Chulwoo Pack

Education

Ph.D. Computer Science, University of Nebraska-Lincoln, Lincoln, NE, 2023
M.S. Computer Science, South Dakota State University, Brookings, SD, 2017
B.S. Computer Science, South Dakota State University, Brookings, SD, 2015

Academic Responsibilities

CSC770 - Software Engineering, Fall 2023

Committee Activities

Graduate Program Developing Committee
Faculty Search Committee

Professional Memberships

ACM Professional

Work Experience

Research Scientist/Engineer Intern, Library of Congress, Washington D.C. (2019)

Creative Activities

JOURNAL PUBLICATIONS (selected)
[J1] Chulwoo Pack, Leen-Kiat Soh, Elizabeth Lorang. “Adaptive Image Downscaling for Semantic Segmentation on Large Document Images.” International Journal on Document Analysis and Recognition. (Forthcoming, Spring 2023).
[J2] Chulwoo Pack, Leen-Kiat Soh, Elizabeth Lorang. “Visual domain knowledge-based multimodal zoning for textual region localization in noisy historical document images.” Journal of Electronic Imaging. 30(6). 2021.
[J3] Chulwoo Pack, Yi Liu, Leen-Kiat Soh, Elizabeth Lorang. “Augmentation-based Pseudo-Groundtruth Generation for Deep Learning in Historical Document Segmentation for Greater Levels of Archival Description and Access.” Journal of Computing and Cultural Heritage (JOCCH). 2021.

CONFERENCE PUBLICATIONS (selected)
[C1] Chulwoo Pack, Seong-Ho Son, and Sung Shin. “Computer aided diagnosis with boosted learning for anomaly detection in microwave tomography.” ACM SIGAPP Applied Computing Review. 17(3). pp. 39-47. 2017.
[C2] Chulwoo Pack, Sung Shin, Hyung-Do Choi, Soon-Ik Jeon, and John Kim. “Optimized multilayer perceptron using dynamic learning rate-based microwave tomography breast cancer screening.” In Proceedings of the 31st Annual ACM Symposium on Applied Computing. pp. 2171-2175. ACM. 2016.
[C3] Samaneh Aminikhanghahi, Sung Shin, Wei Wang, Soon-Ik Jeon, Seong-Ho Son, and Chulwoo Pack. “Study of wireless mammogram image transmission impacts on robust cyber-aided diagnosis systems.” In Proceedings of the 30th Annual ACM Symposium on Applied Computing, pp. 2252-2256. ACM. 2015.

TECHNICAL REPORTS (selected)
[R1] Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, and Chulwoo Pack. “Digital Libraries, Intelligent Data Analytics, and Augmented Description: A Demonstrated Project.” Submitted to the Library of Congress. 2020.
[R2] Elizabeth Lorang, Leen-Kiat Soh, Chulwoo Pack, and Yi Liu. “Application of the Image Analysis for Archival Discovery Team’s FirstGeneration Methods and Software to the Burney Collection of British Newspapers.” CDRH Grant Reports. 7. 2019.

Area(s) of Research

Document AI, Computer Vision, Deep Learning, Parameter Efficient Fine Tuning, Explainable AI