Summary
Hyungcheol Noh is an AI research engineer with eight years of experience building machine learning and intelligent systems across software, edutech, and physical security domains. Currently leading R&D at Innodep, he manages a global multimodal foundational model project and architects AI-driven smart surveillance solutions like VUCatcher. He combines strong probabilistic and statistical foundations with hands-on Python expertise in PyTorch, TensorFlow, NumPy/Pandas and FastAPI to move models from research to production. His research focuses on information-theoretic approaches to deep learning, computer vision for surveillance, and vision-language models—work recognized through industry sponsorships and conference presentations. Unusually, he bridges academic and industrial research, holding collaborative appointments with top universities and coordinating multinational R&D with partners including Imperial College and Yonsei University. Based in Seoul, he brings both product-focused delivery experience and deep theoretical curiosity to applied AI in security.
8 years of coding experience
5 years of employment as a software developer
Electrical and Computer Engineering, Electrical and Computer Engineering at University of Seoul-서울시립대학교
Bachelor's degree Electrical and Electronic Engineering, Bachelor's degree Electrical and Electronic Engineering at Yonsei University
Master's degree Electrical Engineering, Master's degree Electrical Engineering at Korea Advanced Institute of Science and Technology