Deep learning for biomedical health data
Led by Behnaz Ghoraani, Ph.D.
Dr. Behnaz Ghoraani is an Associate Professor and the founder and director of the Biomedical Signal and Image Analysis lab at the Department of Computer & Electrical Engineering at Florida Atlantic University (FAU). Dr. Ghoraani’s research has primarily focused on generating clinically relevant engineering solutions to tackle significant bottlenecks in data analytics with an emphasis on computer-aided clinical decision making, long-term and continuous health monitoring, remote and personalized therapeutic management, non-stationary and multidimensional signal analysis, adaptive signal feature extraction, and traditional and deep learning machine learning. She has over 70 peer-reviewed journal and conference papers, one book, two book chapters, two patents, and several best paper awards. Her research has been funded by research grants from the National Institute of Health (NIH), National Science Foundation (NSF), and Florida Department of Health.
During this project, the REU participant will work with a team of graduate and undergraduate students on the development and implementation of deep learning models for a variety of biomedical datasets. The applicants need to be comfortable with programming in Python and eager to improve their skills during the REU program. They need to be familiar with the concept of machine learning and willing to learn more about the advanced methods in deep learning and applications in different domains. To learn more about Dr. Ghoraani’s research, visit http://biomedsignal.com/