Team
Professor
01 · Background
Principal InvestigatorProf. Ju-Hong Oh · Photo coming soon
Ju-Hong OhAssistant Professor · Ph.D. in Engineering
AI x for building autonomy
I combine physics-based models with operational data to extend the range of prediction, and interpret how buildings operate through physical cause and effect.
By training agents on a digital twin, I aim to realize autonomous operation in which buildings assess their own state and demand, make decisions, and control themselves.
- Academic degrees
- Ph.D. in Engineering · Department of Architectural Engineering, Inha University (2021.03 – 2025.02)
- M.S. in Engineering · Department of Architectural Engineering (Planning), Inha University (2013.09 – 2015.08)
- B.S. in Engineering · Architectural Engineering, School of Architecture, Inha University (2005.03 – 2012.02)
- Employment
- Assistant Professor · Department of Architectural Engineering, Pukyong National University (2026.09 – present)
- Senior Researcher · Industrial Science and Technology Research Institute, Inha University (2025.03 – 2026.08)
- Researcher · Korea Institute of Green Climate Technology (2017.05 – 2025.01)
- Korea Conformity Laboratories (KCL) (2016.08 – 2017.04)
- Research Areas
- Building energy and HVAC system modeling · Physics- and data-based hybrid modeling (SINN) · Digital twin-based autonomous control · Fault detection and diagnosis (FDD) · Measurement and verification (M&V) of energy savings
- Tools
- TRNSYS · EnergyPlus · Python (PyTorch, TensorFlow, Stable-Baselines3) · MATLAB · BEMS/BAS data analysis
02 · Collaboration
Collaboration with Industry and Research Institutes
We welcome joint research on building operation diagnosis, performance improvement, and control strategies.
Topics for joint research and technical consulting are shaped around your data and site conditions.
Possible research topics
- Physics- and data-based performance prediction models using limited operational data
- Physics-informed interpretation of equipment performance, fault detection and diagnosis (FDD), and measurement and verification (M&V) of energy savings
- Building and equipment digital twins: training and evaluating operating strategies, and reviewing field deployment
- Integrated modeling and operating strategies for heat pump, thermal storage, and hydrothermal systems
- Development of equipment design and performance evaluation programs
How we work together
- National R&D consortia and industry–university joint research
- Technical consulting and contract research
- Student internships and field training
Please send us a brief outline of the problem, the target systems, and the data you have.