Personal profile
Education
2000-2004: Seoul National University, BS in CSE & MAE (double major),
2004-2006: Seoul National University, MS in EECS,
2013-2018: Georgia Institute of Technology, PhD in ECE
2000-2004: 서울대학교 컴퓨터공학, 기계항공공학 학사 (복수전공),
2004-2006: 서울대학교 전기컴퓨터공학 석사,
2013-2018: Georgia Institute of Technology 전자컴퓨터공학 박사
Professional Experience
2006-2019: Senior researcher, Agency for Defense Development,
2017: Microsoft Research (Research intern),
2019 ~: Assistance professor, SKKU CICE
2006-2019: 국방과학연구소 선임연구원,
2017: Microsoft Research (Research intern),
2019 ~: 성균관대 전자전기공학부 조교수
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Collaborations and top research areas from the last five years
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Efficient Vision Transformer Inference via UDP for Edge-Cloud Collaboration: An Adaptive Loss Detection Approach
Kim, H. & Ko, J. H., 2026, (Accepted/In press) In: Journal of Computer Science and Technology.Research output: Contribution to journal › Article › peer-review
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RUSH: Recursive and Scalable 3D Coarse to Fine Path Planning
Lee, H., Ko, D., Hur, J., Lee, J., Ha, S., Ko, J. H. & Yu, H., 2026, In: IEEE Robotics and Automation Letters. 11, 2, p. 2346-2353 8 p.Research output: Contribution to journal › Article › peer-review
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An FPGA-Based Energy-Efficient Real-Time Hand Pose Estimation System With an Integrated Image Signal Processor for Indirect 3-D Time-of-Flight Sensors
Kim, Y., So, J., Hwang, C., Cheng, W., Choi, J. & Ko, J. H., 2025, In: IEEE Internet of Things Journal. 12, 2, p. 1817-1830 14 p.Research output: Contribution to journal › Article › peer-review
6 Link opens in a new tab Scopus citations -
Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators
Kim, J., Jeon, K. E., Kim, Y. & Ko, J. H., 2025, 2025 Design, Automation and Test in Europe Conference, DATE 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings -Design, Automation and Test in Europe, DATE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Link opens in a new tab Scopus citations -
Continuous Memory Representation for Anomaly Detection
Lee, J. C., Kim, T., Park, E., Woo, S. S. & Ko, J. H., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 438-454 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15109 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
10 Link opens in a new tab Scopus citations
Press/Media
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Development of two novel methodologies for efficient representation of complex 3D scenes
1/01/70
1 Media contribution
Press/Media