معرفی
Chengjia Wang is an Assistant Professor at the School of Mathematical & Computer Sciences, Heriot-Watt University, within the Computer Science department. He joined the Edinburgh Centre for Robotics in 2021 after working at the BHF Centre for Cardiovascular Science (CVS), University of Edinburgh. He holds a PhD from the University of Edinburgh and Toshiba Medical Visualization System, funded by the Scottish Universities Physics Alliance (SUPA). His education includes a European Erasmus Mundus Master in Vision and Robotics, along with two MSc degrees from Heriot-Watt University and the University of Burgundy. His research focuses on deep learning, medical imaging, and AI applications in healthcare, contributing to UN Sustainable Development Goals.
His research interests span medical image analysis, machine learning methodologies, and their applications in healthcare diagnostics. Recent work includes studies on bone marrow adiposity using deep learning and genome-wide association analyses, as well as reviews on attention mechanisms in medical imaging. He is actively involved in editorial roles, such as with Frontiers in Computational Neuroscience, and has published widely on topics like image segmentation, graph neural networks, and cross-modal learning frameworks.
No scientific awards are explicitly mentioned in the provided texts. Dr. Wang is accepting PhD students and has contributed to collaborative projects at the intersection of robotics, cardiovascular science, and computational neuroscience. His work emphasizes interdisciplinary approaches to advancing medical AI and healthcare technology.
