Mohammadreza Nozari Email & Phone Number

Toronto, ON, CA

Burlington, Ontario, Canada

Montreal, Quebec, Canada

• Conducted extensive CFD simulations (+10 Million CPU hours) using C++ solvers to analyze highly turbulent hydrogen flames interacting with walls.
• Applied machine learning techniques to state-of-the-art models used in combustion simulation of advanced engines and gas turbines.
• Built predictive models based on large datasets from simulation results (>30TB of data) using novel machine learning tools such as deep neural networks, gradient boosted regression trees, Bayesian networks, and genetic.
• Newly developed models resulted in more than 20% savings in computational costs of combustion simulations.
• The project focused on advancing low-carbon emission gas turbine technology for sustainable power generation and decarbonization initiatives.
• Collaborated with esteemed researchers from Siemens Energy (Canada), National Research Council Canada (NRC), US National Renewable Energy Laboratory (NREL), and The French Aerospace Laboratory (ONERA).

Applied Math courseDynamics of Combustion courseFundamentals of Turbulent Flows courseAdvanced Fluid Mechanics course

Tehran, Tehran Province, Iran

• Collaborated closely with the manager and multidisciplinary teams on large-scale institutional, commercial, and industrial HVAC projects, fostering a cooperative environment to design entire HVAC, plumbing, and fire.
• Actively engaged in teamwork to perform heating and cooling load calculations and determine airflow requirements, working collaboratively with colleagues to identify the sizes of air handling units, chillers, and.
• Proactively participated in the implementation of alterations requested by the manager, demonstrating flexibility and teamwork.
• Showed excellent project management skills by facilitating communication among cross-functional teams and project stakeholders, ensuring alignment on project budget and timeline.

Tehran, Iran

• Research Assistant at Combustion Laboratory of Aerospace Engineering Department:
• Designed and manufactured a model gas turbine combustor test stand using Solidworks, demonstrating proficiency in CAD software.
• Used Ansys Fluent to perform CFD simulations of reacting multiphase flow (liquid kerosene) in gas turbine combustor environment to predict thermal characteristics of the combustor.
• Conducted experimental measurements on a model gas turbine combustor including temperature and species concentration measurements, contributing to comprehensive data analysis and validation of simulation results.
• Developed predictive Python models to assess the thermal performance and pollution levels of advanced, low-carbon combustion engines.
• Applied machine learning algorithms including Gradient Boosted Regression and Deep Neural Networks to combustion modeling in novel gas turbines.

Tehran, Tehran Province, Iran

• Developed designs, specifications, and cost estimates for mechanical equipment such as pipelines, fueling systems, compressors, and pumps using Solidworks and AutoCAD. P&ID reading and preparation.
• Generated creative and innovative mechanical design concepts based on project specifications.
• Conducted stress analysis and thermal analysis to ensure the integrity and performance of designs using Ansys Workbench.
• Created comprehensive design documentation, including drawings, specifications, and engineering reports.
• Collaborated with manufacturing teams to ensure the feasibility and efficiency of the production process.

Master'S Degree, Mechanical Engineering

Activities and Societies: Thesis title: Towards Direct Numerical Simulation of a Low-swirl Laboratory Turbulent CH4/H2 Flame Impinging on.

Bachelor'S Degree, Aerospace, Aeronautical And Astronautical Engineering

Activities and Societies: Thesis title: Development of an analytical solver for gas turbine combustors.

High School Diploma