Mohamed I. Ibrahem

Mohamed I. Ibrahem is an active academic researcher specializing in cybersecurity applications for smart grid infrastructure and Internet of Things systems. His work bridges computer science, electrical engineering, and artificial intelligence with a particular focus on privacy-preserving techniques and secure machine learning applications.

Dr. Ibrahem's research interests center on smart grid security, where he has developed innovative approaches for electricity theft detection, false data injection prevention, and privacy-preserving monitoring systems. His work in federated learning security addresses critical vulnerabilities in distributed machine learning systems, particularly against Trojan attacks and evasion techniques. Additional research areas include explainable AI applications in healthcare diagnostics, IoT security mechanisms, and deep learning optimization for resource-constrained environments.

His recent publication trends reveal a growing emphasis on practical security implementations for real-world energy infrastructure, with increasing attention to explainability and robustness in AI-driven security systems. The interdisciplinary nature of his work connects cybersecurity principles with specific domain challenges in power systems and healthcare applications.

Dr. Ibrahem has secured research funding for multiple projects focused on smart grid protection systems and privacy-preserving machine learning frameworks, though specific grant details are not visible in the publication metadata. His collaborative research network spans multiple international institutions with strong connections to Middle Eastern universities.