Mohamed Moustafa received his PhD in electrical engineering from the City University of New York in 2001 and has since remained active in the industry. From 1998 to 2003, he worked as a senior principal research scientist at L-1 Identity Solutions, a corporate research center in New Jersey, U.S. (now part of Morpho, France). At the center, he conducted research in specific aspects of computer vision algorithms for human facial recognition, including face detection at a distance, tracking, pose estimation and pose compensation. Since 2003, he has worked as a consultant to multinational companies including L-1 in the United States, and other companies in Germany and France, where he led multiple projects, embedded face detection into major Japanese manufacturer digital cameras, invented an efficient way to estimate the face pose angle from a face image, and built a 3D face model from a single 2D input face image. In 2011, Moustafa joined The American university in Cairo as an associate professor with the computer science and engineering department. He is a member of the IEEE, the IEEE Computational Intelligence Society, the IEEE Technical Committee on Multimedia Computing, and the IEEE Technical Committee on Pattern Analysis and Machine Intelligence. Moustafa holds four issued U.S. patents in the field of biometrics and computer vision. He has co-authored more than 45 research papers published in international journals and conferences. For more details, please refer to his profile at research gate

Moustafa's research interests include biometrics, computer vision, deep learning, machine intelligence, neural networks, genetic algorithms and embedded software development. He is currently teaching graduate courses: Neural Networks and Genetic Algorithms, Pattern Analysis, and Computer Vision, in addition to the undergraduate courses Fundamentals of Computer Vision, Practical Machine Deep Learning, and Digital Signal Processing.