Iro Armeni
Assistant Professor of Civil and Environmental Engineering
Bio
Iro Armeni is Assistant Professor of Civil and Environmental Engineering. She is interested in interdisciplinary research between Architecture, Civil Engineering, and Visual Machine Perception. Iro focuses on developing quantitative and data-driven methods that learn from real-world visual data to generate, predict, and simulate new or renewed built environments that place the human in the center. Iro's goal is to create sustainable, inclusive, and adaptive built environments that can support our current and future physical and digital needs. As part of her research vision, she is particularly interested in creating spaces that blend from the 100% physical (real reality) to the 100% digital (virtual reality) and anything in between, with the use of Mixed Reality.
Iro completed her PhD at Stanford University on August 2020, Civil and Environmental Engineering Department, with a PhD minor at the Computer Science Department. Afterwards she was a Postdoctoral Fellow at ETH Zurich working at both the Computer Science and Civil, Environmental, and Geomatic Engineering Departments (2023). Prior to her PhD, she received an MSc in Computer Science (Ionian University-2013), an MEng in Architecture and Digital Design (University of Tokyo-2011), and a Diploma in Architectural Engineering (National Technical University of Athens-2009). She has also worked as an architect and consultant for both the private and public sector.
Iro is the recipient of the ETH Zurich Postdoctoral Fellowship, the Google PhD Fellowship, and the MEXT Scholarship.
Academic Appointments
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Assistant Professor, Civil and Environmental Engineering
Professional Education
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Ph.D., Stanford University, Civil and Environmental Engineering Minor in Computer Science (2020)
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MSc., Ionian University, Computer Science (2013)
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MEng., University of Tokyo, Architectural Engineering (2011)
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Diploma, National Technical University of Athens, Architectural Engineering (2009)
2024-25 Courses
- Computer Vision for the Built Environment
CEE 247C (Win) - Designing for Gradient Spaces
CEE 342 (Spr) -
Independent Studies (8)
- Advanced Engineering Problems
CEE 399 (Aut, Win, Spr) - Directed Reading or Special Studies in Civil Engineering
CEE 198 (Aut, Win, Spr) - Independent Project in Civil and Environmental Engineering
CEE 199L (Aut, Win, Spr) - Independent Project in Civil and Environmental Engineering
CEE 299L (Aut, Win, Spr) - Independent Study in Civil Engineering for CEE-MS Students
CEE 299 (Aut, Win, Spr) - Report on Civil Engineering Training
CEE 398 (Aut, Win, Spr) - Undergraduate Honors Thesis
CEE 199H (Aut, Win, Spr) - Undergraduate Research in Civil and Environmental Engineering
CEE 199 (Aut, Win, Spr)
- Advanced Engineering Problems
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Prior Year Courses
2023-24 Courses
- Computer Vision for the Built Environment
CEE 247C (Win) - Designing for Gradient Spaces
CEE 342 (Spr)
- Computer Vision for the Built Environment
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Alberto Tono -
Master's Program Advisor
Alghalia Abulhasan, Khaled AlEssa, Devashree Choudhari, Sarah Hill, Andre Mai, Jayant Tanwar, Albertine Van Marcke -
Doctoral (Program)
Martin Bucher, Sayan Deb Sarkar, Tao Sun, Jianhao Zheng, Zhizhuo Zhou, Liyuan Zhu