ECE In Medicine
Our interdisciplinary research ranges from designing biomolecular sensors to developing data-intensive approaches for ensuring the safety of medical devices.
We leverage machine learning, image processing, and computational models to address challenges in radiology, bioinformatics, and mobile sensing.
Core Faculty
Scott T. Acton
Professor Acton’s laboratory at UVA is called VIVA - Virginia Image and Video Analysis. They specialize in biological image analysis problems. The research emphases of VIVA include machine learning for image and video analysis, AI for education, tracking, segmentation, and enhancement.
Homa Alemzadeh
Homa Alemzadeh is an Assistant Professor in the Department of Electrical and Computer Engineering and Computer Science at UVA. She is also affiliated with the UVA Link Lab, a multi-disciplinary center for research and education in Cyber-Physical Systems (CPS). Before joining UVA, she was a Research Staff Member at the IBM TJ Watson Research Center.
Tom Fletcher
Mathews Jacob is is an expert in machine learning algorithms for biomedical imaging. He develops advance magnetic resonance imaging (MRI) methods for brain, lung, and heart applications.
Gustavo Kunde Rohde, Ph.D.
Dr. Rohde develops computational predictive models with applications in pathology, radiology, systems biology, and mobile sensing.
Amanda Watson
Amanda Watson’s research focuses on wearable technology for healthcare and athletic performance. Amanda Watson is an Assistant Professor in Electrical Engineering and Computer Science at the University of Virginia. She is also affiliated with the UVA Link Lab, a multi-disciplinary center for research and education in Cyber-Physical Systems (CPS).
Jing Yang
Miaomiao Zhang
Professor Zhang completed her PhD in computer science at the University of Utah. She was a postdoctoral associate in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology.
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