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Won Hwa Kim

[Won Hwa Kim]

Assistant Professor, Computer Science and Engineering
Last Updated: September 23, 2021
about me

Research Interests

Research Interests
Machine Learning, Computer Vision, Neuroinaging

Teaching Interests

Teaching Interests
Machine Learning, Computer Vision, Medical Image Analysis, Artificial Intelligence

Biography

Biography

Won Hwa Kim is an assistant professor in the department of computer science and engineering at the University of Texas, Arlington. He obtained his Ph.D in Computer Sciences from University of Wisconsin - Madison in 2017, a M.S. in Robotics at KAIST in 2010 and B.S. in Information and Communication Engineering at Sungkyunkwan University in S. Korea in 2008. Prior to joining UTA, he briefly worked as a researcher in Data Science team at NEC Labs, America in 2017 and also has experience as a researcher in Hyundai Motors Company developing power electronic parts for hybrid/electric vehicles from 2010 to 2011. His current research combines Machine Learning, Computer Vision and Neuroscience and is focused on developing novel methods for analyses of data in non-Euclidean space and their applications in Neuroimaging and Medical Informatics. His work has been published in top-tier AI conferences such as NIPS, CVPR, ICCV, ECCV, MICCAI as well as in high impact journals such as NeuroImage, NeuroImage:Clinical and Brain Connectivity.

Appointments

Appointments

    • Sept 2017 to Jan 2018 Researcher
      NEC Labs., America
    • Feb 2010 to July 2011 Research Engineer
      Hyundai Motors Company

Awards and Honors

    • Apr  2019 NSF CISE CAREER Workshop Travel Award sponsored by National Science Foundation
    •  2017 STARs Award sponsored by University of Texas
    •  2016 Doctoral Consortium Travel Award sponsored by CVPR
    •  2013 Student Travel Award sponsored by MICCAI
    •  2012 Machine Learning Supper School Scholarship sponsored by University of California, Santa Cruz
    •  2009 Finalist for the Best Paper in Miomimetics sponsored by International Conference on Robotics and Biomimetics
    •  2008 National Fellowship sponsored by South Korea
    • Apr  2001 3rd Place in Utah Math Contest sponsored by Utah

News Articles

News Articles

    • Dec 2018
      NewsKorea
      Special Interview with Dr. Won Hwa Kim on AI

Support & Funding

Support & Funding

This data is entered manually by the author of the profile and may duplicate data in the Sponsored Projects section.
    • Oct 2020 to Sept 2023 Collaborative Research:III: Small: An Optimization Framework for Designing Derived Attributes with Humans-in-the-loop sponsored by  -  $203114
      (Funded)
    • Oct 2020 to Sept 2022 CRII: RI: Learning novel multi-resolution representations of graphs: Applications to Brain Connectivity analysis for Alzheimer's Disease sponsored by  -  $175000
      Won Hwa Kim (Funded)
    • May 2019 to Jan 2022 Algebraic Formulations for Characterizing Structural Brain Connectivity Changes and Pathology Transmission Networks in Preclinical Alzheimer's Disease sponsored by  -  $150786
      Won Hwa Kim (Funded)
    • June 2019 to Aug 2020 Convolution Neural Network for Graph Structured Data sponsored by  -  $10000
      Won Hwa Kim (Funded)

