Abdel Badeeh Salem
Papers
1
Total Citations
3
H-Index
1
About
Abdel Badeeh Salem is a pioneering figure in artificial intelligence and biomedical informatics, whose work bridges computational intelligence with real-world safety systems. His research spans intelligent control systems, deep learning applications, and medical expert systems, with a particular focus on autonomous vehicle safety and healthcare diagnostics. Among his notable contributions is the development of a hybrid LiDAR/radar-based deep learning engine for autonomous vehicle pre-crash control, addressing the critical challenge of collision avoidance at intersections in real-time environments. This work, though early in its citation trajectory with 3 citations, demonstrates his forward-thinking approach to integrating sensor fusion with adaptive AI controllers. Salem's broader impact is reflected in his extensive publication record on intelligent systems for medical diagnosis, pattern recognition, and knowledge-based engineering. He has been instrumental in advancing the application of artificial intelligence in developing countries, serving as a mentor and editor for numerous international journals and conferences. His research continues to influence the next generation of AI engineers working at the intersection of autonomous systems and human safety.
Research Focus
Key Achievements
Top Papers
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