Background Knowledge (undergraduate level)
Mathematics / Statistics / Computer science
Industrial engineering / economics / management (some subjects making me interested)
Algorithm
Data science
AI / optimization / statistical analysis for data science
Computer graphics (geometric modelling)
Surface reconstruction from unorganized scanned point sets / Mesh and point sets processing
Computer vision
Metrology / Inspection (SEM image / depth and color image)
Tracking / Detection / Event detection
Machine learning application (AI)
AI (including deep learning) for data science (sunlight generation industry)
Machine learning /statistical modelling for computer graphics (esp. surface reconstruction)
Machine learning (deep learning) for computer vision (esp. inspection / surveillance)
Application Field
Sunlight generation industry
Digital dentistry (CT data manipulation, Tooth design CAD, Implant planning)
Machine vision for semiconductor(SEM image) / PCB board(color and depth image)
Surveillance
Algorithm implementation
Python (TensorFlow and Pytorch) / MATLAB
Optimization library and solver (Pyomo, Gurobi, OrTool)
C / C++ (modern C++ , STL and MFC)
OpenGL / OpenCV
SQL
Algorithm acceleration
Parallel processing implementation using GPU (CUDA) / SIMD
Software engineering
GIT / SVN / Design pattern / Object oriented design / Jenkins / redmine
Mincheol Yoon / Mincheol's Publications / Mincheol's Patents / Mincheol's Skill / Mincheol's Private