Convolutional Neural Networks (CNNs) have revolutionized the field of deep learning, particularly in computer vision and image processing. Their ability to automatically learn hierarchical representations from data has made them the cornerstone of many advanced applications, including object detection, image classification, and medical image analysis. As research in this area continues to evolve, numerous opportunities arise for exploring novel architectures, optimization techniques, and applications of CNNs in various domains.This series of PhD projects focuses on leveraging the power of CNNs to address real-world challenges and advance the state of the art in multiple fields, including healthcare, autonomous systems, and augmented reality.The focus on both theoretical advancements and practical implementations will prepare researchers to tackle critical challenges in the evolving field of artificial intelligence.