- 직책 부교수
- 전공분야 Artificial Intelligence, Pattern Recognition
- 연구실 중앙정보관 204호
Ph.D. degree: University of Colorado, Boulder, USA in 2013 (Computer Science)
Master degree: Yonsei University, Seoul, South Korea in 2008 (Computer Science)
Bachelor degree: Hongik University, Seoul, South Korea in 2006 (Computer Engineering)
Full-time: ETRI National Security Research Institute, 2013 ~ 2017
Internship: Microsoft Research Redmond, 2010
• 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.
• 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.
• 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)
• 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.
• J. Ahn, T. Ho, J. Kang, J. Gwak, “Using Artificial Intelligence Methods for Dental Image Analysis: State-of-the-Art Reviews,”
Journal of Medical Imaging and Health Informatics, Volume 10, Number 11, pp. 2532-2542(11), Nov. 2020.
• 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.
• 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.
• 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.
• J .Ahn, R. Han, "myBlackBox: Blackbox Mobile Cloud Systems for Personalized Unusual Event Detection,“
Sensors 16, no. 5: 753. May. 2016.
• 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.
• Junho Ahn, James Williamson, Mike Gartrell, Richard Han, Qin Lv, and Shivakant Mishra. Supporting Healthy
Grocery Shopping via Mobile Augmented Reality. ACM TOMM, 2015
• Junho Ahn, Richard Han, “Personalized behavior pattern recognition and unusual event detection for mobile
users”, Mobile Information Systems, March, 2013
• 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
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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
• Development of AI Algorithms and SW Fusing Smartphones and Distributed Low-cost Robots for the 3D Vision Object Detection
Digital Map Generation in Building Disaster Sites, NRF(National Research Foundation of Korea),, 2020 – 2023
• Unusual event detection research fusing smartphones and CCTVs in smart cities, NRF(National Research Foundation of Korea),
2017 – 2020
• AI Algorithm Development based on Generation of Precise Digital Road Maps for Self-driving Vehicles, LX, KEIT, 2019
• Development of Self-driving vehicles SW of Traffic Signal System for reducing Pedestrian Fatalities, TIPA, 2018
International Education Certificate: GTP(Graduate Teacher Program), 2012.3.3., USA