Johann George

Johann Paulose George is a graduate of the Design Technology program at CASE, RPI, where he earned his Master's degree.

He is passionate about building computational tools that unlock creative possibilities and streamline design workflows. He is currently focused on emerging AI techniques that help designers explore more ideas, iterate faster and make better-informed decisions.

At CASE, he developed a Rhino plugin that uses machine learning to assist architects during early-stage design. This tool uses graph neural networks to predict and improve a building's structural performance. It provides real-time feedback by spotting geometric changes, predicting drift, suggesting optimal sections, and offering design advice, including sustainability metrics, in plain language.