Implementation of occupant-centric building control
Developing and validating HVAC control strategies driven by real-time occupant information.
Developing and validating HVAC control strategies driven by real-time occupant information.
Predicting mean radiant temperature with machine learning to drive rooftop package A/C in the Kuwaiti climate.
CFD-driven algorithm that finds the best installation location of adsorptive material in residential buildings.
CFD and experimental analysis of a naturally-ventilated slim double-skin window for energy savings.
Pressurized-ventilation control strategies validated in classrooms to lower PM concentrations.
Estimating metabolic rate and clothing insulation from computer vision — for thermal-comfort-aware HVAC control.