Neda Nategh, Ph. D.

Assistant Professor | Electrical & Computer Engineering

Neda Nategh, Ph.D.

Areas of Interest

Vision Science; Systems and Cognitive Neuroscience; Computational Neuroscience; Neuroengineering; Applied Probability and Statistics; Signal, Image, and Information Processing; Computational and Mathematical Modeling

Research Areas

Computational Neuroscience; Image Processing; Machine Vision; Statistical Machine Learning

Teaching Areas

Statistical Signal Processing; Digital Signal Processing

Background

Dr. Nategh joined the Montana State ECE faculty in January of 2014. 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 Neuroscience Institute at Princeton University. Dr. Nategh teaches in the areas of statistical and digital signal processing and conducts research in the areas of signal, image, and information processing, statistical learning, and machine learning, with particular emphasis on computational neuroscience, optics, imaging systems, biological and machine vision.

Prior to coming to MSU, Dr. Nategh worked as a research intern in the Audio/Video Tech team–Camera Algorithm group at Apple, Inc. She has been granted one US patent in the area of pattern recognition. Dr. Nategh also worked as a research assistant in Neurobiology Department, Computer Science Department, and Stanford Genome Technology Center, all at Stanford University.