Jin-man Park
박사과정 at 한국과학기술원(KAIST)
Daejeon, South Korea
Summary
👤
Senior🎓
Top SchoolJin-man Park is a doctoral researcher at KAIST's Robot Intelligence Technology Lab with a decade of experience focused on deep learning for anomaly, defect, and change detection as well as scene understanding. Based in Daejeon, he combines rigorous electrical and electronic engineering training with hands-on research deploying intelligent vision systems. His work bridges fundamental AI research and practical inspection tasks, emphasizing robust detection in complex environments. He maintains an active GitHub presence and brings a researcher’s rigor to reproducible code and experiment-driven development. Notably, his profile reflects long-term commitment to advancing robotic perception through both academic inquiry and open engineering.
10 years of coding experience
박사과정, 전기 및 전자 공학, 박사과정, 전기 및 전자 공학 at 한국과학기술원(KAIST)
Github Skills (51)
detector10
platform-independent10
deep-reinforcement-learning9
temporal9
hierarchical9
simulator9
airsim9
unreal9
control-systems9
computer-vision9
scene8
intelligent8
hierarchical-temporal-memory8
drones8
theory8
Programming languages (3)
Github contributions (5)
chickenbestlover/RNN-Time-series-Anomaly-Detection
Mar 2018 - Jun 2023
RNN based Time-series Anomaly detector model implemented in Pytorch.
Contributions:65 pushes, 1 branch, 29 comments in 5 years 3 months
pytorchanomalyrnndeep-learningmachine-learning
SAMMiCA/SimSaC
Mar 2022 - Aug 2022
Contributions:20 commits, 18 pushes, 1 branch in 4 months
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