Syed Taimoor Hussain Shah is a Postdoctoral Researcher at the Politecnico di Torino, Italy, working on the GALATEA project funded by the European Union's Horizon Europe Marie Skłodowska-Curie Actions (Grant Agreement No. 101183057). He previously completed his PhD in Biomedical Engineering at Politecnico di Torino as an Early Stage Researcher in the PARENT project under the EU Horizon 2020 Marie Skłodowska-Curie Innovative Training Network. He also holds an M.S. in Computer Science from the Pakistan Institute of Engineering and Applied Sciences and a B.S. in Computer Science from Bahauddin Zakariya University. His research focuses on artificial intelligence, computer vision, biomedical imaging, explainable AI, multimodal learning, and digital health, with applications in neonatal, cardiovascular, and neurological medicine. His work integrates medical imaging, physiological signals, and clinical data to develop AI models for diagnosis, prognosis, and clinical decision support. His research interests include machine learning, deep learning, medical image analysis, ECG interpretation, neonatal movement analysis, facial analysis, and trustworthy AI. He has authored more than 20 peer-reviewed journal and conference publications in leading international venues, including IEEE, Elsevier, Springer, Frontiers, MDPI, SoftwareX, and the European Heart Journal, and actively collaborates on interdisciplinary AI-driven healthcare research.