AI & ML in Pre-Construction AEC

Undergraduate research dissertation evaluating artificial intelligence and machine learning integrations across architectural pre-construction phases. Investigated Deep Neural Networks (DNNs) and Generative Adversarial Networks (GANs) for floor plan synthesis, automated BIM clash detection, and digital twin lifecycle operations.

• Evaluated generative AI floor plan synthesis using GAN architectures
• Analyzed automated BIM parameter extraction and rule-based clash resolution
• Studied IoT sensor telemetry integration for architectural digital twins
• Published comprehensive framework for AI-assisted design automation