Sina Farsiu

Associate Professor in the Department of Biomedical Engineering
Paul Ruffin Scarborough Distinguished Associate Professor of Engineering
Associate Professor in the Department of Ophthalmology
Associate Professor in the Department of Electrical and Computer Engineering
Associate Professor of Computer Science
Faculty Network Member of the Duke Institute for Brain Sciences
Campus mail: Box 3802 Med Ctr, Durham, NC 27710
Phone: (919) 684-6642

I am the director of the Vision and Image Processing (VIP) Laboratory. Along with my colleagues, we investigate how to improve early diagnostic methods and find new imaging biomarkers of ocular and neurological diseases in adults (e.g. age-related macular degeneration, diabetic retinopathy, Glaucoma, Alzheimer) and children (e.g. retinopathy or prematurity). We also develop automatic artificial intelligence machine learning and deep learning algorithms to detect/segment/quantify anatomical/pathological structures seen on medical images.

On another front, we study efficient signal processing based methods to overcome the theoretical and practical limitations that constrain the achievable resolution of any imaging device. Our approach, which is based on adaptive extraction and robust fusion of relevant information from the expensive and sophisticated as well as simple and cheap sensors, has found wide applications in improving the quality of imaging systems such as ophthalmic SD-OCT, digital X-ray mammography, electronic and optical microscopes, and commercial digital camcorders. We are also interested in pursuing statistical signal processing based projects, including super-resolution, demosaicing, deblurring, denoising, motion estimation, compressive sensing/adaptive sampling, and sensor fusion.

Education and Training

  • University of California at Los Angeles, Research Assistant, Electrical Engineering
  • University of California at Los Angeles, Postdoctoral Scholar, Electrical Engineering

Selected Grants and Awards


Optical coherence refraction tomography

© 2019, The Author(s), under exclusive licence to Springer Nature Limited. Optical coherence tomography (OCT) is a cross-sectional, micrometre-scale imaging modality with widespread clinical application.