Muhammad Rizwan

Muhammad Rizwan is a Lecturer in Computer Science at the College of Science and Engineering. His research focuses on advanced communication technologies, cybersecurity, and AI-driven healthcare solutions. He has published extensively on topics including 5G networks, IoT security, and medical imaging.

Key research areas include device-to-device communication, federated learning in healthcare, and anomaly detection in industrial systems. His work frequently intersects machine learning, blockchain, and smart city infrastructure. Over 50 publications span journals like Journal of Network and Computer Applications and IEEE Access, with notable attention to cybersecurity frameworks and medical AI applications.

Rizwan’s recent articles highlight trends in game-theoretic network optimization, transfer learning for intrusion detection, and AI ethics in cognitive health assessment. His contributions address challenges in healthcare telemonitoring, vehicular ad-hoc networks, and blockchain-based security protocols.

He has collaborated internationally on projects involving smart transportation systems, wearable health monitoring, and green communication technologies. His research emphasizes practical solutions for real-world challenges in IoT, cybersecurity, and healthcare innovation.