Mohamed F. Tolba

Mohamed F. Tolba is a Professor at Ain Shams University in Cairo, Egypt, affiliated with the Department of Scientific Computing within the Faculty of Science. He also maintains a research affiliation with Nile University's NISC Research Center in Giza, Egypt. His career spans over two decades of active research and publication in computational intelligence and its applications.

Dr. Tolba's research interests focus on the intersection of artificial intelligence and practical applications, particularly in medical imaging, bioinformatics, and computer vision. His work demonstrates expertise in deep learning architectures, neural networks, and image processing techniques applied to medical diagnostics and biological data analysis. He has made significant contributions to cancer detection systems, EEG signal processing, and hyperspectral image classification.

His recent publications (2023-2025) reveal a strong trend toward developing specialized deep learning models for medical applications, including cancer classification, Parkinson's disease diagnosis, and medical image analysis. He frequently collaborates with researchers in Egypt, particularly with Howida A. Shedeed, Hala Mousher Ebeid, and Aboul Ella Hassanien, producing numerous high-impact publications in international conferences and journals.

Dr. Tolba has been instrumental in organizing and contributing to major conferences in his field, including the International Conference on Advanced Intelligent Systems and Informatics (AISI), where he has served as editor and contributor to conference proceedings.