TU Wien CAIML

Knowledge Discovery in Architecture

Coordinator: Milica Vujovic

Chair: Asst. Prof. Dr. Milica Vujovic, TU Wien
Co-chair: Prof. Dr. Michael U. Hensel, TU Wien

Scientific Focus of the Group

The proposed SIG focuses on complex design and planning problems in architecture and spatial planning. Emphasis is placed on multi-domain and multiscale planning and design problems and the role of AI and ML in enabling data-driven knowledge discovery and decision support. An evidence-based approach aims to support the effectiveness of decision-making in design by creating models and interpreting the built environment using data (Figure 1). The SIG aims to create a framework where decision-making in architectural and spatial design of various scales are supported by AI and ML.

Figure 1: Block diagram of connecting different key topics and methods
Figure 1: Block diagram of connecting different key topics and methods

Activities

Board Members