Ali Naderi

• Geo-Analytical Tool Development: Developed custom Python and MATLAB scripts to process high resolution datasets, employing statistical methods to transform raw data into predictive models for fluid behaviour and subsurface risk. • Conduct advanced research into water and wastewater treatment systems, focusing on the behaviour of organic constituents in Steam-Assisted Gravity Drainage (SAGD) and CSS processes, with direct applications to greenhouse gas (GHG) emission mitigation strategies • Partner with industry leaders such as Pathways Alliance (COSIA) in a CRD project to explore innovative, sustainable water treatment technologies within the oil sands sector • Perform collection, preparation, and analysis of oil, water, and rock samples sourced from major global and Canadian energy companies, including CNRL, Suncor, Imperial, Cenovus, EQUINOR, GEOS4, and Aramco • Utilized advanced analytical instruments and machine learning methods to analyze and interpret data for dissolved organic matter composition studies • Clean, calibration, and visualization of experimental data for detailed baseline studies of Dissolved Organic Matter Composition • Conduct lab-based investigations into boiler feedwater and solid deposit compositions to inform molecular-level water treatment approaches • Spearhead efforts to improve energy efficiency and maximize resource recovery in water treatment operations, with findings that inform broader environmental and urban water management practices

• Performed extensive collection, preparation, and laboratory analysis of oil, water, and rock samples sourced from leading energy companies, including CNRL, Suncor, Imperial, Cenovus, GEOS4, EQUINOR, and Aramco • Supported cross-disciplinary research teams by ensuring accuracy and consistency in sample handling and analytical methodologies • Contributed to industry-academic partnerships by delivering high-quality data that informed both applied research objectives and operational decision-making in oil production and water treatment settings

• Collaborate on the development of assessment tools to measure student learning outcomes with and without the integration of Virtual Outcrop Models (VOMs), incorporating statistical analysis, data visualization, and AI-supported educational research • Contribute to a multidisciplinary investigation exploring cognitive, spatial, and behavioral learning processes supported by VOMs, including the integration of audio, video, and transcript data for a multimodal analysis • Design and apply machine learning pipelines for educational data mining, including natural language processing (NLP) techniques and voice/audio signal interpretation • Support the creation of field-based and digital learning materials, including the analysis and preparation of audio-visual presentations for both academic audiences and public dissemination • Conduct literature reviews on geovisualization in education and AI-enhanced pedagogy across STEM disciplines; assist in data curation, preliminary modelling, and manuscript preparation for scholarly publication • Utilize large language models (LLMs) to analyze open-ended student responses, identify patterns in written reflections, and enhance understanding of learning engagement and knowledge construction

• Defined strategic Key Performance Indicators (KPIs) for evaluating sour-water treatment effectiveness, supporting decision-making in environmental technology development • Conducted a comprehensive comparative analysis of chemical, mechanical, microbial, and hybrid technologies for hydrogen sulfide (H₂S) removal from wastewater • Synthesized findings from technical literature to assess the feasibility, scalability, and sustainability of water treatment innovations within industrial contexts

• Enhanced gas pipeline performance by modelling soil-pipe interactions using numerical methods and simulation tools such as ABAQUS, leading to the development of customized computational software in MATLAB • Designed and constructed a test rig based on principles of fluid dynamics, heat transfer, and mass transfer to evaluate the software’s predictive capabilities on pipeline mechanical behaviour • Interpreted experimental results and iteratively refined simulation models under tight timelines, ensuring alignment between computational and physical performance data • Prepared and delivered monthly technical reports to project sponsors and stakeholders, clearly communicating progress, challenges, and proposed solutions

• Led systems-level optimization of gas transmission and processing networks using advanced simulation software, improving energy efficiency and laying the foundation for low-carbon infrastructure integration • Assessed energy-saving & GHG emission reduction potential across gas transmission systems; calculated energy loss and quantified emissions resulting from operational incidents and system failures • Conducted predictive safety and risk analyses to enhance infrastructure resilience and disaster preparedness, supporting a safer and more sustainable gas distribution system • Evaluated and supported the adoption of emerging technologies—from smart pipeline monitoring systems to environmentally responsive design—in the context of regulatory and operational feasibility • Served as a science committee member for industrial-academic research initiatives, reviewing proposals and advising on innovation strategies across process engineering and sustainability fields

• Oversaw the planning and installation of urban natural gas distribution networks, ensuring compliance with regional standards and safety protocols for municipal infrastructure • Coordinated with multidisciplinary teams—including civil engineers, safety inspectors, and municipal authorities—to manage on-site operations and maintain project timelines • Assisted in pipeline routing, trenching, and pressure regulation system installation, contributing to the efficient expansion of city gas networks • Conducted on-site inspections and quality assurance assessments to ensure the integrity, safety, and environmental compliance of gas infrastructure systems

•Conducted in-depth research on organic constituents and interactions in SAGD wastewater treatment plants, resulting in improved GHG emission reduction strategies •Utilized advanced analytical instruments and machine learning methods to analyze and interpret data for dissolved organic matter composition studies •Identified and implemented opportunities for enhancing energy efficiency and resource utilization in water treatment processes

Thesis Title: Comparison of Thermodynamic Models, Predicting Hydrate Formation Conditions in the Presence of Alcohols and Electrolyte Solutions Research on gas hydrate formation condition in gas industry Write a piece of software for prediction of hydrate formation condition based on different thermodynamic models and compare the results with commercial software Build and run hydrate test setup for experimental investigation of gas hydrate formation

2nd rank among graduated students, Faculty of Chemical Engineering, Ferdowsi University of Mashhad, 2006 Feasibility study and basic design of polyethylene production site from synthetic gas Design and execution of pilots and experimental equipment for active carbon production Feasibility study and basic design of slurry transport of gas hydrate via pipeline