Won Hwa Kim, Ph.D, is an Assistant Professor in Computer Science and Engineering at the University of Texas, Arlington. His research is focused on developing novel methods in Machine Learning and Computer Vision in the context of their applications in neuroimaging, neuroscience and healthcare. Specifically, he is interested in multi-resolution analysis of data that live in non-Euclidean spaces. This research thrust is motivated by the observation that a broad variety of statistical inference tasks on signals/functions can be made far more effective using a multi-resolution view of measurements. Many of his works are presented in top-tier AI conferences such as NIPS, CVPR, ICCV, ECCV as well as in Neuroimaging journals such as Neuroimage.
- 2017 Ph.D in Computer Sciences (Statistics), University of Wisconsin-Madison
- 2010 M.S. in Robotics , KAIST
- 2008 B.S. in Electrical and Electronics Engineering , Sungkyunkwan University
Jan 2018 to
University of Texas, Arlington
- Jan 2018 to Present Assistant Professor
Feb 2010 to
Hyundai Motors Company
- Feb 2010 to July 2011 Research Engineer
CSE 6363-001MACHINE LEARNING
This course is for graduate-level students to study background in the methodologies, mathematics and algorithms in machine learning or who may need to apply machine learning techniques to scientific applications (e.g. computer vision, bioinformatics, data mining, information retrieval, natural language processing, etc).
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