Andrea Carrara

Andrea Carrara is a Researcher at the Technical University of Munich's Chair of Computing in Civil and Building Engineering, led by Prof. André Borrmann. Holding an M.Sc., she contributes to AI-driven civil engineering research and teaches courses including Professional Software Development. Her work bridges computer science and construction through advanced technical drawing analysis.

Her research specializes in applying computer vision and deep learning to construction documentation, with core expertise in graph neural networks for technical drawing segmentation, 3D reconstruction from 2D layouts, and BIM automation. She develops AI solutions for extracting semantic information from architectural drawings to streamline project data management in complex infrastructure development.

Analysis of her publications reveals a consistent focus on neural architectures like Vision Transformers and Graph Attention Networks applied to construction drawings. Key trends include multi-view fusion techniques, mono-depth estimation for façade modeling, and material classification systems—collectively advancing digital twinning for sustainable building practices and automated construction documentation.

Scientific Awards: No awards or fellowships are documented in available sources.

Carrara supervises master's theses including Kairlapova (2024) on material detection in architectural drawings and Ahmed (2022) on bridge element detection. Her research aligns with the DrawOn project for AI-based construction plan analysis, though specific grant funding details remain unpublicized.

She actively contributes to TUM's BIM-Lab and research groups in Information Management and Digital Twinning, collaborating on AI integration for civil engineering workflows and participating in the Chair's initiatives for computational methods in infrastructure development.