Mohamed Baza

Mohamed Baza is a Senior Professor at the College of Charleston, specializing in cybersecurity, blockchain technology, and machine learning. His research focuses on federated learning security, particularly countermeasures against model poisoning attacks in blockchain-based systems, as well as anomaly detection in Controller Area Network (CAN) protocols for modern vehicles. His recent work includes zero-day electricity theft detection using prototype and ensemble learning, dynamic network behavior analysis in Android applications, and vision-based fall detection using YOLOv8.