Vasiliki Fragkia
Papers
1
Total Citations
4
H-Index
1
About
Vasiliki Fragkia is a pioneering researcher at the intersection of computational design, robotic fabrication, and sustainable materials. Her work focuses on developing circular design workflows for functionally graded timber composites, where she integrates machine learning to predict and specify high-resolution, multi-grain responsive materials. Fragkia’s major contribution lies in creating methods that enable the robotic fabrication of wood-based thermal responsive composites, advancing the field of adaptive architecture and smart materials. Her most-cited paper, “Methods for the Prediction and Specification of Functionally Graded Multi-Grain Responsive Timber Composites” (2020), has garnered 4 citations, establishing a foundation for new circular design paradigms. This work demonstrates how machine learning can bridge material behavior prediction with fabrication precision, offering a path toward sustainable, responsive building components. Fragkia’s research is notable for its interdisciplinary approach, merging material science, robotics, and computational design to address environmental challenges. Her achievements include pioneering design-integrated methods that allow for the specification of graded material properties, enabling the creation of composites that respond to thermal stimuli. For students and researchers, Fragkia’s work exemplifies how cutting-edge technology can be harnessed to create a more sustainable and adaptive built environment.
Research Focus
Key Achievements
Top Papers
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