Yanda Meng
- Principal Investigator, Bioengineering
Yanda Meng designs AI models to improve medical imaging and clinical decision-making.
Biography
Yanda Meng is an assistant professor of bioengineering at KAUST, where his research focuses on developing advanced artificial intelligence methods for healthcare and biomedical sciences. Prior to joining KAUST, he held a lectureship in computer science at the University of Exeter and completed postdoctoral and doctoral training in eye and vision science at the University of Liverpool. He has published extensively in leading venues across medical imaging and AI, securing multiple external grants as a principal investigator and contributed to impactful clinical collaborations. Meng also serves in several leadership and editorial roles, including as an associate editor of Frontiers in Medicine (Ophthalmology), Guest editor for multiple journal special issues, and area chair for MICCAI 2025.
Research Interests
Meng’s research focuses on AI methods for healthcare, with an emphasis on medical imaging, multimodal learning, and trustworthy machine learning. His work integrates visual, clinical, and physiological data to improve disease detection, diagnosis, and risk prediction. He specializes in creating robust and reliable AI systems that can work effectively with the complexity of real biomedical data. Ultimately, his research aims to build interpretable and impactful technologies that support clinicians and enhance patient care across diverse healthcare settings.
Education
- Bachelor of Engineering (B.Eng.)
- Computer Science, Capital Normal University, China, 2017
- Master of Science (M.S.)
- Computer Science, University of Leeds, United Kingdom, 2018
- Doctor of Philosophy (Ph.D.)
- Eye and Vision Science, University of Liverpool, United Kingdom, 2022