Barbara Strug

Papers

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About

Barbara Strug is a leading researcher in the application of graph-based models to architectural design, engineering, and robotics. Her work centers on developing extended hierarchical graph representations that bridge the gap between building information modeling (BIM) and computational problem-solving. Strug’s most influential contribution is her 2016 paper, "An extended hierarchical graph-based building model for design and engineering problems," which has garnered 23 citations and provides a foundational framework for representing complex building structures as layered graphs. This model enables more efficient analysis and reasoning in design tasks. Building on this, her 2019 study, "Indoor Robot Navigation Using Graph Models Based on BIM/IFC" (17 citations), demonstrates a practical application by translating BIM data into navigable graph structures for autonomous robots. This work is notable for integrating semantic building information with path-planning algorithms, advancing indoor robotics. Strug’s research is pivotal for fields such as computer-aided design, facility management, and autonomous systems, offering scalable solutions that unify geometric and semantic data. Her achievements highlight the power of graph theory in transforming static building models into dynamic, actionable tools for engineering and robotics.