Arash Naseri
Research Scientist at Canmetenergy Ottawa @Natural Resources Canada Nrcan
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WORK HISTORY
Research Scientist at Canmetenergy Ottawa @Natural Resources Canada Nrcan
Digital Platform Development• Designing comprehensive digital platforms to support zero routine flaring and venting initiatives across upstream oil and gas sectors in the western provinces.• Developing advanced machine learning models to accurately predict gas compositions for unsampled wells and facilities, enabling robust techno-economic analysis (TEA) and life cycle assessment (LCA) workflows that support methane reduction and net-zero regulatory pathways.• Creating province-wide, high-resolution composition maps and temporospatially resolved models through sophisticated data integration and network flow analysis.Flare Research• Data Pipeline Architecture: Building automated, Python-based systems for real-time ingestion, cleaning, and harmonization of multi-source datasets, including activity, production, and emissions data.• Contributing to controlled, large-scale flare experiments and developing 3D flame reconstruction methods to enhance hazard prediction and inform operational safety guidelines.
EDUCATION
Shiraz University
Master of Science - MS, Mechanical Engineering
Shiraz University
Bachelor of Science - BS, Mechanical Engineering
University of Alberta
Doctor of Philosophy - PhD, Mechanical Engineering
ABOUT ARASH NASERI
As a Research Scientist at CanmetENERGY-Ottawa, Natural Resources Canada, I am developing a cutting-edge methodology and digital platform initiatives for real-time emission monitoring and regulatory control. This initiative leverages machine learning and geospatial analysis to modernize regulatory frameworks and support zero routine flaring and venting across upstream oil and gas sectors in Canada’s western provinces.My expertise spans methane decarbonization, hydrogen production through catalytic pyrolysis, and advanced aerosol diagnostics. I have a PhD in Mechanical Engineering with over a decade of experience in experimental design, numerical modeling, and data science. My research contributes to Canada\'s net-zero pathways by developing predictive models, automated data pipelines, and regulatory compliance tools that transform how we approach emissions reduction and energy transition.I am passionate about leveraging my expertise in machine learning, geospatial analysis, and process engineering to address global challenges in energy sustainability and regulatory innovation.
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