The Manufacturing AI Research Center was newly established on January 1, 2024, as a direct organization under the Vice President of the Korea Institute of Industrial Technology. It aims to concentrate capabilities on developing an AI platform for the "AI-based innovation in manufacturing" initiative, promoting the rapid dissemination of the developed platform, and fostering in-house AI experts.
Hong-In Won, Ph.D.
Principal Researcher · Korea Institute of Industrial Technology
Researcher Profile
Hong-In Won, Ph.D.
Principal Researcher, Korea Institute of Industrial Technology (KITECH)
Chief of the Manufacturing AI Cooperation Team
Adjunct Professor, HYU-KITECH Joint Department, Graduate School, Hanyang University
Dr. Hong-In Won models connected worlds and brings technologies, systems and people together to explore new possibilities through simulation. His work combines digital twins, AI, robotics and physical simulation to build integrated systems and conduct virtual-to-physical experiments. Manufacturing is a major application area, with interests extending to supply chains and user interactions.
He received his Ph.D. in Mechanical Design Engineering from Hanyang University in 2017 and conducted postdoctoral research in virtual engineering at TU Dresden from 2017 to 2019. He is a Principal Researcher at KITECH and an Adjunct Professor in the HYU-KITECH Joint Department, Graduate School, Hanyang University.
Research Focus
Connected-World Modeling
Modeling and simulation of interacting physical and digital systems, from manufacturing and logistics to supply chains and user behavior.
Digital Twin Systems
Building digital worlds that connect data, physics and system behavior, and exploring new possibilities through simulation and virtual-to-physical experiments.
AI, Robotics and Integration
Connecting AI agents, robots and existing engineering technologies to build and study integrated cyber-physical systems.
Selected Research Outputs and Engagement
Selected External Engagements
- Unite Seoul 2026 — industry presentation, “A Unity Digital Twin-based Synthetic Data Pipeline for Manufacturing AI.”
- KOREATECH Future Technology Education Center Faculty Training (2026) — “Building and Applying Multi-Agent Systems in the AI Agent Era.”
- Korea Institute of Civil Engineering and Building Technology (2026) — invited workshop, “The Evolution of AI Agent Engineering.”
Professional Leadership & Service
- Adjunct Professor, HYU-KITECH Joint Department, Graduate School, Hanyang University (since September 2026).
- Executive Director and Academic Committee Member, Korean Society for Noise and Vibration Engineering.
- Expert Committee Member for equipment-diagnosis qualification and training evaluation.
Selected Research Outputs
- “Adaptive Task Token Framework for Multi-Agent Logistics Operations.” IEEE Robotics and Automation Letters, 2026. Accepted for publication.
- “Digital twin-based test-time adaptation for robust visual perception in manufacturing.” Engineering Applications of Artificial Intelligence, 2026.
- “AI-driven multivariate time series forecasting of transmembrane pressure in ultrafiltration: A stationarity-aware approach.” Journal of Water Process Engineering, 2025.
- “FALCON: Fine-grained Alignment for Counting Objects in Industry.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026.
- “Digital Twin-based Robust Viewpoint Sampling for Automated Robotic Inspection.” IEEE International Conference on Industrial Cyber-Physical Systems, 2026.
Research Profiles and Links
Official affiliation, publication record, and public research activity.