Dr. Ruogu Fang is an Assistant Professor of the School of Computing and Information Sciences at Florida International University in Miami, FL.
Dr. Fang received her Ph.D. degree in Electrical and Computer Engineering from Cornell University in 2014 working under Tsuhan Chen, and Bachelor’s degree from Zhejiang University with the highest honor in 2009. Dr. Fang’s research interests focus on big medical data, brain dynamics, health informatics, machine learning and data mining. She is the recipient of numerous grants, honors and awards, including NSF CRII (pre-CAREER) award as PI, ORAU’s Ralph Lowe Young Faculty Enhancement Award, Robin Sidhu Memorial Young Scientist Award from Society of Brain Mapping and Therapeutics, Best Paper Award at IEEE International Conference on Image Processing, Hottest Paper in Medical Image Analysis, Hsien Wu and Daisy Yen Wu Memorial Award and Irwin and Joan Jacobs Fellowship, to name a few. She has published over 30 peer-reviewed articles, including flagship journals such as IEEE Transaction on Medical Imaging, Medical Image Analysis, ACM Computing Survey, etc. She served as the Co-Chair of the International Workshop on Sparsity Techniques in Medical Imaging, and the Guest Editor of the Journal Computerized Medical Imaging and Graphics. Prof. Fang’s Smart Medical Informatics Learning and Evaluation (SMILE) Lab aims to explore intelligent approaches to bridge the data and medical informatics in the era of big medical data.
Honors and Awards
2016 NSF CRII (pre-CAREER) award as PI
2016 ORAU’s Ralph Lowe Young Faculty Enhancement Award
2016 Robin Sidhu Memorial Young Scientist Award, Society of Brain Mapping and Therapeutics
2014 Hsien Wu and Daisy Yen Wu Memorial Award
2013 Top Hottest Paper, Journal of Medical Image Analysis
2010 Best Paper Award, IEEE International Conference on Image Processing
2009 Irwin and Joan Jacobs Fellowship, Cornell University