Fadi A. Aloul

Fadi A. Aloul is an academic at the American University of Sharjah, UAE, with a focus on computer science and cybersecurity. His research spans

• Boolean satisfiability
• Machine learning applications
• IoT and mobile security
• Chaotic system modeling

He has collaborated extensively on FPGA implementations, intrusion detection, and health monitoring systems.

Research Trends: Recent work emphasizes machine learning for cybersecurity (e.g., Android malware detection, IoMT threat mitigation) and FPGA-based chaotic models for medical/disease simulation. Earlier studies highlight symmetry-breaking algorithms in satisfiability problems and mobile health applications.

Collaborations: Co-authored with

• Imran A. Zualkernan
• Assim Sagahyroon
• Ahmed S. Elwakil
• Wassim El-Hajj

across institutions in UAE, USA, and Egypt.