Asmaa A. Hekal earned her Ph.D. in Electronics and Communication Engineering, with a specialization in computer vision and artificial intelligence. Her research focuses on applying AI and deep learning techniques to medical image analysis and intelligent systems, with major contributions in breast cancer classification, brain tumor segmentation and classification, fetal head circumference estimation, and pneumonia detection. She has also led advanced projects on pulmonary embolism segmentation in CT scans, real-time polyp segmentation in colonoscopy videos, and age-invariant face recognition. Additionally, she has developed AI-driven recommendation systems and image similarity search models, showcasing expertise in deep neural networks, machine learning, and computer vision. Beyond her research, Dr. Hekal is an engaging lecturer who mentors and inspires future engineers and AI researchers. She is actively involved in quality assurance processes, accreditation standards, and curriculum development to ensure the continuous improvement of academic programs. In addition to teaching, she serves as a peer reviewer for leading journals and is committed to advancing innovative, data-driven solutions that bridge engineering, AI, and emerging technologies.