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About

Ewa Grabska is a researcher whose work sits at the compelling intersection of computational design, knowledge representation, and intelligent systems. Her primary research areas span hierarchical graph-based building modeling, design reasoning, and the application of formal models to both architectural and robotic navigation problems. Grabska's most influential contribution, her 2016 work on extended hierarchical graph-based building models, has garnered 23 citations and offers a sophisticated framework for tackling complex design and engineering challenges through structured graph representations. Complementing this, her 2011 exploration of knowledge and reasoning in design systems (21 citations) established foundational principles for how intelligent systems can support and enhance the design process. Her research has also bridged the gap between architectural modeling and robotics: her 2019 paper on indoor robot navigation using BIM/IFC graph models (17 citations) demonstrates how building information standards can be leveraged to guide mobile robots through complex indoor environments — a prescient direction given the growing relevance of autonomous systems in everyday spaces. Across her body of work, Grabska consistently pursues the vision of intelligent, knowledge-driven computational tools that serve both human designers and autonomous agents, making her contributions valuable to researchers in architecture, AI, and human-robot interaction alike.