R&D & Technology Development Leader | Scientific & Engineering Consultant
Reactive and thermochemical systems—from molecular kinetics and computational modelling to process development, validation and industrial scale-up.
I work at the interface of applied physical chemistry, chemical kinetics, thermodynamics, transport phenomena, reactor and process modelling, experimental development, and industrial engineering.
My work connects fundamental scientific understanding with practical decisions in technology development: defining the relevant mechanisms, selecting the appropriate modelling resolution, designing validation programmes, evaluating process performance, and translating results toward pilot and industrial implementation.
Technical Website · LinkedIn · ORCID · Google Scholar
- Zero-, one-, two-, and three-dimensional modelling
- Homogeneous and heterogeneous reactor analysis
- Reactive-flow, combustion, heat-transfer, and multiphase CFD using ANSYS Fluent and OpenFOAM
- Detailed and reduced chemistry implementation using CHEMKIN and Cantera
- Turbulence–chemistry interaction, species transport, mixing, residence time, and transport–reaction coupling
- Model development, numerical verification, experimental comparison, and engineering interpretation
- Zero-, one-, two-, and three-dimensional modelling
- Homogeneous and heterogeneous reactor analysis
- Reactive-flow and multiphysics CFD
- Heat and mass transfer, mixing, residence time, and transport–reaction coupling
- Model-to-experiment comparison and engineering interpretation
- Pyrolysis, gasification, reforming, syngas, and biochar
- Biomass, residues, wastes, and alternative feedstocks
- Fuel, oil, and hydrocarbon-stream processing
- Advanced oxidation, wastewater treatment, and resource recovery
- Process intensification, energy integration, and circular process concepts
- Technical feasibility and scientific due diligence
- Experimental and pilot-programme definition
- Technology claims assessment
- Process configuration, optimisation, and operability review
- Scale-up risk identification and industrial decision support
A Python-based framework for matrix-aware kinetic and process-level assessment of advanced oxidation processes in wastewater treatment.
Scope: reaction-network interpretation, oxidant utilisation, matrix effects, process screening, and engineering evaluation.
An engineering framework for interpreting the interaction of intrinsic kinetics, mass transfer, mixing, process intensification, and scale-up in gas- and petroleum-stream desulfurization.
Scope: diagnostic and decision-support methodology rather than a universal process-performance predictor.
Simplified engineering models and curated technical resources for biomass thermochemical conversion, biochar, syngas, heat generation, residence-time effects, and screening-level carbon-management assessment.
Scope: transparent screening and process interpretation; not a substitute for validated feedstock-, particle-, and reactor-specific models.
Companion materials for the transient nano-dense molecular state hypothesis and a persistence–stabilisation framework for combustion nanoparticle inception.
Maturity: frontier scientific hypothesis and reproducible conceptual framework. It should not be interpreted as an established universal nanoparticle-inception mechanism.
A modern mechanism-analysis, reduction, reaction-network, and validation platform is under private reconstruction.
Planned capabilities include:
- mechanism auditing and provenance;
- scenario-ensemble generation;
- reaction-rate and flux analysis;
- sensitivity and kinetic-control diagnostics;
- reaction-network intelligence;
- static and adaptive mechanism reduction;
- conservative state transfer;
- validation and applicability-domain reporting.
The historical scientific methods and archived programs are being re-derived, tested, and benchmarked before any public software release.
Current maturity: research reconstruction and validation in progress.
The website at saylamah.github.io is being developed as the structured evidence layer connecting:
- expertise;
- publications;
- technical repositories;
- reproducible tools;
- selected case studies;
- professional collaboration.
A separate international consulting website is planned as the client-facing layer.
It will present selected services, technical case studies, collaboration models, and expert-network capabilities using only:
- public or non-confidential material;
- rights-cleared figures and documents;
- independently reconstructed software;
- technically reviewed evidence;
- clearly stated maturity and validation levels.
The consulting website will not be a duplicate of this GitHub profile. GitHub will provide technical evidence; the consulting website will translate that evidence into practical client applications and decision-support services.
My usual development sequence is:
- Define the technical problem, feed, products, constraints, and decision objective.
- Model the relevant physical, chemical, transport, and process phenomena at an appropriate level of detail.
- Validate assumptions and predictions against experiments, literature, benchmarks, and quantitative acceptance criteria.
- Interpret the results in terms of process performance, uncertainty, limitations, and engineering relevance.
- Scale the concept toward pilot configuration, operability, safety, control, and industrial implementation.
The objective is not merely to demonstrate a scientific or technological effect, but to determine when, where, and under which conditions that effect becomes useful.
Selected engagements may include:
- applied scientific and engineering R&D;
- mechanism, reactor, and process modelling;
- technical due diligence and claims assessment;
- technology and partner evaluation;
- experimental and pilot-programme planning;
- process-development and optimisation support;
- scale-up strategy and risk analysis;
- independent technical review;
- scientific documentation and reproducibility support.
Collaboration is considered selectively where the problem, available evidence, responsibilities, confidentiality, intellectual property, and expected technical outcome are clearly defined.
Programming and scientific computing
Python · Fortran · MATLAB · C/C++ · Jupyter Notebook
Chemical kinetics and reaction-mechanism tools
CHEMKIN · Cantera · detailed and reduced reaction mechanisms · reaction-path analysis · sensitivity analysis · mechanism reduction · adaptive chemistry
CFD and reactor simulation
ANSYS Fluent · OpenFOAM · reactive-flow CFD · combustion modelling · species transport · turbulence–chemistry interaction · heat-transfer modelling · multiphase modelling · 0D–3D reactor simulation
Engineering and process analysis
Thermodynamics · heat and mass transfer · transport phenomena · process calculations · validation · optimisation · scale-up · technical performance assessment
Technical communication and reproducibility
Scientific publications · engineering reports · technical proposals · reproducible workflows · educational resources · data visualisation
This profile contains selected public and non-confidential scientific and engineering material.
It does not intentionally disclose:
- confidential client or employer information;
- restricted operating data;
- proprietary equipment details;
- company-owned know-how;
- third-party software or mechanisms without appropriate permission;
- unpublished personal or collaborator material without consent.
Historical codes, mechanisms, figures, and documents are screened for authorship, ownership, confidentiality, licensing, technical integrity, and validation before public release.