Adnan Akhunzada

Adnan Akhunzada is a prolific researcher with extensive contributions to computer science, particularly in artificial intelligence, cybersecurity, and internet of things. His work spans deep learning architectures, software defined networks, and security frameworks for emerging technologies.

Research Interests include:

• Deep learning for micro-expression and image analysis
• Quantum control systems with reinforcement learning
• AI-based phishing and malware detection
• Federated learning for drone services
• Cryptographic protocols for UAV communications

Publication Trends show expertise in:

• Hybrid neural network architectures
• Cybersecurity for industrial IoT
• Privacy-preserving crowdsourcing
• Sign language recognition datasets
• 5G-assisted cognitive communication