Publications


      2020
      • Journal Article
        BrainNET: Inference of Brain Network Topology using Machine Learning
        [Murugesan, GoatK, Ganesh, Chandan, Nalawade, Sahil, Davenport, ElizabethM, Wagner, Ben, Kim, Won Hwa, Maldjian, JosephA]. Brain Connectivity. "Mary Ann Liebert, Inc.".
      • Journal Article
        Performing Group Difference Testing on Graph Structured Data from GANs: Analysis and Applications in Neuroimaging
        [Dinh, TuanQ, Xiongy, Yunyang, Huangy, Zhichun , Voy, Tien , Mishray, Akshay, Kim, Won Hwa, Ravi, SathyaN, Singh, Vikas]. IEEE Transactions on Pattern Analysis and Machine Intelligence. "IEEE".
      • Journal Article
        Classification of the Urinary Metabolome using Machine Learning and Potential Applications to Diagnosing Interstitial Cystitis
        [Tong, Feng, Shahid, Muhammad, Jin, Peng, Jung, Sungyong, Kim, Won Hwa, Kim, Jayoung]. Bladder.
      • Journal Article
        Utilizing Machine Learning to Discern Hidden Clinical Values from Big Data in Urology
        [Kim, Jayoung, Jin, Peng, Won Hwa, Kim, Wun-Jae]. Investigative and Clinical Urology.

      2019
      • Journal Article
        Association of longitudinal white matter degeneration and cerebrospinal fluid biomarkers of neurodegeneration, inflammation and Alzheimer’s disease in late-middle-aged adults
        [Racine, AnnieM, Merluzzi, AndrewP, Adluru, Nagesh, Norton, Derek, Koscik, RebeccaL, Clark, LindsayR, Berman, SaraE, Nicholas, ChristopherR, Asthana, Sanjay, Alexander, AndrewL, others]. Brain Imaging and Behavior. 13(1), 41--52. "Springer US".
      • Journal Article
        Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease
        [Hwang, SeongJae, Adluru, Nagesh, Kim, WonHwa, Johnson, SterlingC, Bendlin, BarbaraB, Singh, Vikas]. 9(2), 162--173. "Mary Ann Liebert, Inc., publishers 140 Huguenot Street, 3rd Floor New~…".
      • Journal Article
        Cerebrospinal fluid biomarkers of neurofibrillary tangles and synaptic dysfunction are associated with longitudinal decline in white matter connectivity: A multi-resolution graph analysis
        [Kim, WonHwa, Racine, AnnieM, Adluru, Nagesh, Hwang, SeongJae, Blennow, Kaj, Zetterberg, Henrik, Carlsson, CynthiaM, Asthana, Sanjay, Koscik, RebeccaL, Johnson, SterlingC, others]. 21, "Elsevier".

      2015
      • Journal Article
        Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease
        [Kim, Won Hwa, Adluru, Nagesh, Chung, MooK., Okonkwo, OziomaC., Johnson, SterlingC., Bendlin, BarbaraB., Singh, Vikas]. NeuroImage. 118, 103-117. DOI: http://dx.doi.org/10.1016/j.neuroimage.2015.05.050

      2014
      • Journal Article
        Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness
        [Kim, Won Hwa, Singh, Vikas, Chung, MooK., Hinrichs, Chris, Pachauri, Deepti, Okonkwo, OziomaC., Johnson, SterlingC.]. NeuroImage. 93, 107-123. DOI: http://dx.doi.org/10.1016/j.neuroimage.2014.02.028

      2020
      • Conference Proceeding
        COVLET: Covariance-based Wavelet-like Transform for Statistical Analysis of Brain Characteristics in Children
        [Yang, Fan, Isaiah, Amal, Kim, Won Hwa]. Medical Image Computing and Computer Assisted Intervention (MICCAI). "Springer".
      • Conference Proceeding
        Enriching Statistical Inferences on Brain Connectivity for Alzheimer’s Disease Analysis via Latent Space Graph Embedding
        [Ma, Xin , Wu, Guorong, Kim, Won hwa]. IEEE International Symposium on Biomedical Imaging (ISBI). "IEEE".

      In Process
      • Conference Proceeding
        Conditional recurrent flow: conditional generation of longitudinal samples with applications to neuroimaging
        [Hwang, Seongjae, Tao, Zirui, Kim, Won Hwa, Singh, Vikas]. Published.

      2019
      • Conference Proceeding
        Statistical Analysis of Longitudinally and Conditionally Generated Neuroimaging Measures via Conditional Recurrent Flow
        [Hwang, Seong Jae, Tao, Zirui, Kim, Won Hwa, Singh, Vikas].

