In Vision Computation Lab, we employ an interdisciplinary approach to (1) better understand how our visual system encodes the visual world and decodes relevant information in a statistically or information-theoretically optimal sense to form our visual perception (visual coding and computation); and (2) develop image processing and computer vision algorithms inspired by strategies from biological vision for enhancement of machine vision and imaging systems (neuro-inspired computational vision).
Dr. Neda Nategh is currently an Assistant Professor of Electrical and Computer Engineering, and Research Assistant Professor of Ophthalmology and Visual Sciences with the University of Utah. She received her Ph.D. in electrical engineering, her M.Sc. in electrical engineering, and her M.Sc. in statistics, all from Stanford University, and her B.Sc. in electrical engineering from Sharif University of Technology. She also holds a certificate in Biophysics and Computation in Neurons and Networks from the Neuroscience Institute at Princeton University.