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전공컴퓨터과학 (Computer Science)
연락처 헬스케어기계학습연구실 (http://mih.or.kr/) junhyung.moon@cha.ac.kr

학력

  • 연세대학교(신촌) 컴퓨터과학 박사
  • 연세대학교(신촌) 컴퓨터과학 학사

경력

    [교육/연구]
  • 현) 차의과학대학교 헬스케어융합학부 소프트웨어융합전공, 조교수
  • 전) 차의과학대학교 의학전문대학원 정보의학교실, 연구교수
  • 전) University of Maryland, College Park, Postdoctoral Associate
  • 전) 연세대학교(신촌) 컴퓨터과학과, 박사후연구원
    • [수상]
  • 2025 Best Paper Award (ACM CHI conference on Human Factors in Computing Systems: 한국연구재단 최우수 등급 국제학술대회)
  • 2019 NAVER Ph.D Fellowship Award
    • [연구과제-책임자]
  • "제로샷 러닝을 활용한 프라이버시 보호형 복합질환 예측: 미래 의료 혁신의 첫걸음” (과학기술정보통신부, 정보통신기획평가원, 디지털콜럼버스프로젝트, 2024.04.01 ~ 2032.12.31)
  • "뇌전증 발작 탐지 및 재활 예후 예측을 위한 인공지능 기술 개발" (과학기술정보통신부, 한국연구재단, 세종과학펠로우십(국내트랙), 2024.05.01 ~ 2029.04.30)
    • [특허]
  • "UWB 레이더 센서를 활용한 비접촉식 스트레스 추론 장치 및 방법" – 국내 등록특허(2021년 10월)
  • “발표자의 정신적 스트레스 인식 및 피드백 제공 장치" – 국내 등록특허 (2021년 2월)
  • “배뇨 예측 장치 및 이에 의해 수행되는 배뇨 예측 방법" – 국내 등록특허 (2020년 4월)

