Amena Mahmoud

Amena Mahmoud is an academic researcher affiliated with Kafrelsheikh University, Faculty of Computers and Information, Egypt, where she has been actively contributing since 2020. Her work bridges computer science, artificial intelligence, and healthcare technologies, with a strong emphasis on medical imaging and diagnostic systems.

Her research focuses on developing advanced deep learning models for medical applications such as brain tumor classification and AI-driven detection of diseases like COVID-19 from lung CT scans. She also explores machine learning optimization techniques for clinical decision support in neurosurgery and applies IoT-based solutions to environmental challenges including air pollution and smart traffic management.

The publication trends indicate a strong focus on healthcare AI, medical image analysis, and intelligent systems with applications in both medicine and urban technology. Her work frequently appears in high-impact journals such as Expert Systems with Applications, PLoS ONE, and Symmetry.

Scientific Sponsorship:

• World Bank Group
• U.S. Department of Homeland Security
• United States Agency for International Development
• Deanship of Scientific Research, King Faisal University
• Vetenskapsrådet
• Science and Technology Development Fund
• Bundesministerium für Bildung und Forschung

She has secured funding from multiple international agencies, reflecting the global relevance of her research. Although no formal students are listed, her collaborative work suggests engagement in research teams. She has not received explicitly mentioned awards yet, but her publications demonstrate high academic influence and practical impact in public health and environmental sustainability.