Shuyan Li

Shuyan Li is a Lecturer at the School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast. Her research focuses on foundational computer vision methods and their healthcare applications, including unsupervised learning, multi-modal learning, and medical imaging analysis. She actively mentors early-career researchers through the Cambridge Trinity College Postdoctoral Mentorship Program and serves as Director of the Tsinghua Alumni Association (UK) and Secretary-General of the UK Association of Distinguished Young Scholars.

Education Background: While specific degree details are not explicitly listed, Dr. Li has received prestigious awards such as the First Prize Scholarship (Tsinghua University, 2020) and the National Scholarship (Ministry of Education, PRC, 2013), indicating a strong academic foundation.

Research Interests: Central themes include unsupervised learning, digital twins for construction and healthcare, video understanding, representation learning, and domain adaptation. Her work bridges theoretical advancements and practical applications, such as medical image translation and point cloud-based building digitization.

Awards and Recognition: Key achievements include the Athena Postdoctoral Fellowship (NSF AI Research Center), Forbes’ Top 100 Most Influential Chinese (2024), and the Excellent Doctorate Dissertation Award (2023). She is also a Guest Editor for Innovation and Technology of Computer Vision.

Advising & Grants: Currently supervising PhD students Ben Redden (UK) and Shurui Xu (China). She offers multiple funded PhD opportunities, including EPSRC and CSC scholarships, and collaborates with institutions like Cambridge and UCL.

Labs & Collaborations: Active in interdisciplinary projects involving digital twin construction, medical AI, and point cloud analysis. Recent collaborations include work with the University of Cambridge on digital construction modules and Newcastle University on AI-driven data analysis.