Personal profile
In Korean
정순기 교수(IT대학 컴퓨터학부)
Education
o (1990) B.E., Kyungpook National University (KNU)
o (1992) M.S., Korea Advanced Institute of Science and Technology (KAIST)
o (1997) Ph.D., Korea Advanced Institute of Science and Technology (KAIST)
o (1992) M.S., Korea Advanced Institute of Science and Technology (KAIST)
o (1997) Ph.D., Korea Advanced Institute of Science and Technology (KAIST)
Professional Experience
o (2008~2009) Visiting Professor, University of Southern California (USC)
o (2001~2002) Research Associate, University of Southern California (USC)
o (1998~Present) Professor, Kyungpook National University (KNU)
o (1997~1998) Research Associate, University of Maryland
o (2001~2002) Research Associate, University of Southern California (USC)
o (1998~Present) Professor, Kyungpook National University (KNU)
o (1997~1998) Research Associate, University of Maryland
Research Interests
Virtual Reality, Computer Vision, Computer Graphics, Human Computer Interaction
Major Research Achievements
o Privacy-preserving with face de-identification and machine unlearning
o Body composition analysis with 3D CT segmentation
o Visual object tracking and foreground-background estimation
o STEM-Based AI education for Sustainable Improvement of Elementary Learners
o Hyperspectral anomaly detection with guided autoencoder
o Body composition analysis with 3D CT segmentation
o Visual object tracking and foreground-background estimation
o STEM-Based AI education for Sustainable Improvement of Elementary Learners
o Hyperspectral anomaly detection with guided autoencoder
url
Keywords
- QA75 Electronic computers. Computer science
- deep learning
- artificial intelligence
- generative artificial intelligence
- hyperspectral imaging
- digital holography
- SLAM
- QA76 Computer software
- virtual reality
- metaverse
- computer vision
- object tracking
- object segmentation
- medical image segmentation
- deep learning
- computer graphics
- human computer interaction
- object detection
- image processing
- security
- face recognition
- augmented reality
- virtual scenes
- face deepfake
- metaverse-based education
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 4 Quality Education
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Action recognition: A comprehensive survey of tasks, methods, and challenges
Heo, S., Moon, J. & Jung, S. K., Feb 2026, In: ICT Express. 12, 1, p. 32-49 18 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
An LLM-Driven Pipeline for Synthetic Surveillance Video Dataset Generation in Virtual Environments
Moon, J., Heo, J. H. & Jung, S. K., 2026, Proceedings - 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026. Institute of Electrical and Electronics Engineers Inc., p. 1283-1284 2 p. (Proceedings - 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Deployment of Web-Based Immersive VR in a Korean Elementary Classroom: A Field Study on Earth and Moon Movements
Jeon, J., Jang, J. & Jung, S. K., 2026, Proceedings - 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026. Institute of Electrical and Electronics Engineers Inc., p. 1225-1226 2 p. (Proceedings - 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Development and Classroom Evaluation of a Static-Assessment Programming Practice Platform: Scaffolding Intensity and Subsequent-Task Performance
Jeon, J., Jang, J. & Jung, S. K., 2026, (Accepted/In press) In: IEEE Access.Research output: Contribution to journal › Article › peer-review
Open Access -
High-low-frequency feature-guided diffusion model for hyperspectral anomaly detection
Xiang, P., Qi, S., Jung, S. K., Qian, K., Cheng, K., Prasad, S., Zhou, H. & Zhao, D., Nov 2026, In: Optics and Laser Technology. 203, 115561.Research output: Contribution to journal › Article › peer-review