      2017
      • Conference Proceeding
        Online Graph Completion: Multivariate Signal Recovery in Computer Vision
        IEEE Conference on Computer Vision and Pattern Recognition
        [Kim, Won Hwa, Jalal, Mona, Hwang, Seongjae, Johnson, SterlingC., Singh, Vikas]. 5019-5027. DOI: http://dx.doi.org/10.1109/CVPR.2017.533

      2016
      • Conference Proceeding
        Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging
        European Conference on Computer Vision
        [Kim, Won Hwa, Hwang, SeongJae, Adluru, Nagesh, Johnson, SterlingC., Singh, Vikas]. 9910, 188-205. DOI: http://dx.doi.org/10.1007/978-3-319-46466-4_12
      • Conference Proceeding
        Latent Variable Graphical Model Selection using Harmonic Analysis: Applications to the Human Connectome Project (HCP)
        IEEE Conference on Computer Vision and Pattern Recognition
        [Kim, Won Hwa, Kim, HyunwooJ., Adluru, Nagesh, Singh, Vikas]. 2443-2451. DOI: http://dx.doi.org/10.1109/CVPR.2016.268

      2015
      • Conference Proceeding
        On Statistical Analysis of Neuroimages with Imperfect Registration
        IEEE International Conference on Computer Vision
        [Kim, Won Hwa, Ravi, SathyaN., Johnson, SterlingC., Okonkwo, OziomaC., Singh, Vikas]. 666-674. DOI: http://dx.doi.org/10.1109/ICCV.2015.83
      • Conference Proceeding
        Statistical Inference Models for Image Datasets with Systematic Variations
        IEEE Conference on Computer Vision and Pattern Recognition
        [Kim, Won Hwa, Bendlin, BarbaraB., Chung, MooK., Johnson, SterlingC., Singh, Vikas]. 4795-4803.
      • Conference Proceeding
        MULTI-RESOLUTION STATISTICAL ANALYSIS ON GRAPH STRUCTURED DATA IN NEUROIMAGING
        IEEE International Symposium on Biomedical Imaging
        [Kim, Won Hwa, Singh, Vikas, Chung, MooK., Adluru, Nagesh, Bendlin, BarbaraB., Johnson, SterlingC.]. 1548-1551.

      2014
      • Conference Proceeding
        The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation
        Medical Imaging Computing and Computer Assisted Intervention
        [Hosseinbor, AmeerPasha, Kim, Won Hwa, Adluru, Nagesh, Acharya, Amit, Vorperian, HouriK., Chung, MooK.]. 8675, 65-72.

      2013
      • Conference Proceeding
        Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space
        Medical Imaging Computing and Computer Assisted Intervention
        [Kim, Won Hwa, Adluru, Nagesh, Chung, MooK., Charchut, Sylvia, GadElkarim, JohnsonJ., Altshuler, Lori, Moody, Teena, Kumar, Anand, Singh, Vikas, Leow, AlexD.]. 8151, 643-651.
      • Conference Proceeding
        Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems
        IEEE Conference on Computer Vision and Pattern Recognition
        [Kim, Won Hwa, Chung, MooK., Singh, Vikas]. 2139-2146. DOI: http://dx.doi.org/10.1109/CVPR.2013.278

      2012
      • Conference Proceeding
        Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination
        Advances in Neural Information and Processing System
        [Kim, Won Hwa, Pachauri, D, Hatt, C, Chung, Myungjin, Johnson, SC, Singh, V]. 2012, 1241-1249.

