Software Engineer & AI Researcher specializing in embedded systems (Linux/Qt/C++), computer vision, and biomedical signal processing. Currently developing in-vehicle OEM navigation software at iNavi Systems, working on Linux/Qt application and core logic interfaces. Previously at Samsung Medical Center, where I built pose-estimation and biomedical-signal AI for rehabilitation and AFib detection, and at KBIOHealth (Osong Medical Innovation Foundation), where I delivered IoT edge-cloud healthcare platforms and led SaMD software validation. M.S. in Computer Software, Korea National University of Transportation, with 17 publications in computer vision and pattern recognition. If you have any questions, please contact me through the contact menu or send me an email.



Vision, Activity, Dust, Audio, Pattern Recognition, Object Detection, Unusual Event Detection, Abnormal Event Detection


Intelligence, vision, deep learning, high precision digital map, self-driving vehicles

Vision, audio, activity, dust, sensors, deep learning, abnormal event, patterns

Rapid-transit railway, Railway, Deep learning, Fusion

Abnormal event, Audio, Dust, Intelligent system, Vision

Intelligence, Vision, Deel learning, Unusual event, Pattern recognition
Activity, Audio, Deep learning, Emergency, Sensors, Vision

Self-driving vehicle, Road infrastructure, Deep learning, Machine learning, Localization

Vision, Activity, Dust, Pattern Recognition, Artificial Intelligence

Self-driving, Cars, Precision Maps, Road Traffic Recognition, Intelligent

Vision, Audio, Activity, Pattern Recognition

Self-driving, Localization, RSSI, Smart traffic lights, Kalman filter

Intelligent, Vision, Audio, home security


Vision, Image Processing, Audio, Fusion, Pattern, Daily Behavior, Single Households



Department of Software
Python , Tensorflow , PyTorch , Linux , OpenCV