Research

Industrial AI, circular economy, and manufacturing decarbonisation

Research Focus

My research sits at the intersection of sustainable engineering, machine learning, and industrial systems: thermal management, circular economy implementation, and manufacturing optimisation. The work has been funded by UKRI, Horizon Europe, the Royal Society, and the Alan Turing Institute, and published with Elsevier, Springer, and IEEE.

The through-line is translating advanced engineering research into practical, commercially viable tools for industrial decarbonisation — not papers that stop at the paper.

Peer-Reviewed Publications

View the full list on Google Scholar

Industry Research

Inshira Technologies

AI diagnostic tools for SME manufacturers, giving process-level visibility of energy consumption, material waste, and production inefficiency.

FounderOngoing

Rolls-Royce

AI-driven turbine manufacturing optimisation with the Alan Turing Institute: database and algorithms for root-cause analysis of production failures.

Alan Turing Institute2022

Hitachi Astemo

Lean Six Sigma and machine learning applied to production optimisation, reducing reject rates by 3% and improving OEE to 85%.

NCME Bursary2019

Royal Society

Carbon-based photothermal membranes for next-generation solar energy storage materials.

Royal Society2022–2024

See the full project write-ups

Funding & Academic Service

University of Hertfordshire research profile

Research Collaboration

Open to research collaborations, co-authorship, and advisory work in industrial decarbonisation, thermal systems, and AI for manufacturing.

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