논문

    [Peer-reviewed International Journal] (*: Co-first, †: Corresponding)
  • W. T. Yoon*, H.-g. Kim*, J. Moon*, D. Ngo, J. H. Kim†, and B. H. Cho†, “Uncertainty-Aware Selective Prediction of Neovascular Age-Related Macular Degeneration Recurrence Using Artificial Intelligence”, IEEE Access, 2026.
  • S. Park, J. Hong, D.-H. Park, H. Kim, S. Yeon, K. Lee, J. Y. Jeon†, J. Moon†, “Designing an mHealth App for Defecatory Function Rehabilitation of Post-Surgical Colorectal Cancer Survivors.”, Journal of Healthcare Informatics Research, 2026.
  • A-R. Cho, H. Oh, E. Suh, J.-H. Jeon, J. Moon, B. H. Cho†, Y.-K. Lee†, “Association between Complete Blood Cell Count (CBC)-Derived Inflammatory Markers and Natural Killer Cell Activity: A Cross-Sectional Study”, Journal of Inflammation Research 2026.
  • J. Moon, Y. L. Huh, H. Y. Cho, C. Kim, H. Lee, D. P. Jang, B. H. Cho†, “Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study with AI-Based Analysis.”, JMIR mHealth and uHealth, 2025.
  • W. T. Yoon*, H. Kim*, J. Moon*, D. Ngo, J. H. Kim†, B. H. Cho†, “Predicting Wet Age-Related Macular Degeneration Recurrence Prediction Using CNN Models with Multimodal Retinal Imaging.”, Digital Health Research, 2025.
  • H. Oh, A-R. Cho, J.-H. Jeon, E. Suh, J. Moon, B. H. Cho†, Y.-K. Lee†, “Association between Resting Heart Rate and Low Natural Killer Cell Activity: A Cross-sectional Study.”, Frontiers in Immunology, 2024.
  • S. Lee, J. Moon†, S. Shin, Y. Lee, K. Lee, “Wearable-Based Integrated System for In-Home Monitoring and Analysis of Nocturnal Enuresis.”, Sensors, 2024.
  • S. Park, J. Moon†, H. Eun, J. Hong, K. Lee, “Artificial Intelligence-based Diagnostic Support System for Patent Ductus Arteriosus in Premature Infants.”, Journal of Clinical Medicine, 2024.
  • J. Moon, M. Oh, S. Kim, K. Lee, J. Lee, Y. Song, J. Jeon†, “Intelligent Estimation of Exercise Induced Energy Expenditure Including Excess Post-Exercise Oxygen Consumption (EPOC) with Different Exercise Intensity.”, Sensors, 2023.
  • S. Lee, J. Moon, S. Shin, J. H. Hwang, K. Lee, Y. Lee†, “Continuous Body Impedance Measurement to Detect Bladder Volume Changes during Urodynamic Study: a Prospective Study in Pediatric Patients.”, Neurourology and Urodynamics, 2021.
  • J. Moon†, H. Park, K. Lee, “Integrated Visual Security Management for Optimal Condition Explorations in Resource-constrained Systems.”, EURASIP Journal of Image and Video Processing, 2019.
    • [Peer-reviewed Conference Proceedings] (*: Co-first, †: Corresponding)
  • J. Moon, C. Kim, Y. L. Huh, H. Kim, H. Lee, D. P. Jang, H. Y. Cho, B. H. Cho, “A Preliminary Study on Mobile Keystroke Dynamics-based Age Estimation using Artificial Intelligence.”, 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’25) Research Poster Abstract.
  • J. Moon, S. Lee, Y. Kim, J. Go, H. M. Ku, Y. Jung, S. Hwang, B. Lee, Y. S. Lee, H.-K. Lee, K. Lee, E. K. Choe, “FluidTrack: Investigating Child-Parent Collaborative Tracking for Pediatric Voiding Dysfunction Management.”, ACM CHI Conference on Human Factors in Computing Systems (CHI ’25) -(Best Paper Award; Top 1%).
  • J. Shin, J. Moon, B. Kim, J. Eom, N. Park, K. Lee, “Attention-based Stress Detection Exploiting Non-contact Monitoring of Movement Patterns with IR-UWB Radar.”, ACM/SIGAPP Symposium on Applied Computing, 2021 (poster).
  • M. Lee, J. Moon, D. Cheon, J. Lee, K. Lee, “Respiration Signal based Two Layer Stress Recognition across Non-verbal and Verbal Situations.”, ACM/SIGAPP Symposium on Applied Computing, 2020.
  • J. Moon, J. Lee, D. Cheon, M. Lee, K. Lee, “Stress Recognition with State Classification Considering Temporal Variation of Stress Responses.”, IEEE International Conference on Bioinformatics and Biomedicine, 2019.
  • J. Moon, K. Lee, Y. S. Lee, “Integrated System of Monitoring and Intervention for In-home Healthcare and Treatment.”, ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, 2019 (doctoral colloquium).
  • S. Kye, J. Moon, J. Lee, I. Choi, D. Cheon, K. Lee, “Multimodal Data Collection Framework for Mental Stress Monitoring.”, ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, 2017 (workshop).
  • S. Kye, J. Moon, T. Lee, S. Lee, K. Lee, S. Shin, Y. S. Lee, “Detecting Periodic Limb Movements in Sleep using Motion sensor Embedded Wearable Band.”, IEEE International Conference on Systems, Man, and Cybernetics, 2017.
  • S. Lee, J. Moon, T. Lee, S. Kye, K. Lee, Y. S. Lee, S. Shin, “Sleep Stage Classification for Managing Nocturnal Enuresis through Effective Configuration.”, IEEE International Conference on Systems, Man, and Cybernetics, 2017.
  • J. Moon, S. Lee, T. Lee, S. Kye, Y. S. Lee, S. Shin, K. Lee, “A Prospective Study of Examining Physiological Signals for Estimating Occurrence of Nocturnal Enuresis.”, International Conference of the IEEE Engineering in Medicine and Biology Society, 2017.
  • S. Shin, J. Moon, S. Kye, K. Lee, Y. S. Lee, H. Kang, “Continuous Bladder Volume Monitoring System for Wearable Applications.”, International Conference of the IEEE Engineering in Medicine and Biology Society, 2017.
  • J. Moon, H. So, K. Lee, “Configurable Privacy Management for Secure Video Surveillance in Energy-constrained Systems.”, IEEE International Conference on Systems, Man, and Cybernetics, 2016.
  • J. Moon and K. Lee, “Integrated Visual Security Management for Video Encryption in Limited Battery Devices.”, IEEE Symposium on Embedded Systems for Real-time Multimedia, 2015. (workshop)
  • J. Moon and K. Lee, “Spatio-temporal Visual Security Metric for Secure Mobile Video Applications.”, ACM International Workshop on Mobile Video, 2015. (workshop)

저서/역서/편서