Pouria Nia

• Developed Python-based GUI prototypes to control variables and provide real-time feedback during robotic fabrication experiments. • Implemented basic OpenCV-based object detection, supporting computer-aided sensing and human-robot collaboration testing.

• Developed Python-based inverse-design and optimization workflows using Gurobi to minimize material use and simulate the structural behavior of concrete systems. • Supported experimental testing of physical concrete components, linking simulation outputs and computational predictions with physical test observations.

• Developed parameter-driven generative design workflows for automated digital construction. • Produced material segmentation algorithms and computational toolpaths for large-scale robotic execution.

Final grade: 1.9. Focus on digital fabrication, robotic systems, and automation in construction.