Vision AI 연구실인 인공지능의 딥러닝 영상인식 및 패턴인식, 강화학습 알고리즘을 연구하고 개발하는 연구실입니다. 이 연구를 바탕으로 공간 인공지능, 객체인식, 모빌리티, 이상징후, 사용자 패턴 인식 등 다양한 인공지능 연구를 진행하는 연구실 입니다.
전공: 인공지능
공학박사: University of Colorado, Boulder, USA (Computer Science)
공학석사: Yonsei University, Seoul (Computer Science)
연구실: 2공학관 615
관신분야: 인공지능, 딥러닝, 영상인식, 강화학습, 머신러닝
● 국제논문 (SCI(E), SCOPUS 급 논문지)
1) S. Lee, T. Kim, S. Kim, J. Ahn and N. Kim, "Unsupervised Structural Defect Classification via Real-Time and Noise-Robust Method in Smartphone Small Modules", Electronics, Vol. 14, No. 17, pp. 3455, 2025
2) S. Lee, T. Kim, J. Ahn, "Zero-Shot Based Spatial AI Algorithm for Up-to-Date 3D Vision Map Generations in Highly Complex Indoor Environments", Computers Materials Continua, Vol. 84, No. 2, pp. 3623-3648, 2025
3) D. Kim, J.Min, Y.Soo, C.Kim and J. Ahn, “Intelligent Risk-identification Algorithm with Vision and 3D LiDAR Patterns at Damaged Buildings,” IASC-Intelligent Automation & Soft Computing, 2023
4) D. Kim and J. Ahn, "Intelligent SLAM Algorithm Fusing Low-cost Sensors at Risk of Building Collapses," Computers Materials Continua, 2022
5) D. Kim, C. Kim, and J. Ahn, "Vision-based Recognition Algorithm for Up-To-Date Indoor Digital Map Generations at Damaged Buildings," Computers Materials Continua, Vol. 72, No. 2, pp. 2765-2781, 2022
6) J. Ahn, M. Akshay, K. Zybko, C. Krumm, D. Lee, D. Kim, R. Han, S. Mishra, and T. Hobbs “Intelligent Robust Base-Station Research in Harsh Outdoor Wilderness Environments for Wildsense,” KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, Mar. 2021.
7) J. Jung, M. Park, K. Cho, C. Mun and J. Ahn, "Intelligent Hybrid Fusion Algorithm with Vision Patterns for Generation of Precise Digital Road Maps in Self-driving Vehicles," KSII Transactions on Internet and Information Systems, vol. 14, no. 10, pp. 3955-3971, Oct. 2020.
8) J. Jung, R. Oh, G. Lee, J. Ahn, “Real-time unusual user event detection algorithm fusing vision, audio, activity, and dust patterns,” Multimedia Tools and Applications Journal, Jun. 2020. (Online Published)
9) J. Ahn, "Mobile User Authentication Algorithm using Personalized Behavior Pattern Recognition," International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 137, pp. 11-22, Apr. 2020.
10) O. Sattarov, A. Muminov, C. W. Lee, H. K. Kang, R. Oh, J. Ahn, H. J. Oh, and H. S. Jeon, “Recommending Cryptocurrency Trading Points with Deep Reinforcement Learning Approach,” Applied Sciences, vol. 10, no. 4, p. 1506, Feb. 2020.
11) J. Gwak, J. Jung, R. Oh, M. Park, M. A. K. Rakhimov and J. Ahn, "A Review of Intelligent Self-Driving Vehicle Software Research,“ KSII Transactions on Internet and Information Systems, vol. 13, no. 11, pp. 5299-5320, Nov. 2019.
12) A. Muminov, O. Sattarov, C. W. Lee, H. K. Kang, M.-C. Ko, R. Oh, J. Ahn, H. J. Oh, and H. S. Jeon, “Reducing GPS Error for Smart Collars Based on Animal’s Behavior,” Applied Sciences, vol. 9, no. 16, p. 3408, Aug. 2019.
13) C. W. Lee, J. D. Lee, J. Ahn, H. J. Oh, J. K. Park, and H. S. Jeon, “A Low Overhead Mapping Scheme for Exploration and Representation in the Unknown Area,” Applied Sciences, vol. 9, no. 15, p. 3089, Jul. 2019.
14) J .Ahn, R. Han, "myBlackBox: Blackbox Mobile Cloud Systems for Personalized Unusual Event Detection,“ Sensors 16, no. 5: 753. May. 2016.
15) J. Ahn, A. Mysore, K. Zybko, C. Krumm, S. Thokala, X. Xing, M. Lian, R. Han, S. Mishra, & T. Hobbs, “WildSense: Monitoring Interactions among Wild Deer in Harsh Outdoor Environments Using a Delay-Tolerant WSN,” Journal of Sensors, Sep. 2016.
