Biography
Dr. Khaled is a researcher and academic specializing in deep learning and computer vision, with applications in medical imaging and image manipulation detection. Before joining academia, he worked as a software engineer, where he led teams and projects focused on system development and applied machine learning.
His research focuses on developing efficient and interpretable deep learning architectures, particularly involving attention mechanisms, transformer-based models, and image segmentation for healthcare and digital forensics applications. He has developed systems for age estimation, GAN-generated image detection, colorectal polyp segmentation, and specular reflection correction in medical images.
Dr. Khaled has served as a peer reviewer for several international journals, including IEEE Access, the IEEE Journal of Biomedical and Health Informatics, and Neural Computing and Applications.
