Iro Armeni

Iro Armeni is an Assistant Professor in Civil and Environmental Engineering at Stanford University, where her research sits at the intersection of architecture, civil engineering, and visual machine perception. Her work focuses on developing quantitative, data-driven methods that learn from real-world visual data to analyze, simulate, and reimagine built environments with humans at the center. Armeni’s research explores how physical and digital spaces merge—from fully real to fully virtual—using machine perception and mixed-reality technologies. Her goal is to design sustainable, adaptive, and inclusive environments that meet future human, technological, and infrastructural needs. She brings a uniquely interdisciplinary background, with training in architectural engineering, computer science, and robotics-adjacent perception systems, and previously held positions at ETH Zurich after completing her PhD at Stanford. Her laboratory actively collaborates across engineering, architecture, and AI, and welcomes motivated students from diverse fields.