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

GRANTS:

Department of Education, Title III grant. Title: Building Assembly, Environmental and Artificial Intelligence Research through STEM-based Research and Education (BAE-AIR). $ 500,000

National Science Foundation grant, title “Digital Twin for Building Performance Simulation and Optimization in Adaptive Reuse Planning”. $100,000.

PRISE Research grant funded by Texas A&M University and Prairie View A&M University. Rania Labib, Co-PI: Mark Clayton and Robert Brown; Title: "An Interdisciplinary Team for Investigating a Machine Learning Framework for Predicting Outdoor Thermal Comfort to Reduce Energy Needs of Future Urban Development.". $30,000.

RISE Research grant funded by Prairie View A&M University. Title "Indoor and Outdoor Comfort in the Subtropics: Evaluation of Comfort in College Campus Buildings". $5000

Current Research:

The lab's researchers are currently working at the intersection of Large Language Models (LLM), also known as Natural Language Processing (NLP), Machine Learning models (ML), digital twins, and the high-performance built environment.