The SDDAI research group operates as a high-tech "Digital Think Tank." Our resources are rooted in advanced computational expertise, cloud-based frameworks, and strategic data access, ensuring that our research is both cutting-edge and globally accessible.
We leverage the power of open-source technology to build transparent and scalable architectural solutions:
AI & Machine Learning Environments: Mastery of open-source libraries (e.g., Python, TensorFlow, Scikit-learn) for developing predictive models in building performance and energy efficiency.
Algorithmic Design Engines: Utilization of advanced visual programming and scripting (e.g., Grasshopper, Dynamo) to create generative and parametric design workflows.
Data Science for AEC: Advanced proficiency in data cleaning and analysis tools to process urban environmental datasets.
Our technical capacity allows us to simulate real-world environments with high precision without the need for heavy physical infrastructure:
Environmental Performance Simulation: Expertise in industry-leading simulation engines (e.g., Ladybug & Honeybee Tools) for daylighting, thermal comfort, and carbon footprint analysis.
BIM-Centered Workflows: Leveraging cloud-based Building Information Modeling (BIM) to facilitate collaborative design and lifecycle management.
Proprietary Methodological Frameworks: We have developed unique research methodologies that bridge the gap between AI theory and architectural practice.
Local Urban Databases: Curated datasets focused on the Jordanian built environment, specifically tailored for Amman’s unique climatic and urban challenges.