Professor, UF Research Foundation Professor &
IC3 Co-Director

Machine learning, data mining, big data and biomedical informatics

BS.c., Computer Engineering, University of Tehran, 2005
MS.c., Computer Science, Washington State University, 2008
Ph.D., Computer Science, Washington State University, 2011

Research Summary:
Dr. Rashidi’s research aims to develop intelligent patient monitoring systems using artificial intelligence and sensing technology. Her research methodology is to develop scalable machine learning techniques to tackle challenging problems that arise in the context of intelligent patient monitoring systems. In the inpatient setting, her lab is working on transforming patient care in the Intensive Care Unit (ICU) by developing autonomous monitoring tools for incorporating granular and autonomous visual assessments, and for prediction of the acuity state of patients in real-time. In the outpatient setting, she is developing intelligent tools for monitoring cognitive and mental health of community-dwelling patients using wearable and digital sensor technology powered by machine learning.

Honors and Awards:

•  UF Research Foundation Professorship, 2023-2026
• J. Crayton Pruitt Family Term Fellow, Department of Biomedical Engineering, University of Florida, 2020 – 2023
• Mitchell Max Award Finalist, National Institute of Health (NIH), 2019
• Excellence Award for Assistant Professors, University of Florida (UF Excellence Award), 2019
• Excellence Award for Assistant Professors, Herbert Wertheim College of Engineering (HWCOE Excellence Award), 2019
• National Institute of Health (NIH), Trailblazer Award, 2019
• National Science Foundation Faculty Early Career Development Program (NSF CAREER), 2018

Selected Publications:

Google Scholar Citations Link

Parisa Rashidi, Alex Mihailidis. “A Survey on Ambient Assisted Living Tools for Older Adults,” IEEE Journal of Biomedical and Health Informatics, vol.17, no.3, pp.579-590, May 2013.

Cook, D.J.; Krishnan, N.C.; Rashidi, P., “Activity Discovery and Activity Recognition: A New Partnership,” Cybernetics IEEE Transactions on , vol.43, no.3, pp.820,828, June 2013.

Parisa Rashidi, Diane J. Cook.  “Ask Me Better Questions: Active Learning Queries Based on Rule Induction,” Proceedings of International Conference on Knowledge Discovery and Data Mining (KDD). Pages 904-912, 2011.

Parisa Rashidi, Diane J. Cook, Larry Holder, Maureen Schmitter-Edgecombe. “Discovering Activities to Recognize and Track in a Smart Environment,” IEEE Transaction of Data and Knowledge Engineering (TKDE). 23(4):527-53, 2010.

Parisa Rashidi, Diane J. Cook. “Keeping the Resident in the Loop: Adapting the Smart Home to the User,” IEEE Transactions on Systems, Man, and Cybernetics, Part A (TSMC), 39(5):949-959, 2009.