Assistant Professor and Associate Head, 2018
Ph.D. in Computer Science and Engineering, Ewha Womans University, Korea (2008)
Research: Biomedical Image Analysis, Machine (Deep) Learning, Computer Vision, Computational Neuroscience
Teaching: Digital Image Processing, Deep Learning in Computer Vision, Software Engineering (grad)
Dr. Kim’s research interests are mainly in developing cutting-edge image analysis methods for the interdisciplinary field between computer science and biomedicine. Imaging data has become the most powerful tool in biomedicine due to the advancement of high-resolution imaging technology and the increasing variety of imaging modalities. She aims to apply state-of-the-art computer science technologies, for example, machine/deep learning, pattern recognition, computer vision, visualization, and graph theory, to various clinical and preclinical research imaging data to study biomedical fundamentals from computer scientists’ view. Such techniques can be adapted to healthcare practices and biomedical research for automated image reading/quantification, computer-assisted diagnosis at an earlier time as well as predictive modeling for clinical outcome.
Dr. Kim’s research has been supported by NIH, Google Education, and the Ministry of Science and Technology of Korea.
Dr. Kim received her B.S., M.S. and Ph.D. degrees in Computer Science Engineering from Ewha Womans University, Seoul, Korea. Before she joined University of North Carolina at Greensboro in 2018, she was a postdoctoral researcher and research associate in Biomedical Research Imaging Center (BRIC) and Department of Radiology, University of North Carolina at Chapel Hill since 2009. She was also a visiting researcher in University of Pennsylvania, Fraunhofer-IGD (Germany) and University of Hamburg-Eppendorf (Germany).