- Analysis of ventilation and infiltration rates using physics-informed neural networks: Impact of space operation and meteorological factors. In: Building and Environment, v. 267 (January 2025). (2025):
- Hybrid models of machine-learning and mechanistic models for indoor particulate matter concentration prediction. In: Journal of Building Engineering, v. 86 (June 2024). (2024):
- Ventilation strategy for simultaneous management of indoor particulate matter and airborne transmission risks – A case study for urban schools in South Korea. In: Building and Environment, v. 242 (August 2023). (2023):
- Development and validation of a dynamic mass-balance prediction model for indoor particle concentrations in an office room. In: Building and Environment, v. 207 (January 2022). (2022):
- Estimation of the real-time infiltration rate using a low carbon dioxide concentration. In: Journal of Building Engineering, v. 42 (October 2021). (2021):
- Automated processes of estimating the heating and cooling load for building envelope design optimization. In: Building Simulation, v. 11, n. 2 (October 2017). (2017):
- A systematic approach for energy efficient building design factors optimization. In: Energy and Buildings, v. 89 (February 2015). (2015):
- A bi-directional systematic design approach to energy optimization for energy-efficient buildings. In: Energy and Buildings, v. 120 (May 2016). (2016):
- Impacts of building envelope design factors upon energy loads and their optimization in US standard climate zones using experimental design. In: Energy and Buildings, v. 141 (April 2017). (2017):
- Energy-cost analysis of HVAC system for office buildings: Development of a multiple prediction methodology for HVAC system cost estimation. In: Energy and Buildings, v. 173 (August 2018). (2018):
- Identifying stack-driven indoor environmental problems and associated pressure difference in high-rise residential buildings: Airflow noise and draft. In: Building and Environment, v. 168 (January 2020). (2020):
- Meta-models for building energy loads at an arbitrary location. In: Journal of Building Engineering, v. 25 (September 2019). (2019):