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
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Project's Samples

RESEARCH INTERESTS

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DATA-DRIVEN MODEL

 

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

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RISK AND UNCERTAINTY ASSESSMENT

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

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MACHINE LEARNING

 

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