Syed Taimoor Hussain Shah serves as a PostDoc Researcher within the GALATEA Project at Politecnico di Torino, Italy. He has completed his PhD under the PARENT project, which is funded by the European Union’s Horizon 2020 initiative. He is based at the Politecnico di Torino in Turin, Italy. Shah earned a Master of Science in Computer Science from the Pakistan Institute of Engineering and Applied Sciences and a Bachelor of Science in Computer Science from Bahauddin Zakariya University. His current focus involves contributing to various projects aimed at developing computational explainable-AI engines. These engines are designed to predict the evolution of pathology based on clinical, biological patient variables, and imaging data, with a focus on adults and neonates. Shah’s research interests encompass machine learning, deep learning, and pattern recognition with an emphasis on computer vision. He has contributed to the academic landscape with published works, including original articles and conference papers in esteemed peer-reviewed journals such as Frontiers, MDPI, IEEE, Springer, and CEUR Workshop Proceedings. Shah’s specific research endeavours extend to areas such as facial feature extraction, characterization, and identification in both adults and infants. Additionally, his interests include hyperspectral imaging, pattern classification, and recognition, as well as other facets of biomedical and automated computer vision, machine learning, and deep learning systems.