معرفی
Mona Garvin is a Professor in the Department of Electrical and Computer Engineering at the University of Iowa's College of Engineering. She also holds researcher positions at the Iowa Institute for Biomedical Engineering and the Iowa Initiative for Artificial Intelligence, blending engineering principles with medical imaging applications.
Education
- PhD in Biomedical Engineering, The University of Iowa (2008)
- MS in Biomedical Engineering, The University of Iowa (2004)
- BSE in Biomedical Engineering (2003)
- BS in Computer Science (2003)
Research Focus
Her work specializes in ophthalmic image analysis, leveraging machine learning and graph-theoretic approaches for 3D segmentation of retinal structures. Current projects involve differentiating optic disc pathologies (papilledema, NAION) using OCT and enhancing retinal blood flow analysis through computational models.
Professional Affiliations
- Institute of Electrical and Electronics Engineers (IEEE)
- Society of Photographic Instrumentation Engineers (SPIE)
- Association for Research in Vision and Ophthalmology (ARVO)
- American Society for Engineering Education (ASEE)
Innovative Contributions
Developed tools like AxoNet 2.0 and eyeFusion for automated retinal segmentation and visual field quantification. Her team explores deep learning solutions for OCT analysis, latent variable modeling in retinal thickness patterns, and radiation effects on retinal structures.
