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 that enhance accessibility and discoverability in complex, large-scale data. To advance this vision, I am actively conducting my research in the following areas: document and video (multimedia) analysis, deep learning, multimodal learning, and visual reasoning.
News
Mar 26, 2025 | 🎉 Congratulations, John, on being selected for the Joseph F. Nelson Award through the UGR program with your project, “AI-Vision Driven Rear-Collision Detection and Trajectory Estimation on Edge Devices for Worker Safety”! |
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Dec 11, 2024 | 🎉 Congratulations, John, on being selected for the Future Innovator of America fellowship program with your project, “AMBER – Affordable Multimodal Sensor-Based Environmental Risk Detector”! |
Nov 20, 2024 | 🎉 Congratulations, Farzaneh, on successfully defending your Master’s thesis, “Evaluating the Impact of Perceptual Loss in Generative Adversarial Models and Diffusion Models for Document Image Enhancement”! |
Nov 18, 2024 | 🎉 Congratulations, Omesham, on your new role as a software engineer at the Office of Information Technology, SDSU! |
Oct 30, 2024 | 🎉 Congratulations, Harsh, for your work “Leveraging Textual Memory and Key Frame Reasoning for Full Video Understanding Using Off-the-Shelf LLMs and VLMs” being accepted for publication at the AAAI Student Abstract! |
Aug 21, 2024 | 🎖️ Research Grant awarded: USDA National Institute of Food and Agriculture, Women and Minorities in STEM Program. Co-PI. $155,310. 2024-2026. |
May 24, 2024 | 🏅 Congratulations, Sai, for your work “A Deep Learning Approach for Precision Phenotyping of Corn Stomata” being selected for the Best Paper Award at SPIE’s conference! It was a pleasure collaborating with you. Keep it up! |
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. |