I am an Assistant Professor in Computer Science and Engineering at the University of Texas, Arlington.
Before joining UTA, I completed my Ph.D in Computer Sciences, University of Wisconsin - Madison in Aug. 2017 thanks to great support from
Prof. Vikas Singh (advisor)
and close collaboration with Prof. Moo K. Chung, Prof. Sterling C. Johnson and Prof. Barbara B. Bendlin and worked as a researcher at NEC Lab., America in Princeton, NJ. Please find my CV here.
I am looking for self-motivated Ph.D students interested in Machine Learning, Computer Vision and Medical Imaging research. Please contact me at firstname.lastname@example.org.
Jul. 22, 2019: We have one paper accepted in ICCV 2019.
Mar. 27, 2019: My proposal to Research Enhancement Program at UTA got accepted.
Oct. 10, 2018: We have a journal paper accepted to NeuroImage: Clinical.
Sep. 19, 2018: We have a journal paper accepted to Brain Connectivity.
Aug. 2, 2018: Our grant submssion to C-TEDD from US Department of Transportation get funded.
Jan. 16, 2018: I am joining University of Texas, Arlington as an Assistant Professor in Computer Science and Engineering.
Sep. 1, 2017: I am joining NEC Labs., America as a researcher in Data Science Team.
Aug. 11, 2017: I succesfull defended! My thesis title is ``A Multi-resolution Framework for Statistical Analysis of Neuroimaging Data''.
Feb. 28, 2017: I have a paper accepted in CVPR 2017 (in Honolulu).
Jul. 11, 2016: I have a paper accepted in ECCV 2016 (in Amsterdam).
My research interests lie in multi-resolution analysis of data for various applications in Brain Imaging,
Machine Learning and Computer Vision. On the application side, I am particularly interested in developing novel methods
to facilitate the analysis of neurodegenerative brain disorders such as Alzheimer’s disease (AD) towards
mechanisms for diagnosis, discovering new treatments, and design of new studies. On the technical side,
my interests deal with applied harmonic analysis and statistical image analysis.
Go to Research Page
I am an assistant professor in Computer Science and Engineering, University of Texas, Arlington.
I completed my Ph.D in Computer Sciences at the University of Wisconsin - Madison in Aug., 2017.
I received a B.S. in Information & Communication Engineering at Sungkyunkwan University (S. Korea) in 2008, and a M.S. in Robotics Program at KAIST (S. Korea) in 2010.
Before joining UW-Madison, I worked at Hyundai Motor Company as a reseacher in Hybrid System Testing team (Power Electronics part),
Environmental Technology Center during 2010 - 2011.
Honor & Awards
STARs Award, University of Texas System, 2017
Doctoral Consortium Travel Award, Computer Vision and Pattern Recognition (CVPR), 2016
Student Travel Award, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2013
Machine Learning Summer School (MLSS) Scholarship, University of California, Santa Cruz, 2012
National Fellowship, S. Korea, 2008 - 2010
Finalist for the Best Paper in Biomimetics, IEEE International Conference on Robotics and Biomimetics, 2009
Merit Based Scholarship, Sungkyunkwan University, 2002, 2003, 2005
3rd Place in 12th Grade, Utah Math Contest, 2001
Our paper "Conditional Recurrent Flow: Conditional Generation of Longitudinal Sampleswith Applications to Neuroimaging" has been accepted to ICCV 2019.
My proposal "Convolution Neural Network for Graph Dat" for Research Enhancement Program at UTA got funded.
Our paper "Cerebrospinal fluid biomarkers of neurofibrillary tangles and synaptic dysfunction are associated with longitudinal decline in white matter connectivity: A multi-resolution graph analysis" has been accepted to NeuroImage: Clinical.
Looking for Ph.D students.