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saylamah/README.md

Ahmad Saylam

R&D Leader | Combustion, Reactive & Thermochemical Processes | Process Modeling, Scale-Up & Sustainable Industrial Innovation

I work at the interface of applied physical chemistry, thermodynamics, chemical kinetics, heat and mass transfer, combustion science, reactive systems, thermochemical conversion, process modeling, CFD simulation, and industrial technology development.

My professional focus is applying scientific and engineering knowledge to practical technologies, scalable processes, and industrially relevant solutions for clean energy, resource efficiency, biomass and waste conversion, fuels upgrading, wastewater treatment, emissions reduction, resource recovery, and circular industrial innovation.

Technical Focus

  • Applied physical chemistry, thermodynamics, transport phenomena, heat and mass transfer
  • Chemical kinetics, detailed/reduced mechanisms, combustion, ignition, emissions, soot formation, and nanoparticle inception
  • Reactive, thermochemical, energetic, and thermodynamic system development
  • Biomass, waste, and alternative-feedstock conversion, including pyrolysis, gasification, reforming, syngas, biochar, and heat-recovery concepts
  • Fuel, oil, and hydrocarbon-stream upgrading, including blending, homogenization, viscosity reduction, desulfurization, and conditioning
  • Wastewater treatment, advanced oxidation processes, hydrodynamic cavitation, and process intensification
  • Process modeling, CFD, 0D–3D simulation, validation, optimization, engineering diagnostics, pilot-plant concepts, and scale-up
  • Waste-to-X, circular economy, resource recovery, and sustainable industrial process development

Purpose of This GitHub Profile

This GitHub profile shares selected open technical resources, simplified models, educational notebooks, reproducible calculation workflows, engineering frameworks, and companion materials related to applied physical-chemical sciences, thermochemical process development, detailed chemistry, CFD, wastewater treatment, fuels upgrading, and sustainable industrial innovation.

The materials are intended to support scientific communication, technical transparency, education, reproducibility, engineering interpretation, and professional collaboration.

No confidential industrial data, proprietary client information, restricted project material, or sensitive operational know-how is included.

Selected Public Technical Repositories

  • ndms-nanoparticle-inception
    Companion materials for the transient nano-dense molecular state hypothesis and persistence-stabilization closure for combustion nanoparticle inception.

  • aop-kinetic-process-framework
    Python framework for matrix-aware kinetic and process-level evaluation of advanced oxidation processes in wastewater treatment.

  • biomass-process-modeling
    Simplified engineering models, curated simulation data, and technical notes on biomass thermochemical conversion, biochar production, heat generation, syngas formation, exhaust-gas composition, residence-time effects, and screening-level carbon-management assessment.

Planned Repository Roadmap

  • detailed-chemistry-cfd-framework
    Chemical-mechanism analysis, construction, reduction, validation, and adaptive implementation for CFD simulation, including selected Fortran and Python workflows.

  • cavitation-process-intensification-metrics
    Energy-normalized metrics and engineering interpretation for hydrodynamic cavitation and related process-intensification technologies.

  • desulfurization-reaction-transport-regimes
    Reaction-transport regime analysis for gas and petroleum-stream desulfurization, supporting diagnosis, technology selection, and operating-window definition.

  • fuel-oil-upgrading-conditioning
    Simplified engineering models and technical notes on fuel and oil upgrading, blending, homogenization, viscosity reduction, desulfurization, and hydrocarbon-stream conditioning.

  • reactive-systems-scale-up
    Engineering notes and simplified models for translating laboratory reactive-system data toward pilot and industrial scale.

  • waste-to-x-process-analysis
    Open technical resources on waste valorization, circular process routes, and waste-to-energy / waste-to-material concepts.

  • publications-companion-materials
    Companion calculations, figures, notebooks, and reproducibility materials related to selected public scientific and technical work.

Tools and Methods

Programming and computation: Python, MATLAB, Fortran, C/C++, Jupyter Notebook

Modeling and simulation: CFD, reactive-flow modeling, chemical-kinetic modeling, detailed and reduced reaction mechanisms, 0D–3D modeling

Engineering analysis: heat and mass transfer, process calculations, validation, optimization, diagnostics, scale-up interpretation, and process-performance evaluation

Communication and reproducibility: data visualization, technical documentation, educational notebooks, and reproducible calculation workflows

Professional Links

Collaboration Interests

I am interested in applied R&D collaboration, technology development, process validation, scientific consulting, industrial innovation, and sustainable process engineering.

Relevant areas include combustion, nanoparticle formation, detailed chemistry and CFD implementation, thermochemical conversion, biomass and waste valorization, fuel and oil upgrading, desulfurization, hydrodynamic cavitation, advanced oxidation processes, wastewater treatment, resource recovery, energy efficiency, emissions reduction, pilot-plant development, and circular industrial technologies.

Pinned Loading

  1. ndms-nanoparticle-inception ndms-nanoparticle-inception Public

    Companion materials for the transient nano-dense molecular state (NDMS) hypothesis and persistence–stabilization closure for combustion nanoparticle inception.

    Jupyter Notebook

  2. biochar-process-modeling biochar-process-modeling Public

    Simplified engineering models and technical notes on biomass conversion, biochar production, heat recovery, syngas formation, and screening-level carbon-management assessment.

    Python