Ruogu Fang

Ruogu Fang is an Associate Professor in the Department of Biomedical Engineering at the University of Florida and holds the J. Crayton Pruitt Family Term Fellowship. Her research bridges artificial intelligence and neuroscience, focusing on AI-driven precision brain health and bio-inspired AI systems. She leads the SMILE Lab, pioneering AI models for analyzing brain disorders using big medical data.

Dr. Fang holds a B.S. in Information Engineering from Zhejiang University (2009) and a Ph.D. in Electrical and Computer Engineering from Cornell University (2014). Her work emphasizes machine learning applications in medical imaging, including Alzheimer’s diagnosis, CT perfusion analysis, and neuroimaging-driven interventions.

• Research Themes: AI for brain health, brain-inspired AI, medical image analysis
• Key Techniques: Deep learning, generative adversarial networks, domain adaptation

Her awards include the NSF CISE Research Initiation Initiative Award (2015), ACM Future Computing Academy (2017), and multiple university recognitions. Her lab develops tools like the DOMINO framework for domain-aware medical image segmentation and BrainFounder for neuroimaging foundation models.

Current projects include personalized tDCS digital twins for brain stimulation and AI-driven analysis of retinal images for neurological disease prediction. Collaborative efforts span clinical partnerships in precision medicine and healthcare equity initiatives.