Mohamed N. Moustafa

Mohamed N. Moustafa (Member, IEEE) received the Ph.D. degree in electrical and computer engineering from The City University of New York in 2001. He is currently an Applied Science Manager with Last Mile Geospatial, Amazon, Seattle, WA, USA, where he leads the Machine Learning Team building maps from multiple sources including satellite/aerial/street view imagery and other sensory data. Prior to joining Amazon, he was a Professor with The American University in Cairo, where he led many research projects applying deep learning methods in autonomous driving, human action recognition, and medical diagnosis among others. He has seven U.S. patents and coauthored more than 100 research papers published in international journals and conferences in the field of biometrics, computer vision, image analysis, and machine learning. He is a member of the IEEE Computational Intelligence Society, the IEEE Technical Committee on Pattern Analysis and Machine Intelligence, and the IEEE Smart Cities Committee.

Publications

Transforming Hand Gesture Recognition Into Image Classification Using Data Level Fusion: Methods, Framework, and Results
Transforming Hand Gesture Recognition Into Image Classification Using Data Level Fusion: Methods, Framework, and Results
Oluwaleke Umar Yusuf, Maki K. Habib, Mohamed N. Moustafa. © 2023. 40 pages.
Hand gesture recognition (HGR) is a form of perceptual computing with applications in human-machine interaction, virtual/augmented reality, and human behavior analysis. Within...