Professional Profile · R&D Leadership · Scientific Engineering
Dr. Ahmad Saylam combines more than 35 years of experience in applied physical chemistry, chemical kinetics, combustion and reactive systems, thermochemical processes, reactor and CFD modelling, experimental validation, process and pilot development, technical project leadership and industrial scale-up.
Professional summary
His work connects physical chemistry, thermodynamics, chemical kinetics, transport phenomena, reactor and CFD modelling, experiments and process engineering. The objective is not simply to describe a technical effect, but to determine what governs it and how reliably it can be transferred to a practical system.
His career spans academic research, industrial R&D, combustion and emissions development, thermochemical-process engineering, pilot-plant planning, technical project leadership and scientific communication. This breadth is used selectively to choose the simplest defensible method for the decision at hand.
Development recommendations are assessed against reproducibility, material and energy efficiency, operability, safety, scale-up risk, evidence quality and realistic industrial value.
Professional evidence & credibility
Selected professional statements are supported by qualified employment references, official research-grant confirmations, academic credentials, recommendation letters and assessed professional training. These records are maintained in a controlled evidence portfolio and used selectively according to the target role or collaboration.
University records support work in high-pressure combustion, soot diagnostics, chemical kinetics, chemical-conversion and particle-formation modelling, 0D–3D simulation, and reduced mechanisms for CFD-based gas-phase nanoparticle synthesis.
Qualified German employment references support combustion test work, thermochemical-process development, process calculations, pilot-plant concepts, PFD/P&ID preparation, specifications, validation, scale-up and technical project coordination.
The portfolio includes a doctorate in physical chemistry, a postgraduate diploma in energetics, a Bachelor of Science degree, academic recommendations and assessed training in classical, agile and hybrid project management.
Core capability areas
Professional development path
The professional path combines fundamental research, computational science, experimental interpretation, industrial process development and technical project leadership.
Doctoral-level research addressed the oxidation and autoignition of alkanes, aromatic compounds and their mixtures under high-pressure conditions, supported by detailed chemical-kinetic modelling.
Subsequent work expanded into premixed and high-pressure flames, HCCI systems, engine pollutant formation, soot inception, experimental diagnostics and reaction-network analysis.
The technical scope broadened to pyrolysis, gasification, reforming, biomass conversion, biochar, waste-to-X, chemical recycling, fuels and oil-processing applications.
Engineering work has included wastewater treatment, advanced oxidation, difficult-water applications, desulfurization, blending, hydrodynamic cavitation and related pilot-development questions.
The current direction integrates modelling, validation, process development, technical assessment and scale-up into focused support for industrial innovation and R&D decisions.
Methods and software
Reactive flow, combustion, heat transfer, species transport, multiphase systems and coupled CFD analysis.
Open-source CFD workflows, solver evaluation, transport modelling and reproducible computational development.
Detailed chemical kinetics, ignition, reactor calculations, mechanism analysis, sensitivity and reduction.
Open and reproducible reactor simulations, kinetics analysis, mechanism reconstruction and Python integration.
Scientific computing, data analysis, kinetic frameworks, automation, testing and reproducible research.
Legacy and high-performance scientific programs, kinetic calculations and method reconstruction.
Numerical analysis, modelling, data processing and development of engineering calculations.
Scientific algorithms, numerical implementation and integration with computational modelling environments.
Development principles
Scientific concepts, screening calculations, reconstructed models, pilot observations and validated performance must be distinguished clearly.
Technology selection should follow identification of the governing chemical, transport, separation or operating limitation.
Residence time, mixing, heat transfer, transport, materials, control and safety can change fundamentally during scale-up.
Experimental and pilot programmes should be built around representative conditions, controls, balances and predefined acceptance criteria.
Assumptions, data limitations, model boundaries and remaining risks should be visible in technical decisions.
Complex results should be translated into clear engineering implications, decision options and next development actions.
Languages and working environment
Professional direction
Priority directions include R&D and technology-development leadership, specialist and technical-project roles, and selected scientific or engineering advisory assignments that connect scientific analysis with process, pilot and industrial development.
Each opportunity is evaluated according to technical fit, evidence quality, confidentiality, intellectual-property boundaries, implementation feasibility and realistic professional or commercial value.
Contact and professional information
A detailed CV, selected supporting evidence and additional project information can be provided in the context of a relevant professional or technical discussion.
Confidential or proprietary information should not be sent before an appropriate confidentiality arrangement is in place.