Amir Rahmani

Position Title
Professor, Sue & Bill Gross School of Nursing
Professor, Computer Science
Professor, Electrical Engineering and Computer Science
Associate Director, Institute for Future Health
Amir Rahmani

Amir Rahmani, PhD. is a professor of Nursing and Computer Science at the University of California, Irvine (UCI), and a computer scientist by training. He is also the associate director of the UCI Institute for Future Health, a university-wide organized research unit (ORU) focusing on personal health empowerment. He leads the multi-disciplinary HealthSciTech Group at UCI.

Prior to joining UCI as a faculty, he was an EU Marie Curie Global Fellow in the Computer Science Department of University of California, Irvine, USA and in the Institute of Computer Technology of TU Wien, Vienna, Austria. He is also an adjunct professor (Docent) in embedded parallel and distributed computing in the Department of Computing of University of Turku, Turku, Finland. He also worked as a visiting researcher in the department of Industrial and Medical Electronics of KTH Royal Institute of Technology, Stockholm, Sweden.

He is the recipient of the UCI Beall Applied Innovation’s inaugural Faculty Innovation Fellowship, Nokia Foundation's Research Excellence Award (2 consecutive years), Ulla Tuominen Foundation's research excellence award, UTU's Teacher of the Year candidate, UTU's Rector awarded life-time Docent title, and the European Union's awarded Global Marie Curie Fellowship.

His work spans mhealth, data science, wearable and mobile computing, machine learning and AI, affective computing, bio-signal processing, health informatics, and embedded computing.

UC Noyce Initiative project
His UC Noyce Initiative project, “Safeguarding Privacy of Cardiovascular Waveforms through Reinforcement Learning-Guided Generative Models,” will develop AI models that can safeguard patient bio-signal data, like ECGs, in a manner that both protects patient privacy, while also allowing the de-identified biosignal data to be used for population-level analysis to improve health services. 


Noyce Focus Area