Meet the instructors

Navid Shirzadi, PhD

Dr. Navid Shirzadi's primary focus lies in integrating building simulation modeling and machine learning techniques to enhance building performance. With about 10 years of experience in energy systems engineering and modeling, he is actively engaged in seeking novel methods to bridge the gap between expected and actual building performance. He aims to leverage advanced technologies, specifically building simulation modeling and deep learning, to achieve more accurate predictions and optimize the overall performance of buildings. In addition to his primary responsibilities, he is actively engaged in other research areas, including techno-economic assessment and optimal design of renewable energy systems in urban areas, energy management and control, as well as renewable energy forecasting using AI methods.

EDUCATION

PhD Civil Engineering, Concordia University / M.A.Sc. Energy Engineering, Sharif University of Technology