Mr. Hamin Chong, Ls Mtron, South Korea
Mr. Hamin Chong is a skilled computer vision expert with a master’s degree in Industrial Data Engineering from Hanyang University. Currently serving as a Research Engineer at LS Mtron, a major player in agricultural machinery manufacturing, he specializes in AI-based technology research and system development. Hamin has excelled in developing anomaly detection and object detection models, contributing to quality improvement in manufacturing processes. His innovative work includes creating a real-time leakage inspection support system and a lightweight engine exterior inspection model, showcasing his ability to enhance model accuracy with limited data. With a background in mechanical engineering and experience at the Advanced Manufacturing Laboratory, Hamin is dedicated to smart manufacturing systems and has actively contributed to standardizing data in continuous process industries. His expertise extends to unsupervised and integrated ensemble learning algorithms for anomaly detection, as evidenced by publications and patents. Proficient in Python, SQL, and Tableau, Hamin is a dynamic professional who continually seeks to bridge the evolving boundaries between natural language processing and computer vision.
🌐 Professional Profiles :
Scopus
🛠️ Experience:
- LS Mtron (Research Engineer)
- AI-based technology research and system development.
- Real-time leakage inspection support system with a high accuracy model (f1 score: 0.92).
- Development of lightweight engine exterior inspection model with a 90% size reduction.
- Advanced Manufacturing Laboratory
- Smart manufacturing systems developer contributing to industry competitiveness.
- Standardization of shared data in continuous process industries.
- Development of unsupervised and integrated ensemble learning-based automatic labeling and anomaly detection algorithm.
📚 Education:
- Master’s degree in Industrial Data Engineering, Hanyang University.
- Bachelor’s degree in Mechanical Engineering, Sungkyunkwan University.
📝 Paper & Patent:
- Method for detecting welding defects and learning method for detecting welding defects (2022).
- Data-fused and concatenated-ensemble learning for in-situ anomaly detection in wire and arc-based direct energy deposition, Journal of Manufacturing Processes (2024).
🚀 Skills:
- Language: Python, SQL.
- Big Data Analyst, Data Analysis Associate, SQL Developer.
- BI: Tableau (Training Completion: Oct-Nov 2023).
🧠Research Interests :
Hamin Chong is a visionary computer vision expert with a fervent interest in transforming data landscapes. 🌐 Armed with a master’s degree in Industrial Data Engineering, he excels in developing innovative solutions for anomaly detection and object recognition. As a Research Engineer at LS Mtron, he played a pivotal role in AI-based technology research, enhancing manufacturing processes through real-time leakage inspection support systems and lightweight engine exterior inspection models. Hamin’s journey extends to the Advanced Manufacturing Laboratory, where he contributed to standardizing shared data in continuous process industries and pioneered unsupervised ensemble learning for automatic labeling and anomaly detection. 🚀 With a robust skill set in Python, SQL, and Tableau, he embraces challenges in Big Data Analysis, embodying a commitment to shaping the future of smart factories. 📊✨
Publications Top Notes :
Title: Data-fused and concatenated-ensemble learning for in-situ anomaly detection in wire and arc-based direct energy deposition
Authors: Kim, D.B., Chong, H., Mahdi, M.M., Shin, S.-J.
Published Year: 2024
Journal: Journal of Manufacturing Processes