Won Hwa Kim

Introduction

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 on leave-of-absence from UTA and have joined POSTECH (in South Korea) as an Assistant Profesor in Computer Science and Engineering / Graduate School of AI. I am currently not hiring any students at UTA.



News!

  • Dec, 2020: I will join POSTECH (in South Korea) as an Assistant Profesor in Computer Science and Engineering starting December 2020.
  • Aug, 2020: My proposal to NSF CRII (known as "mini CAREER") is now awarded.
  • Aug, 2020: Our proposal funded by NSF Core program, a joint work between UTA (Gautam Das and I) and NJIT (Senjuti B. Roy).
  • Jun, 2020: We have a paper accepted to Brain Connectivity in collaboration with UTSW.
  • July, 2020: We have a paper accepted to TPAMI in collaboration with UW-Madison.
  • May 18, 2020: We have a paper accepted to MICCAI 2020. Congrats Fan!
  • Jan. 7, 2020: We have a paper accepted to ISBI 2020. Congrats Xin!
  • Jul. 22, 2019: We have one paper accepted in ICCV 2019.
  • Mar. 27, 2019: My proposal to Research Enhancement Program at UTA got accepted.

    • Research Interest

    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

    Biography

    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

    • NSF IIS CRII

    I was awarded with an NSf CRII grant as a sole PI for developing Graph ML methods for early detection of Alzheimer's disease.

    MICCAI 2020

    A paper with my student Fan Yang, "COVLET: Covariance-based Wavelet-like Transform for Statistical Analysis of Brain Characteristics in Children", has been early accepted to MICCAI 2020. Congrats!

    ISBI 2020

    A paper with my student Xin Ma, "Enriching Statistical Inferences on Brain Connectivity for Alzheimer's Disease Analysis via Latent Space Graph Embedding", has been accepted to ISBI 2020 for Oral Presentation.

    I am not hiring any students this fall.