Abdelhameed Ibrahim

Abdelhameed Ibrahim is an active academic researcher with a focus on optimization algorithms, machine learning, and their applications in healthcare, environmental science, and engineering. His work spans over 15 years, with contributions to nature-inspired metaheuristics, image processing, and predictive modeling. He frequently collaborates with institutions on projects involving cancer detection, energy forecasting, and medical diagnostics.

• Key areas: Optimization algorithms, medical imaging, renewable energy prediction, and machine learning frameworks.
• Notable collaborations include work on Greylag Goose Optimization and Al-Biruni Earth Radius algorithms.

Research interests emphasize interdisciplinary applications, such as solar energy harnessing, rainfall forecasting, and electric vehicle recommendation systems. His methodologies often integrate advanced computational techniques with real-world problem-solving.