معرفی
Dr. Xinhui Ma is a Lecturer in the School of Computer Science at the University of Hull, part of the Faculty of Science and Engineering. His research focuses on eXtended Reality (XR), Artificial Intelligence (AI), Digital Twin technology, and their applications in Digital Health, Green Energy, and Advanced Manufacturing. He holds a PhD from the University of Birmingham and has received the Wellcome Trust Seed Award in Science (2017). Dr. Ma teaches modules including Reality Time Graphics, 3D Computer Graphics, and Mixed Reality Development. He is a Fellow of the Higher Education Academy (2013) and serves as an EPSRC peer reviewer.
- Education: PhD in Computer Science from the University of Birmingham (completed).
His research interests include Virtual Reality, Mixed Reality, Responsible AI, Explainable AI, Deep Learning, and CAD/CAM. Dr. Ma leads projects such as the 'Digital Twin through Physics-Informed Deep Learning for Offshore Wind Turbine Gearing Fault Diagnosis and Prognosis' (2024) and co-leads the 'Mortality Risk Prediction of ICU Patients with Sepsis' (2023). He is affiliated with the Virtual Augmented Reality and Simulation (VARS) research group.
Dr. Ma supervises PhD students in Digital Twin applications, including Eamonn Tuton (Aura CDT project on offshore wind farms) and Haider Alkaraawi (Machine Learning for Cancer Care). His work spans academic collaborations with institutions like the Wolfson Foundation and the Royal Society.
- Key Projects:
- Wolfson Equipment bid for confocal imaging (2024–2029)
- Wellcome Trust-funded maxillofacial growth analysis (2017–2019)
His contributions bridge AI, XR, and real-world challenges in healthcare, energy, and manufacturing, emphasizing ethical AI practices and interdisciplinary collaboration.
