Interests

Research and R&D questions I keep returning to.

These interests support the two current directions of the portfolio: doctoral research in high-temperature thermal-fluid systems and industrial R&D in decarbonization and electrification.

Research interests

High-temperature thermal-fluid systems

Conjugate heat transfer in high-temperature passages

How heat transfer changes when flow acceleration, wall conduction, external losses and hardware constraints all matter at once.

Deposit formation and surface-condition effects

How coke, deposits, roughness or oxide layers alter thermal resistance and wall temperature in propulsion and power-generation hardware.

Thermal resistance decomposition

Separating bulk-flow, near-wall, conduction and surface-condition effects so that CFD/CHT results become interpretable rather than just visual.

Experimental validation under high-temperature constraints

Measurement-chain design, sensor selection, uncertainty, commissioning and the practical limits of validating models when hardware access is limited.

Predictive maintenance indicators

Using simulation and measurement signals to detect thermal degradation before it becomes a component-life or refurbishment problem.

Numerical methods for thermal-fluid systems

Finite-volume modelling, near-wall treatment, turbulence model sensitivity, mesh independence and the discipline of knowing what a simulation can and cannot claim.

Industrial R&D interests

Decarbonization and electrification methods

Industrial energy performance methodology

Load-driver regression, metering-gap assessment, deviation detection and technical reporting for noisy operational systems.

Electrification of industrial utilities

Electrical utilities, compressed air, heating and cooling as practical pathways where measurement, modelling and investment decisions meet.

Optimisation and techno-economic analysis

Dispatch models, cost-emissions trade-offs, scenario comparison and decision-support tools for industrial energy systems.

Prototype engineering tools

Python tools with tests, command-line interfaces, PDF reporting and clear assumptions, built for engineering use rather than one-off exploration.

Automatic control and system dynamics

A growth area I want to strengthen further for industrial electrification systems, process modelling and health-aware operation.

Scientific communication

Turning models, measurements and limitations into reports that can support publications, technical decisions or future patents.

Longer horizon

Background curiosities that still matter

Nuclear and high-energy-density systems

Safety culture, system reliability and energy-density questions that sharpen how I think about risk and engineering responsibility.

Statistical thermodynamics and applied mathematics

First-principles thinking that strengthens the way simplified physical models are built, challenged and interpreted.

FMEA and root-cause analysis

Failure analysis as a bridge between models, measurements, hardware behaviour and future design or maintenance choices.

Beyond the work

The non-research side

The same calibrate–iterate–document habit shows up away from the desk too — gaming, custom keyboards, kickboxing and cycling, guitar, cooking and small home-automation builds. See the hobbies page →