Seungchul Lee 
- : Deep learning integrated Bayesian health indicator for cross-machine health monitoring. In: Structural Health Monitoring.
- (2023): Data-driven stress and strain curves of the unidirectional composites by deep neural networks with principal component analysis and selective-data augmentation. In: Composite Structures, v. 313 (Juni 2023).
- (2013): Multi-objective optimization of indoor air quality control and energy consumption minimization in a subway ventilation system. In: Energy and Buildings, v. 66 (November 2013).
- (2014): Online monitoring and interpretation of periodic diurnal and seasonal variations of indoor air pollutants in a subway station using parallel factor analysis (PARAFAC). In: Energy and Buildings, v. 68 (Januar 2014).
- (2015): Evaluation of an optimal ventilation IAQ control strategy using control performance assessment and energy demand. In: Energy and Buildings, v. 98 (Juli 2015).
- (2017): Gain scheduling based ventilation control with varying periodic indoor air quality (IAQ) dynamics for healthy IAQ and energy savings. In: Energy and Buildings, v. 153 (Oktober 2017).
- (2019): A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station. In: Energy and Buildings, v. 202 (November 2019).
- (2019): Flexible real-time ventilation design in a subway station accommodating the various outdoor PM10 air quality from climate change variation. In: Building and Environment, v. 153 (April 2019).
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