Shangming is the Full Professor in AI for Healthcare & Medicine with the Centre for Health Technology, Faculty of Health, University of Plymouth. He is also affiliated with the HDR UK Wales and Northern Ireland Site. His research was funded by HDRUK, MRC, EPSRC, HCRW, charity, and international collaborations.
His scholarly interests focus on AI in health and biomedical informatics: data-driven health-related studies using techniques, such as machine learning/deep learning, natural language processing, computational intelligence (artificial neural networks, fuzzy logic, nature-inspired computing etc), predictive analytics and data mining.
He is particularly interested in trustworthy and responsible medical/health AI systems, such as explainable/transparent machine learning (deep learning) and AI for electronic health records and –omics data analytics, and creation of innovative methods to extract personally useful information, such as rules and patterns, concerning lifestyles and health conditions from routine health related data to promote healthier lifestyles and prevent disease.
The medical conditions to which he is particularly interested in applying AI techniques include, but are not limited to, the chronic disease (such as cancer, dementia, asthma, diabetes, multiple sclerosis, mental health conditions etc.)