Ahmed Ghoneim

King Saud University, Menoufia University

Papers

3

Total Citations

209

H-Index

3

About

Ahmed Ghoneim is a leading researcher at the intersection of healthcare, artificial intelligence, and cybersecurity, with a primary focus on developing secure, intelligent systems for the Internet of Things (IoT). His most influential work, "Software Defined Healthcare Networks" (2015), has garnered 125 citations and addresses the critical need for real-time health management systems using wearable technology and robotics, particularly for aging populations. Ghoneim’s contributions extend to emotion-aware multimedia systems, where his 2018 paper (74 citations) pioneers the secure integration of deep learning and machine learning for continuous emotional care, tackling the significant challenge of protecting sensitive emotional data privacy. His recent exploration of smart autonomous moving platforms (2020) further demonstrates his commitment to advancing AI-driven solutions in complex environments, leveraging computer vision and cognitive computing. Through these works, Ghoneim has established himself as a key figure in creating robust, privacy-preserving frameworks that enable the next generation of healthcare and autonomous systems, making his research essential for students and professionals working at the nexus of AI, IoT, and security.

Research Focus

Key Achievements

3
H-Index
3
Papers
209
Total Citations
70
Avg Citations/Paper
🏆 Most Cited Paper
Software defined healthcare networks
125 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: King Saud University, Menoufia University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago