of machine learning, she has shown how machine learning methods can be used to train new RF sensing systems, but without any need to collect RF training data, or to enable more robust human-robot collaborations.


Yasamin Mostofi received the B.S. degree in electrical engineering from Sharif University of Technology, and the M.S. and Ph.D. degrees from Stanford University. She is currently a professor in the Department of Electrical and Computer Engineering at the University of California Santa Barbara. Yasamin is the recipient of the Antonio Ruberti Prize from the IEEE Control Systems Society, the Presidential Early Career Award for Scientists and Engineers (PECASE), the National Science Foundation (NSF) CAREER award, and the IEEE Outstanding Engineer Award of Region 6 (more than 10 Western U.S. states), among other awards. She was a semi-plenary speaker at the 2018 IEEE Conference on Decision and Control (CDC) and a keynote speaker at the 2018 Mediterranean Conference on Control and Automation (MED). Her research is multi-disciplinary, expanding wireless communications, sensing, and control/robotics. Her research has appeared in several reputable news venues such as BBC, Huffington Post, Daily Mail, Engadget, TechCrunch, NSF Science360, ACM News, and IEEE Spectrum, among others. She is a fellow of IEEE.