Feras is a committed Computer Vision and Sensor Fusion Engineer. His academic pursuits, exploring areas such as Computer Vision, Sensor Fusion, physics-informed AI, Edge AI, and real-time systems, are documented in his master's thesis and various academic publications. Feras combines practical application with theoretical understanding in AI, computer vision, sensor fusion, and real-time embedded systems, contributing to these rapidly evolving fields. He holds a Master of Science in Computer Science and a Bachelor of Science in Mechatronics Engineering from California State University, Chico.
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M.Sc. in Computer Science
Thesis: Experimental Design for Comparative Analysis of Sensor Fusion Based Dynamic State Estimation with Traditional and Deep Learning Methods.
California State University, Chico
B.Sc. in Mechatronics Engineering
Minor: Computer Engineering
California State University, Chico