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.
Funded Projects
Six projects spanning Horizon Europe, the Royal Society, the Alan Turing Institute, and industry partners including Rolls-Royce and Hitachi Astemo. Each sits at the same intersection: applied engineering research turned into something a manufacturer can actually use.
Micro-FloTec: Advanced Heat Transfer Technologies
Horizon Europe (Marie Skłodowska-Curie Actions) | Project Research Manager | 2022–2025
Pioneered compact heat transfer and thermal management systems for electric vehicles, aerospace, and renewable energy storage. Coordinated 17+ international partners with a £800,000+ budget.
Impact: delivered IP and proof-of-concept ahead of schedule, with multiple publications in top-tier journals.
Enhancing Thermal Management through Machine Learning Algorithms
PhD Research — University of Hertfordshire | Principal Investigator | 2021–2025
Developed a novel framework combining machine learning, bio-inspired design, and Lean manufacturing for advanced thermal management.
Results: 30–70% heat transfer improvement, 60–70% computational reduction, 43% cost reduction, 29% energy savings, and 19% lower emissions.
Carbon13 Venture Builder (Cambridge, Cohort 9)
Carbon13 | Climate Tech Entrepreneur | 2025
Selected as one of 80 innovators from hundreds of applicants for Cambridge's leading climate tech venture builder, focused on decarbonisation solutions.
Impact: presenting concepts to stakeholders and investors across the climate tech ecosystem, and building partnerships with the University of Cambridge, Barclays, Eagle Labs, ARM, and NatWest.
Carbon-Based Photothermal Membranes
Royal Society | Researcher | 2022–2024
Contributed to next-generation solar energy storage materials using advanced carbon-based photothermal membranes.
AI-driven Turbine Manufacturing Optimisation (Rolls-Royce)
Alan Turing Institute | Researcher | 2022
Devised a database and algorithms supporting root-cause analysis and identification of turbine production failures for Rolls-Royce.
Production Optimisation (Hitachi Astemo)
NCME Bursary | Project Engineer | 2019
Applied Lean Six Sigma and machine learning to optimise production. Reduced reject rates by 3% and improved OEE to 85%.
Peer-Reviewed Publications
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Journal of Cleaner Production 2025
Harris, M. & Wu, H. (2025). Journal of Cleaner Production, 527, 146731. Elsevier.
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Int. Journal of Heat and Mass Transfer 2024
Assessing thermohydraulic performance in novel micro pin-fin heat sinks
Harris, M., Babar, H. & Wu, H. (2024). International Journal of Heat and Mass Transfer. Elsevier.
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Thermal Science and Engineering Progress 2024
Heat transfer optimisation using novel biomorphic pin-fin heat sinks
Harris, M., Wu, H. et al. (2024). Thermal Science and Engineering Progress. Elsevier.
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IEEE ICPRS'24 2024
Flow boiling pattern recognition using CNN-clustering algorithms
14th IEEE International Conference on Pattern Recognition Systems.
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Operations Research Forum 2021
Engine mass airflow sensor production via TQM, TPM, and Six Sigma practices
Harris, M. (2021). Operations Research Forum. Springer.
16 publications, 183 citations, h-index 6 (Google Scholar). 9 documents, 140 citations, h-index 5 (Scopus).
Industry Research
Inshira Technologies
AI diagnostic tools for SME manufacturers, giving process-level visibility of energy consumption, material waste, and production inefficiency.
FounderOngoingRolls-Royce
AI-driven turbine manufacturing optimisation with the Alan Turing Institute: database and algorithms for root-cause analysis of production failures.
Alan Turing Institute2022Hitachi Astemo
Lean Six Sigma and machine learning applied to production optimisation, reducing reject rates by 3% and improving OEE to 85%.
NCME Bursary2019Royal Society
Carbon-based photothermal membranes for next-generation solar energy storage materials.
Royal Society2022–2024Funding & Academic Service
- £1m+ in competitive research funding
Secured and overseen across UKRI, Horizon Europe, the Royal Society, and the Alan Turing Institute.
- Guest Editor — Sage and MDPI
Editorial work on special issues in sustainable engineering and manufacturing.
- Peer Reviewer
Reviewing for journals across all major academic publishers.
- Fellow of the Higher Education Academy (FHEA)
Recognised for teaching and supervision practice in higher education.
Research Collaboration
Open to research collaborations, co-authorship, and advisory work in industrial decarbonisation, thermal systems, and AI for manufacturing.
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