Khalid Mahmood

Khalid Mahmood is an academic researcher with a strong focus on interdisciplinary applications of Computer Science and Engineering, particularly in domains such as Deep Learning, Optimization Algorithms, and IoT. He has co-authored numerous studies in journals like IEEE Access and IEEE Transactions on Consumer Electronics, addressing challenges in medical imaging, smart farming, cybersecurity, and smart cities.

Research trends in his publications include:

• Integration of quantum computing with AI for enhanced security frameworks in IoT and metaverse applications.
• Application of optimization algorithms (e.g., Aquila, Jaya, Red Fox) to improve deep learning and graph neural network performance.
• Development of computer vision solutions for medical diagnosis (e.g., laryngeal cancer) and agricultural classification (e.g., soil types).

His work emphasizes practical solutions for smart infrastructure, with applications in industry 5.0, smart grids, and cyber-physical systems.