Mohammad holds a PhD in Energy Systems Engineering from the Department of Energy Engineering at Sharif University of Technology. His doctoral research focused on developing a novel optimal design model based on advanced exergy analysis concepts and hybrid and heuristic optimization methods. He has also co-supervised several Master’s theses as part of his PhD projects. He had the opportunity to take his sabbatical at UBC under the supervisionof Professor Sasani.

Currently, Mohammad’s research is centered around the application of Artificial Neural Networks in energy system modelling and optimization. He has been involved in national policy-making projects in Iran, including the development of an expander technical roadmap and national spatial planning energy policies.

Mohammad’s experience also includes teaching courses such as thermodynamics, energy auditing, energy conversion technology, and energy economics at Amirkabir University. His interests include machine learning (Artificial Neural Networks, energy modelling, Fault Diagnosis), net/nearly zero energy building, system design and sizing, energy modelling, optimization, and uncertainty analysis.

With his extensive knowledge and expertise in the field of Energy Systems Engineering, Mohammad is committed to making significant contributions to the industry through his research work.