YeongHyeon Park
Contact
Education
Ph.D. in SungKyunKwan University (SKKU). (2022.02 - ongoing)
Department of Electrical and Computer Engineering
M.S. in Hankuk University of Foreign Studies (HUFS). (2018.03 - 2020.02)
Department of Computer and Electronic Systems Engineering
B.S. in Hankuk University of Foreign Studies (HUFS). (2012.02 - 2018.02)
Digital Information Engineering - Award Excellent Bachelor's Thesis
International Business
WORK EXPERIENCE
SK Planet Co., Ltd. (2019.09 - ongoing)
Research and Develop the Anomaly Detection System
Publications: SCIE: 3, International conference: 5
Vision & Signal Processing Lab. Hankuk University of Foreign Studies (HUFS). (2017.09 - 2019.08)
Research on Biosignal Analysis, Medical Image Analysis, and Anomaly Detection
Publications: SCIE: 4
StoryAnt INC. (2017.01 - 2017.02)
Research and Develop the Intelligent Archive
Publications
YeongHyeon Park, Uju Gim, and Myung Jin Kim. "Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection". IEEE International Conference on ICT Convergence. 2023
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, 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. 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, 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, 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
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
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, Il Dong Yun. Comparison of RNN Encoder-Decoder Models for Anomaly Detection. arXiv. 2018
Certifications
NVIDIA DLI Certificate - Deep Learning for Industrial Inspection. NVIDIA
Big Data Analysis Engineer. KOREA Data Agency
NVIDIA DLI Certificate - Applications of AI for Anomaly Detection. NVIDIA
Advanced Data Analytics Semi-Professional. KOREA Data Agency
COVID19 Data Analysis Using Python. Coursera
Deep Learning Specialization. Coursera
Graphic Technical Qualification. Korea Productivity Center
Patents
Several pending status patents exist in environmental and industrial fields.
ECG Preprocessing Method and STEMI Detection method. Republic of Korea. 2021
A System and Method for Early Diagnosing Dental Caries base on The Deep Learning. Republic of Korea. 2020
Apparatus and Method for Anomaly Detection of SMD Assembly Device Operation based on Deeplearnig. Republic of Korea. 2020
Additional Activities
Reviewer on Scientific Reports: [2023.09]