Behzad Najafi
Associate Professor
Milan, Lombardy, Italy
Summary
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Senior🎓
Top SchoolBehzad Najafi is an Associate Professor at Politecnico di Milano and Head of Data Science at DataOptima Lab, combining a decade of academic and industry experience in AI-driven energy systems. He specializes in physics-inspired machine learning for thermal behavior and HVAC modeling, enabling real-time optimization for demand flexibility, PV self-consumption, and energy savings. His work also spans smart-meter auditing, HVAC load disaggregation, and predictive particle transport and ventilation solutions for the pharmaceutical sector. Behzad has led collaborative projects with industry, supervised multiple PhD and 40+ MSc theses, and authored over 40 journal papers, demonstrating a strong track record of translating research into deployed data pipelines and cloud ML systems. Notably, he blends deep physical modeling with practical data engineering, often taking projects end-to-end from architecture design to cloud deployment.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.Sc.) Mechanical Engineering, Bachelor of Science (B.Sc.) Mechanical Engineering at K. N. Toosi University of TechnologyDoctor of Philosophy (PhD) Energy Science and Technology, Doctor of Philosophy (PhD) Energy Science and Technology at Politecnico di Milano
English, Italian, French, German, Persian
Github Skills (24)
prediction-model10
environmental10
dedicated10
energy-data10
energy10
campus10
electrical-engineering10
prediction10
risk-assessment10
energy-efficiency9
simulation9
python9
climate-science9
energyplus9
sustainability8
Programming languages (2)
Github contributions (5)
bnajafi/Technical-Environmental-Systems_General-Information
Sep 2018 - Jan 2020
In this Repository, you can find the general information and required software installation instructions for the course "Technical Environmental Systems" offered in Polimi Piacenza Campus
Contributions:52 commits, 45 pushes in 1 year 3 months
environmentalgeneral-informationcampusinstructionsenergy-efficiency
bnajafi/Data-driven_Building_simulation_Polimi_EETBS
Dec 2017 - Dec 2018
In this repository, you can find the notebooks and data regarding the lessons on Data-driven building behaviour prediction and simulation which have been offered in the context of "Energy and Environmental Technologies for Building System" course at Politecnico di Milano
Contributions:47 commits, 2 PRs, 35 pushes in 11 months
data-drivenmilanopolitecnico-di-milanopythonprediction
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