Session 3 Keynote 2

An AI researcher in medicine and healthcare, Dr. Ruogu Fang is a tenured Associate Professor in the J. Crayton Pruitt Family Department of Biomedical Engineering at the University of Florida. Her research theme is artificial intelligence (AI)-empowered precision brain health and brain/bio-inspired AI. She focuses on questions such as: How to use machine learning to quantify brain dynamics, early diagnose Alzheimer's disease through novel imagery, predict individualized treatment outcomes, and design precision intervention. Fang's current research is rooted in the confluence of AI and multimodal medical image analysis. She is the PI of NIH NIA RF1 (R01-equivalent), NSF Research Initiation Initiative (CRII) Award, NSF CISE IIS Award, Ralph Lowe Junior Faculty Enhancement Award from Oak Ridge Associated Universities (ORAU). She has also received numerous recognition. She was selected as the Inaugural recipient of the Robin Sidhu Memorial Young Scientist Award from the Society of Brain Mapping and Therapeutics, Best Paper Award from the IEEE International Conference on Image Processing, University of Florida Herbert Wertheim College of Engineering Faculty Award for Excellence in Innovation, UF BME Faculty Research Excellence Award, among others. Fang's research has been featured by Forbes Magazine, The Washington Post, ABC, RSNA, and published in Lancet Digital Health. Her research has been supported by NSF, NIH, Oak Ridge Laboratory, DHS, DoD, NVIDIA, and the University of Florida. Dr. Fang directs SMILE lab, standing for Smart Medical Informatics Learning and Evaluation, which also reflects her aspiration for every member in the lab to smile while exploring artificial intelligence in precision brain health.