Sina Farsiu

Research Interests

Focused on medical imaging and machine learning to improve the overall health and vision outcome of patients with ocular and neurological diseases (e.g., age-related macular degeneration, diabetic retinopathy, Alzheimer, and ALS) through earlier and personalized therapy.

Bio

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

• B.S. Sharif University of Technology (Iran), 1999
• M.S. University of Tehran (Iran), 2001

Trainings & Certifications

• Research Assistant, ELECTRICAL ENGINEERING (2001 - 2005) University of California, Santa Cruz
• Postdoctoral Scholar, ELECTRICAL ENGINEERING (2006 - 2007) University of California, Santa Cruz

Positions

• Anderson-Rupp Professor of Biolmedical Engineering
• Professor in the Department of Biomedical Engineering
• Professor in the Department of Electrical and Computer Engineering
• Professor of Computer Science
• Faculty Network Member of the Duke Institute for Brain Sciences

Courses Taught

• ECE 899: Special Readings in Electrical Engineering
• BME 792: Continuation of Graduate Independent Study
• BME 791: Graduate Independent Study
• BME 789: Internship in Biomedical Engineering
• BME 544: Digital Image Processing (GE, IM)
• BME 494: Projects in Biomedical Engineering (GE)
• BME 493: Projects in Biomedical Engineering (GE)