Roya Rezaee is co-director of Energy Lab at Perkins&Will, and instructor at Georgia Institute of Technology, School of Architecture. She has a PhD. in High Performance Building, with an expertise in design and a broad areas of building technology including energy performance, daylight performance, water consumption, life cycle assessment, parametric design, optimization, building information modelling (BIM), model-based system engineering, and risk assessment in performance prediction. Her main career at the firm focuses on the development of a novel integrated platform that enables designers make informed multi-disciplinary decision from the early stages of architectural design.

EXPERTISE

Building Performance Assessment 
Project's Samples
Design Exploration and Optimization
Project's Samples
Design Computing
Project's Samples
Data Analysis
Project's Samples

RESEARCH INTERESTS

DATA-DRIVEN MODEL

 

Using models in which learning and knowledge is driven by data rather physic-based tools 

RISK AND UNCERTAINTY ASSESSMENT

Using uncertainty analysis to investigates the uncertainty of variables that are used in decision-making 

MACHINE LEARNING

 

Using Machine learning as a method of data analysis that automates analytical model building