معرفی
Giovanni Luca Masala is a Senior Lecturer in the School of Computing at the University of Kent, Canterbury, UK. His verified institutional email is g.masala@kent.ac.uk, and he maintains an active ORCID profile (0000-0001-6734-9424).
Dr. Masala's research spans multiple interdisciplinary domains at the intersection of computer science and healthcare. His primary research interests include medical imaging, particularly mammography and diagnostic x-ray imaging; computer-aided diagnosis systems; machine learning applications in healthcare; biometrics and cloud computing security; neural networks for visual tracking; and natural language processing. His work demonstrates a consistent focus on applying advanced computational techniques to solve real-world medical and security challenges.
Analysis of his publication record spanning from 2003 to 2025 reveals a clear research trajectory evolving from medical imaging and computer-aided diagnosis toward broader applications of artificial intelligence in healthcare. Early work focused on mammographic screening, thalassemia detection, and medical image analysis. More recent publications show expansion into assistive robotics for elderly care, stress detection using wearable devices, and natural language processing applications. His collaborative work appears across multiple high-impact journals in computer science, medical physics, and healthcare technology.
Dr. Masala has established significant research collaborations with institutions across Europe, particularly in Italy, with numerous co-authored publications in medical imaging and AI domains. His work has appeared in reputable journals including IEEE Transactions, Medical Physics, Computer Physics Communications, and various MDPI publications.
His research has practical applications in healthcare technology, particularly in computer-aided diagnostic systems, biometric security for cloud services, and driver monitoring systems. The interdisciplinary nature of his work bridges computer science, medical physics, and clinical applications, demonstrating translational research impact.
