Mohamed A. Khamis

Egypt-Japan University of Science and Technology

Papers

Total Citations

H-Index

About

Dr. Mohamed A. Khamis is a researcher whose work lies at the intersection of signal processing and intelligent transportation systems, with a particular focus on leveraging computational methods to enhance public safety. His most notable contribution is the development of a Fast Fourier Transform (FFT)-based method for accident detection, a novel approach that prioritizes speed and accuracy in identifying vehicular collisions. This work addresses a critical bottleneck in emergency response: the time between an accident and the dispatch of services. By proposing a system that can rapidly analyze sensor data using FFT, Dr. Khamis aims to reduce reliance on specialized, rugged hardware, potentially making accident detection more accessible and cost-effective. While his 2022 paper has garnered 2 citations, its conceptual foundation—applying spectral analysis to real-time safety monitoring—marks a promising direction for future research. His contributions are particularly relevant for students and engineers interested in embedded systems, digital signal processing, and the practical application of algorithms to save lives in smart city environments.