이력서
학력
Purdue University
Ph.D. in Mechanical Engineering · Maha Fluid Power Research Center
Pusan National University
B.E. in Mechanical Engineering
경력
Korea Institute of Robotics and Technology Convergence (KIRO)
2026.06 – 2026.08Research Intern · Digital twin and process optimization
Digital twin of a working restaurant kitchen: a CP-SAT schedule certified optimal against its critical-path lower bound, then reproduced in simulation within +0.97%.
IMAGEN Lab, Pusan National University
2025.09 – 2025.12Undergraduate Researcher
Closed-loop melt-pool thermal control for PF-LDED metal 3D printing, later published in IJPEM-GT.
Renault Korea Motors
2024.09 – 2025.06Industry collaboration · Capstone design
Led two teams on production-line vision: YOLO-based monitoring deployed on the factory floor, and CNN-embedding trim-number counting.
출판
Synthetic Data-Driven CNN for Bolt Pose Estimation: A Multi-Model Architecture Comparison
2025Journal of the Korean Society of Manufacturing Process Engineers, 24(12), 44–51 · first author
Synthetic training data rendered in Blender, a loss function that handles bolt azimuth symmetry, and a comparison across 15 CNN architectures.
ALOHA-DED: A Low-cost Open-source Hardware Architecture for Directed Energy Deposition Enabling In-Situ Thermal Control and Enhanced Microstructural and Mechanical Performance
2026.07International Journal of Precision Engineering and Manufacturing-Green Technology · Rezazadeh et al., co-author
An open-source DED platform whose pyrometer-fed closed loop held 1800 °C against a 300 °C open-loop drift, giving finer grains and 20–30% higher micro-hardness.
Analysis-by-Synthesis Bolt Pose Estimation by CNN Embedding Similarity
2025B.S. thesis, Pusan National University
Training-free bolt pose estimation: frozen ResNet18 embeddings matched against Blender renderings by ternary search, under 1° average error. English PDF · 국문 PDF
스킬
Control
AI / Machine Learning
Computer Vision
Autonomous Driving
Digital Twin
Manufacturing
Languages & Tools
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