Dr Chengjia Wang earned his Ph.D. degree in machine learning-based medical image analysis from University of Edinburgh, co-funded by Toshiba Medical visualization System. He joined the BHF Centre for Cardiovascular Science, The University of Edinburgh, as a Scientist in Machine Learning, in 2016. His main research interests include AI in IoT, medical robotics, machine/deep learning for multi-modality data, deep graphic models, explainable and trustworthy AI for clinical applications.
Research keywords:
Machine learning, medical imaging, computer vision
Theme:
Vision and Perception
Machine Learning and AI (inc. multi-agent systems)
Robot Design and Soft Robotics
Bioinspired Approaches
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