Sina Farsiu

Farsiu

Associate Professor in the Department of Biomedical Engineering

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 segmentation 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.

Appointments and Affiliations

  • Associate Professor in the Department of Biomedical Engineering
  • Associate Professor in the Department of Ophthalmology
  • Assistant Professor in the Department of Electrical and Computer Engineering
  • Assistant Professor in the Department of Computer Science
  • Faculty Network Member of the Duke Institute for Brain Sciences

Contact Information:

Education:

  • University of California at Los Angeles, 2007
  • University of California at Los Angeles, 2005

Courses Taught:

  • BME 271: Signals and Systems
  • BME 394: Projects in Biomedical Engineering (GE)
  • BME 493: Projects in Biomedical Engineering (GE)
  • BME 494: Projects in Biomedical Engineering (GE)
  • BME 544: Digital Image Processing (IM or GE)
  • BME 791: Graduate Independent Study
  • ECE 392: Undergraduate Research in Electrical and Computer Engineering
  • ECE 493: Undergraduate Research in Electrical and Computer Engineering
  • ECE 494: Undergraduate Research in Electrical and Computer Engineering

In the News: