معرفی
Dr. Guang Yang is an Associate Professor in the Department of Bioengineering and Imperial-X at Imperial College London's Faculty of Engineering. His research focuses on AI-driven techniques for imaging and biomedical data analysis, particularly in translational healthcare applications such as fast imaging, federated learning, and generative AI. Current projects address challenges in cardiovascular disease, lung disease, and oncology. He leads the AYL Lab, emphasizing innovation, collaboration, and ethical AI practices.
Dr. Yang holds editorial roles across journals including npj Digital Medicine and Medical Image Analysis. He is a UKRI Future Leaders Fellow and has secured substantial funding (e.g., £1.7M UKRI Fellowship, £8.7M ERC H2020 grant). The lab includes 1 PI, 7 PDRAs, 14 PhD students, and 10+ MRes/MSc students, fostering a culture of professional growth and inclusivity.
His research interests span AI ethics, federated learning, explainable AI, and medical imaging applications. Recent work includes analyzing AI autophagy risks, drug discovery via machine learning, and non-invasive imaging techniques. Key collaborations involve industry partners and institutions like the Francis Crick Institute.
Teaching includes modules on trustworthy AI in medical imaging and image processing. Awards include IEEE Senior Member and SPIE Life Member statuses. The lab prioritizes mental health and work-life balance, promoting open communication and career development for members.
