Rawad is an architect and building scientist, with a research focus in buildings energy simulation, data analytics, and parametric modeling and visualization to inform design and behavioral decisions. Rawad believes in the power of big data and automation to connect all our engineering systems and optimize all the energy-related interactions both at a building and urban scale. Some of his recent work includes developing methodologies for profiling occupancy patterns to calibrate Urban Energy Models, as well as developing workflows for spatiotemporal visualization and analysis of measured/simulated data.

Research Interests

Urban Energy Modeling & Calibration

Building Performance Simulation

Energy Data Analysis & Visualization

Education

M.S. Architectural Sciences and Technology, Syracuse University

B. Arch., Lebanese American University

Featured Work

A Method for Integrating an UBEM with GIS for Spatiotemporal Visualization and Analysis, Symposium on Simulation for Architecture + Urban Design (2019)

Profiling Occupancy Patterns to Calibrate Urban Building Energy Models (UBEMs) Using Measured Data Clustering, Technology, Architecture + Design (2018)

Profiling Occupancy Patterns in Community-Scale Residential Buildings Using Data Clustering for Operational Energy Use, Building Performance Analysis Conference and SimBuild (2018)