박영현
박영현 교수
박영현
전공컴퓨터공학 (Computer Engineering)
연락처
yeongpark@cha.ac.kr
학력
- 성균관대학교 컴퓨터공학 박사
- 한국외국어대학교 컴퓨터전자시스템공학 석사
- 한국외국어대학교 컴퓨터전자시스템공학 학사
경력
- 현) 차의과학대학교 헬스케어융합학부 소프트웨어융합전공, 조교수
- 전) The University of Texas MD Anderson Cancer Center, Postdoctoral Fellow
- 전) SK플래닛, Research Engineer
- Best Conference Paper Award, IEEE International Conference on Architecture, Construction, Environment and Hydraulics, 2021
- IoT Awards 2021 과학기술정보통신부 장관 표창, 2021
- 국토교통부 ‘ITS 혁신기술 공모사업 ITS혁신기술, 2021
- Apparatus and method for analyzing road surface condition, US12510515B2, 2025
- Apparatus and method for anomaly detection, US12468948B2, 2025
- Apparatus and method for analyzing road surface condition based on vehicle noise, US12442796B2, 2025
- Apparatus and system for detecting road surface condition and method for detecting road surface condition by using same, US12300101B2, 2025
- 가설 가지치기 방식 생산적 적대 신경망 기반 미세먼지센서의 이상을 탐지하기 위한 장치 및 이를 위한 방법, 국내 등록특허 10-2843506, 2025
- 그래프 기반의 액상 제품에 대한 이물 관리 방법 및 이를 지원하는 장치, 국내 등록특허 10-2737477, 2024
- 액상 제품에 대한 이물 관리 방법 및 이를 지원하는 장치, 국내 등록특허 10-2737476, 2024
- 노면 상태 탐지 장치 및 시스템, 이를 이용한 노면 상태 탐지 방법, 국내 등록특허 10-2609459, 2023
- 심전도 전처리 방법 및 ST 상승 심근경색 검출 방법, 국내 등록특허 10-2451751, 2022
- 노면 상태 탐지 장치 및 시스템, 이를 이용한 노면 상태 탐지 방법, 국내 등록특허 10-2346533, 2021
- 딥러닝 기반 표면 실장 부품 조립 장치의 동작 이상 검출 장치 및 방법, 국내 등록특허 10-2179040, 2020
[경력]
[수상]
[특허]
논문
- YeongHyeon Park, Sungho Kang, Myung Jin Kim, Yeonho Lee, Hyeong Seok Kim, Juneho Yi, “Visual Defect Obfuscation Based Self-Supervised Anomaly Detection”, Scientific Reports, 2024
- YeongHyeon Park, Myung Jin Kim, Uju Gim, Juneho Yi, “Boost-up Efficiency of Defective Solar Panel Detection with Pre-trained Attention Recycling” IEEE Transactions on Industry Applications, 2023
- YeongHyeon Park, JongHee Jung, “Efficient Non-Compression Auto-Encoder for Driving Noise-Based Road Surface Anomaly Detection” IEEJ Transactions on Electrical and Electronic Engineering, 2022
- YeongHyeon Park, Won Seok Park, Yeong Beom Kim, “Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network”, ETRI Journal, 2020
- YeongHyeon Park, Il Dong Yun, Si-Hyuck Kang, “The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method”, IEEJ Transactions on Electrical and Electronic Engineering, 2020
- YeongHyeon Park, Il Dong Yun, Si-Hyuck Kang, “Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG”, IEEE Access, 2019
- YeongHyeon Park, Il Dong Yun, “Arrhythmia Detection in Electrocardiogram based on Recurrent Neural Network Encoder–Decoder with Lyapunov Exponent”, IEEJ Transactions on Electrical and Electronic Engineering, 2019
- YeongHyeon Park, Il Dong Yun, “Fast Adaptive RNN Encoder–Decoder for Anomaly Detection in SMD Assembly Machine”, Sensors, 2018
- YeongHyeon Park, Sungho Kang, Myung Jin Kim, Hyeong Seok Kim, Juneho Yi, “Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection”, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2025 VAND3.0 workshop), 2025
- YeongHyeon Park, Myung Jin Kim, Hyeong Seok Kim, “Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detection”, IEEE International Symposium on Biomedical Imaging (ISBI), 2025
- Myung Jin Kim YeongHyeon Park, “Encouraging LLM Thought Improvements for Medical Diagnosis Consistency”, IEEE International Symposium on Biomedical Imaging (ISBI), 2025
- YeongHyeon Park, Sungho Kang, Myung Jin Kim, Yeonho Lee, Juneho Yi, “Exploiting Connection-Switching U-Net for Enhancing Surface Anomaly Detection”, IEEE International Conference on Electrical, Control and Instrumentation Engineering (ICECIE), 2024
- YeongHyeon Park, Sungho Kang, Myung Jin Kim, Hyeonho Jeong, Hyunkyu Park, Hyeong Seok Kim, Juneho Yi, “Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
- Hanbyul Lee*, YeongHyeon Park*, Juneho Yi (* Equal contribution), “Enhancing Defective Solar Panel Detection with Attention-guided Statistical Features using Pre-trained Neural Networks” IEEE International Conference on Big Data and Smart Computing (BigComp), 2024
- YeongHyeon Park, Uju Gim, Myung Jin Kim, “Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection” IEEE International Conference on Information and Communication Technology Convergence (ICTC), 2023
- Sungho Kang, Hyunkyu Park, YeongHyeon Park, Yeonho Lee, Hanbyul Lee, Seho Bae, Juneho Yi, “Exploiting Monocular Depth Estimation for Style Harmonization in Landscape Painting”, IEEE International Conference on Knowledge Innovation and Invention (ICKII), 2023
- Hyunkyu Park, Sungho Kang, YeongHyeon Park, Yeonho Lee, Hanbyul Lee, Seho Bae, Juneho Yi, “Unsupervised Image-to-Image Translation Based on Bidirectional Style Transfer”, IEEE International Conference on Knowledge Innovation and Invention (ICKII), 2023
- YeongHyeon Park, Myung Jin Kim, Won Seok Park, Juneho Yi, “Recycling for Recycling: RoI Cropping by Recycling a Pre-trained Attention Mechanism for Accurate Classification of Recyclables” IEEE International Conference on Smart Information Systems and Technologies (SIST) 2023
- YeongHyeon Park, Myung Jin Kim, Won Seok Park, “Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance” IEEE International Conference on Big Data and Smart Computing (BigComp) 2023
- YeongHyeon Park, Myung Jin Kim, Uju Gim, “Attention! Is Recycling Artificial Neural Network Effective for Maintaining Renewable Energy Efficiency?”, IEEE Texas Power and Energy Conference (TPEC) 2022
- YeongHyeon Park, JongHee Jung, “Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise”, IEEE International Conference on Architecture, Construction, Environment and Hydraulics (ICACEH), 2021 [Best Conference Paper Award]
- YeongHyeon Park, Myung Jin Kim, “Design of Cost-Effective Auto-Encoder for Electric Motor Anomaly Detection in Resource Constrained Edge Device”, IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE), 2021
[International Journal]
[International Conference]