Ph.D. student, Cary Faulkner, recorded two presentations for the ISHVAC 2021 Virtual Conference on Healthy, Smart and Interactive Built Environment. These presentations were titled A Novel Physics-informed Algorithm for Training AI Models to Predict Indoor Airflow and MERV 13 Filtration for Office Buildings During COVID-19 Pandemic. Additionally, he received best paper awards for both these works.
As Cary continues his third year of PhD study in the SBS lab, he will resume working on developing physics-based building system models for evaluating advanced control strategies to improve building energy efficiency and indoor environment. His research interests include building system modeling, computational fluid dynamics, indoor environment modeling, and machine learning. For more insights on Cary's background and his scholarly activities, including recordings of his recent award-winning conference publications, please visit his personal webpage.
Congratulations to Cary on these well-deserved awards and wish him all the best in his future work!