Ciro Russo is a Postdoctoral Researcher in Artificial Intelligence at the University of Cassino and Southern Lazio, Italy. He received his Ph.D. in “Methods, Models and Technologies for Engineering”, with research focused on deep learning and medical image analysis. His research activity centers on computer vision and AI for healthcare, with particular interest in small lesion detection, computational cytology, neuroimaging, multimodal learning, and explainable AI. He is the Principal Investigator of the PNRR-funded MINERVA project, which investigates AI-driven systems for early disease detection through the integration of imaging and clinical data. His research combines methodological advances in detection frameworks, representation learning, and data-centric AI with applications in clinical decision support and computational pathology. Dr. Russo has authored and co-authored contributions in international journals and conferences, including Pattern Recognition, Artificial Intelligence in Medicine, and IEEE conference proceedings in medical imaging and computational intelligence. He is also actively involved in the organization of workshops and special sessions at international conferences focused on Artificial Intelligence, medical imaging, and healthcare technologies. He is a member of the IEEE and the CVPL scientific society. His current research interests include medical image analysis, multimodal AI systems, computational cytology, representation learning,