Hyungcheol Noh
Research Engineer @ Innodep Inc.
About
I am an AI research engineer currently working in the AI Research division of Innodep. I am working for Innodep to advance their current smart surveillance solution and develop a new AI-based smart security platform. I am familiar with probability theory and statistics, and I am also an experienced Python developer. I am good at dealing with the following Python frameworks: Deep learning frameworks (e.g. PyTorch, TensorFlow), Data manipulation libraries (e.g. Numpy, Pandas), Backend frameworks (e.g. FastAPI) My current research interests are information-theoretic approaches for deep learning modeling, computer vision for smart surveillance, and vision-language models for image information analysis. - 8 years of work experience: 2018 ~ 2025 - Industries: Software (2018 ~ 2021), Edutech (2021 ~ 2023), Physical Security (2023 ~ Present)
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South Korea
Information Technology & Services
Triton Inference Server, Kafka, 도커, FastAPI, 소프트웨어 프로젝트 관리, Recommender Systems, 컴퓨터 비전, 머신러닝, 강화학습, 자연어 처리, 통계, 데이터 과학, Deep Learning, PyTorch, TensorFlow, Keras, 파이톤
Experience
Research Engineer
Innodep Inc.
서울, 대한민국
2026-Present: Next-generation intelligent surveillance solution project "VUAgent" 2025 IT21 Conference Speech - Session P6-1. "The direction of AI research on physical security surveillance in response to the post-GPT era" - Sponsored by KIPS (Korea Information Processing Society) 2024-Present: Project manager of the global joint R&D "Development of Multimodal Foundational Models and AI Accelerators for Zero-shot Intelligent Surveillance System" sponsored by KIAT (Korea Institute for Advancement of Technology) - Joint R&D with Yonsei Univ, Imperial College London, Queen Mary University of London, and Rebellions 2023-2025: Development of the intelligent surveillance solution "VUCatcher"
초빙 연구원
Queen Mary University of London
영국 런던
School of Electronic Engineering and Computer Science - Supervised by Prof. Changjae Oh - Research on vision-language models
AI Research Director
개념원리
대한민국 서울
AI Edutech Service R&D - AI Edutech Service Design - Knowledge Tracing & Graphical Model based Student Diagnosis Model R&D - Reinforcement Learning & Collaborative Filtering based AI Tutoring Model R&D - FastAPI based AI Service Backend Server Development
Research Team Manager
TmaxA&C
대한민국 경기도 성남
Knowledge Base R&D - Knowledge Graph based Knowledge Base Schema R&D - NLP and Semantic Parsing based Knowledge Base Automated Construction Technology R&D - Representation Learning based Knowledge Base Contents Recommender System R&D
Research Engineer
TmaxA&C
대한민국 경기도 성남
Knowledge Base R&D - Knowledge Graph based Knowledge Base Schema R&D - NLP and Semantic Parsing based Knowledge Base Automated Construction Technology R&D - Representation Learning based Knowledge Base Contents Recommender System R&D
Research Engineer
TmaxTibero
대한민국 경기도 성남
Prior AI Technology R&D - NLP Research (Feb 2018 - Sep 2018) - Speech Synthesis Research (Sep 2018 - Apr 2019) - Knowledge Tracing Research (Apr 2019 - Dec 2019) - Recommender Systems Research (Apr 2019 - Dec 2019)
Education
Korea Advanced Institute of Science and Technology
Electrical Engineering
- Research on Machine Learning and Reinforcement Learning
Yonsei University
Electrical and Electronic Engineering
University of Seoul-서울시립대학교
Electrical and Computer Engineering
- Transferred to Yonsei University after the 4th semester
Hyungcheol Noh's Contact Information
Phone
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