16) Junho Ahn, James Williamson, Mike Gartrell, Richard Han, Qin Lv, and Shivakant Mishra. Supporting Healthy Grocery Shopping via Mobile Augmented Reality. ACM TOMM, 2015
17) Junho Ahn, Richard Han, “Personalized behavior pattern recognition and unusual event detection for mobile users”, Mobile Information Systems, March, 2013
18) Junho Ahn, Richard Han, “An indoor augmented-reality evacuation system for the Smartphone using personalized Pedometry”, Human-centric Computing and Information Sciences 2012, Springer, 2012
19) Yungeun Kim, Junho Ahn, Hojung Cha, "Locating Acoustic Events Based on Large-Scale Sensor Networks," Sensors, Volume 9, Issue 12 (December 2009), page: 9925-9944 doi:10.3390/s91209925. ISSN 1424-8220
● 국내 논문 (KCI급 논문지)
1) S. Lee, G. Kwon, J. Ahn, "Zero-shot Model-based Abnormal Behavior Detection Fusion Model in Unmanned Store", Journal of Korean Institute of Information Technology (JKIIT), 2025.
2) T. Kim, J. Na, J. Yoon, S. Lee, J. Ahn, "Multiple Camera-Based Real-Time Long Queue Vision Algorithm for Public Safety and Efficiency" Journal of The Korea Society of Computer and Information (JKSCI), 2024.
3) S. Kang, S. Lee, J. Ahn, "Vision-based Low-cost Walking Spatial Recognition Algorithm for the Safety of Blind People", Journal of Internet Computing and Services (JICS), 2023.
4) Y. Choi, J. Na, J. Ahn, "Intelligent Motion Pattern Recognition Algorithm for Abnormal Behavior Detections in Unmanned Stores", Journal of Internet Computing and Services (JICS), 2023.
5) D. Kim and J. Ahn, “Improved Parameter Inference for Low-Cost 3D LiDAR-Based Object Detection on Clustering Algorithms," Journal of Internet Computing and Services, 2022.
6) D. Kim, J.Min and J. Ahn, “Analyze Virtual Private Network Vulnerabilities and Derive Security Guidelines Based on STRIDE Threat Modeling," Journal of Internet Computing and Services, 2022
7) D. Kim and J. Ahn, "Abnormal Situation Detection Algorithm via Sensors Fusion from One Person Households," Journal of Internet Computing and Services, 2022.
8) D. Lee, D. Kim, and J. Ahn, “Intelligent Unusual Event Detection Research using IoT Sensors for Human Health Cares,” Journal of Internet Computing and Services, 2022.
9) J. Jung, D. Lee, S. Kim, and J. Ahn, “Deep Learning-Based User Emergency Event Detection Algorithms Fusing Vision,Audio, Activity and Dust Sensors,” Journal of Internet Computing and Services, vol. 21, no. 5, pp. 109–118, Oct. 2020.
10) J. Jung, D. Kim, C. Kim, R. Oh, and J. Ahn, “Intelligent Railway Detection Algorithm Fusing Image Processing and Deep Learning for the Prevent of Unusual Events,” Journal of Internet Computing and Services, vol. 21, no. 4, pp. 109–116, Aug. 2020.
11) S. Kim and J. Ahn, "Abnormal Behavior Pattern Identifications of One-person Households using Audio, Vision, and Dust Sensors," Journal of Internet Computing and Services, vol. 20, no. 6, pp. 95-103, Dec. 2019.
12) J. Song, J Jung, J. Ahn, ”Intelligent pattern recognition algorithms based on dust, vision and activity sensors for user unusual event detection,” Journal of The Korea Society of Computer and Information, 24(8):95–103, Aug. 2019.
13) J. Jung and J. Ahn, “Intelligent User Pattern Recognition based on Vision, Audio and Activity for Abnormal Event Detections of Single Households,” Journal of The Korea Society of Computer and Information, vol. 24, no. 5, pp. 59–66, May 2019.
14) J. Jung, J. Song, and J. Ahn, “Localization of Mobile Users with the Improved Kalman Filter Algorithm using Smart Traffic Lights in Self-driving Environments,” Journal of The Korea Society of Computer and Information, vol. 24, no. 5, pp. 67–72, May 2019.
15) J. Jung and J. Ahn, “Intelligent Abnormal Event Detection Algorithm for Single Households at Home via Daily Audio and Vision Patterns,” Journal of Internet Computing and Services, vol. 20, no. 1, pp. 77–86, Feb. 2019.