      2009
      • Conference Proceeding
        Lifelike Facial Expression of Mascot-Type Robot based on Emotional Boundaries
        IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS
        [Park, JeongWoo, Kim, WooHyun, Lee, WonHyong, Kim, Won Hwa, Chung, MyungJin]. 830-+.
      • Conference Proceeding
        Stochastic Approach on a Simplified OCC Model for Uncertainty and Believability
        Computational Intelligence in Robotics and Automation
        [Kim, Won Hwa, Park, JeongWoo, Lee, WonHyong, Kim, WooHyun, Chung, MyungJin]. 66-+.
      • Conference Proceeding
        Synchronized Multimodal Expression Generation using Editing Toolkit for a Human-friendly Robot
        IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS
        [Kim, WooHyun, Park, JeongWoo, Lee, WonHyong, Kim, Won Hwa, Chung, MyungJin]. 706-+.

      2020
      • Abstract
        Enriching Statistical Inferences on Brain Connectivity via Latent Space Graph Embeddings
        [Ma, Xin, Wu, Guorong, Kim, Won Hwa]. Organization for Human Brain Mapping (OHBM).
      • Abstract
        Multi-resolution Graph Neural Network for Detecting Variations in Brain Connectivity
        [Ma, Xin, Wu, Guorong, Kim, Won Hwa]. Organization for Human Brain Mapping (OHBM).
      • Abstract
        Multi-resolution Graph Neural Network for Detecting Variations in Brain Connectivity
        [Ma, Wu, Guorong , Kim, Won Hwa]. Interaction of Geometry and Topology in Biomedical Imaging (ISBI Workshop).

      2019
      • Abstract
        Missing Value Imputation via Graph Completion in Questionnaires of Persons with Dementia
        [Kim, Won Hwa, Fields, Noelle, Xu, Ling , Kan, Chen].

      In Process
      • Abstract
        Social Media Text Analysis using Multi-kernel Convolution Neural Network for Ride Hailing Service Assessment
        [Philips, Anna, Naz, Farah , Hyun, KateKyung, Patel, Vivek , Zhang, GeGordon, Kim, Won Hwa]. Bibliography - Transportation Research Board. Accepted.

Presentations

    •  2020
      Kim, Won Hwa, "Graph Data Analysis for Bio-data Processing using Machine Learning", University of Seoul. ( , 2020).
    • December  2019
      Kim, Won Hwa, "Multi-resolution Analysis for Graphs and Images on Graphs", Electronics and Telecommunications Research Institute (ETRI). (December , 2019).
    • December  2019
      Kim, Won Hwa, "Multi-resolution Analysis for Graphs and Images on Graphs", Gwangju Institute of Science and Technology (GIST). (December , 2019).
    • November  2019
      Kim, Won Hwa, "Multi-resolution Analyses of Neuroimaging Data on Graph for AD Studies", University of Texas at Arlington. (November , 2019).
    • December  2018
      Kim, Won Hwa (Author & Presenter), Kim, HyunwooJ (Author), Adluru, Nagesh (Author), Singh, Vikas (Author), "Multi-resolution Analysis for Sparse Inverse Covariance Matrix Estimation". (December , 2018).

Students Supervised

    • Present
      Undergraduate Supervised Research
      Vivek Patel, (Computer Science and Engineer)
    • Present
      Doctoral Diagnostic Committee Member
      (Computer Science and Engineer)
    • Present
      Doctoral Comprehensive Exam Committee Member
    • Present
      Master's Thesis Committee Chair
      Anna Philip, (Computer Science and Engineer)
    • Present
      Dissertation Committee Chair
      Xin Ma, (Computer Science and Engineer)
    • May 2019
      Undergraduate Honors Activities
      Vivek Patel, (Computer Science and Engineer)

