Chulwoo Pack

Chulwoo Pack is an Assistant Professor in the McComish Department of Electrical Engineering and Computer Science at South Dakota State University. His research focuses on Document AI, Computer Vision, and Deep Learning, with applications in historical document analysis, semantic segmentation, and explainable AI. He holds a Ph.D. in Computer Science from the University of Nebraska-Lincoln (2023), an M.S. (2017), and B.S. (2015) in Computer Science from South Dakota State University.

Key research areas include parameter-efficient fine-tuning, weakly-supervised learning, and adaptive image processing techniques for large document images. His work bridges computer science and digital humanities, addressing challenges in archival description, historical document restoration, and cultural heritage preservation. Notable collaborations include projects with the Library of Congress on digitization and data analytics.

Professional roles include membership in the ACM, participation in the Graduate Program Development Committee, and contributions to the Faculty Search Committee. His technical expertise spans software engineering, robotic navigation simulators, and intelligent tutoring systems for API misuse correction. The Pack Research Site provides further details on ongoing projects and publications.