PUBLICATIONS BY THE AI+HPB LAB:

Rania Labib: "Leveraging Multimodal Large Language Models (LLM) for Enhanced Learning and Application in Building Energy Modeling". The 2024 International Building Physics Conference. Toronto, Canada.

Rania Labib: “The application of Physics Informed Neural Network (PINNS) and High-Performance Computing (HPC) in Building Performance Simulations”. Energy and Buildings Journal (In review- Special Edition on AI for Advancing Building Performance Simulations)

Rania Labib: “Integrating Machine Learning with Parametric modeling Environments to Predict Buildings Daylighting Performance”. The 2022 Sustainable Built Environments International Conference, October 2022, Delft, Netherlands.

Rania Labib: Machine Learning-Based Framework to Predict Single and Multiple Daylighting Simulation Outputs Using Neural Networks. The 2021 IBPSA International conference, September 2020, Burges, Belgium.

Rania Labib: Utilizing High Performance Computing to Improve the Application of Machine Learning for Time-Efficient Prediction of Buildings’ Energy and Daylighting Performance. The 2021 IBPC International conference, September 2021, Copenhagen, Denmark.

Rania Labib, Mark Clayton: Automated Computer Vision Recognition Based Method to Determine Glare Causing Patches on Reflective Façades. The 2020 PLEA Conference, September 2020, Courna, Spain