Courses

      • CSE 6999-015 DISSERTATION
        (Course Id: 102619)
        Fall - Regular Academic Session - 2021
      • CSE 6997-015 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102618)
        Fall - Regular Academic Session - 2021
      • CSE 6997-015 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102618)
        Spring - Regular Academic Session - 2021
      • CSE 6363-002 MACHINE LEARNING
        (Course Id: 102604)
        Fall - Regular Academic Session - 2020
      • CSE 6397-015 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2020
      • CSE 6997-015 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102618)
        Fall - Regular Academic Session - 2020
      • CSE 5334-001 DATA MINING
        (Course Id: 102532)
        Spring - Regular Academic Session - 2020 Download Syllabus
      • CSE 5334-201 DATA MINING
        (Course Id: 102532)
        Spring - Regular Academic Session - 2020
      • CSE 5698-015 MASTER'S THESIS II
        (Course Id: 102571)
        Spring - Regular Academic Session - 2020
      • CSE 6397-015 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2020
      • CSE 6697-015 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2020
      • CSE 6367-002 COMPUTER VISION
        (Course Id: 102606)
        Fall - Regular Academic Session - 2019 Download Syllabus
      • CSE 5698-015 MASTER'S THESIS II
        (Course Id: 102571)
        Fall - Regular Academic Session - 2019
      • CSE 6397-015 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2019
      • CSE 6697-015 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Fall - Regular Academic Session - 2019
      • CSE 5698-015 MASTER'S THESIS II
        (Course Id: 102571)
        Summer - Eleven Week - 2019
      • CSE 4334-001 DATA MINING
        (Course Id: 111685)
        Spring - Regular Academic Session - 2019
      • CSE 5334-001 DATA MINING
        (Course Id: 102532)
        Spring - Regular Academic Session - 2019
      • CSE 5698-015 MASTER'S THESIS II
        (Course Id: 102571)
        Spring - Regular Academic Session - 2019
      • CSE 6397-015 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Spring - Regular Academic Session - 2019
      • CSE 6697-015 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102614)
        Spring - Regular Academic Session - 2019
      • CSE 4334-002 DATA MINING
        (Course Id: 111685)
        Fall - Regular Academic Session - 2018
      • CSE 5334-001 DATA MINING
        (Course Id: 102532)
        Fall - Regular Academic Session - 2018
      • CSE 6397-015 RESEARCH IN COMPUTER SCIENCE
        (Course Id: 102609)
        Fall - Regular Academic Session - 2018
      • CSE 6363-002 MACHINE LEARNING
        (Course Id: 102604)
        Spring - Regular Academic Session - 2018 Download Syllabus

Service to the University

    • Sept 2019 to  Present Committee Member
      Faculty Search Committee
    • Jan 2019 to  Present Committee Member
      Ph.D Admission Committee
    • Jan 2018 to  Present Committee Member
      Ph.D Thesis Committee

Service to the Profession

    • 2020 to  2020
      Reviewer, Ad Hoc Reviewer
      NSF
    • 2020 to  2020
      Reviewer, Journal Article
      Transactions on Medical Imaging
    • 2019 to  2020
      Reviewer, Conference Paper
      Association for the Advancement of Artificial Intelligence
    • 2019 to  2020
      Reviewer, Conference Paper
      Medical Image Computing and Computer Assisted Intervention
    • 2018 to  2020
      Reviewer, Conference Paper
      Computer Vision and Pattern Recognition
    • 2018 to  2020
      Reviewer, Conference Paper
      Neural Information Processing and Systems
    • 2019 to  2019
      Reviewer, Journal Article
      Alzheimer’s and Dementia
    • 2019 to  2019
      Reviewer, Journal Article
      Entropy
    • 2019 to  2019
      Reviewer, Conference Paper
      International Conference on Computer Vision
    • 2019 to  2019
      Reviewer, Journal Article
      Neurobiology of Aging
    • 2018 to  2018
      Reviewer, Journal Article
      NeuroImage
      Reviewing manuscripts for journal submissions.
    • 2018 to  2018
      Reviewer, Conference Paper
      NIPS
    • June 2018 to  June 2018
      Reviewer, Grant Proposal
      NSF
      Review of proposals at NSF (CRCNS)

Service to the Community

Service to the Community

    • 2018 to  Present
      Member
      Korean-American Scientist and Engineer Association (KSEA)