Chulwoo Pack

Department of Electrical Engineering and Computer Science | South Dakota State University


DEH 129

1250 8th St

Brookings, SD 57007

I am an Assistant Professor in the department of Electrical Engineering and Computer Science (EECS) at South Dakota State University. I received my Ph.D. in Computer Science from the University of Nebraska-Lincoln under Dr. Leen-Kiat Soh. Prior to that, I completed my BS and MS degrees at South Dakota State University in 2015 and 2017, respectively. The long-term vision of my research is to establish the fundamental framework for computer vision system to support human users. Progressing towards this vision, I am actively conducting my research in the following areas: image processing, machine learning, deep learning, document understanding, medical image analysis, and visual question answering.


Aug 30, 2023 My work, “Perceptual Cue-Guided Adaptive Image Downscaling for Enhanced Semantic Segmentation on Large Document Images” was accepted for publication in IJDAR.
Jun 26, 2023 My work, “Weakly-supervised Semantic Segmentation on Historical Document Images” was accepted for publication in ACM RACS 2023 conference.
Apr 25, 2023 I have recently been offered a position as Assistant Professor at South Dakota State University.
Apr 12, 2023 Successfully defended Doctoral Dissertation “Enhancing Document Layout Analysis on Historical Newspapers: Visual Representation, Pseudo-ground-truth, and Downscaling”, and has officially graduated with a Ph.D. in Computer Science. Deepest appreciation to my advisor, Dr. Leen-Kiat Soh!

Selected Publications


  1. Augmentation-based Pseudo-Ground truth Generation for Deep Learning in Historical Document Segmentation for Greater Levels of Archival Description and Access
    Chulwoo Pack, Yi Liu, Leen-Kiat Soh, and 1 more author
    Journal on Computing and Cultural Heritage (JOCCH), 2022


  1. Visual domain knowledge-based multimodal zoning for textual region localization in noisy historical document images
    Chulwoo Pack, Leen-Kiat Soh, and Elizabeth Lorang
    Journal of Electronic Imaging, 2021


  1. Tech. Report
    Digital libraries, intelligent data analytics, and augmented description: A demonstration project
    Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, and 1 more author


  1. Tech. Report
    Application of the Image Analysis for Archival Discovery Team’s First-Generation Methods and Software to the Burney Collection of British Newspapers
    Elizabeth Lorang, Leen-Kiat Soh, Chulwoo Pack, and 3 more authors


  1. Optimized multilayer perceptron using dynamic learning rate based microwave tomography breast cancer screening
    Chulwoo Pack, Sung Shin, Hyung-Do Choi, and 2 more authors
    In Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016


  1. Computer aided breast cancer diagnosis system with fuzzy multiple-parameter support vector machine
    Chulwoo Pack, Sung Shin, Seong Ho Son, and 1 more author
    In Proceedings of the 2015 Conference on research in adaptive and convergent systems, 2015