Projects & Research

Funded engineering work, and the peer-reviewed research behind it

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

Micro-FloTec Horizon Europe project: compact heat transfer systems for EVs and aerospace, coordinated by Dr. Mohammad Harris

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.

Horizon EuropeHeat TransferML Optimisation

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Enhancing Thermal Management through Machine Learning Algorithms

PhD research on thermal management using machine learning at University of Hertfordshire, Dr. Mohammad Harris

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.

Machine LearningBio-inspired DesignSustainable Technologies

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Carbon13 Venture Builder (Cambridge, Cohort 9)

Carbon13 Cambridge climate tech venture builder Cohort 9, Dr. Mohammad Harris

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.

Climate TechVenture BuildingDecarbonisation

Carbon-Based Photothermal Membranes

Royal Society | Researcher | 2022–2024

Contributed to next-generation solar energy storage materials using advanced carbon-based photothermal membranes.

Royal SocietySolar Energy

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.

AI / Machine LearningManufacturing OptimisationAlan Turing Institute

Production Optimisation (Hitachi Astemo)

Hitachi Astemo production optimisation using Lean Six Sigma and machine learning, Dr. Mohammad Harris

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%.

Six SigmaMachine Learning

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Peer-Reviewed Publications

16 publications, 183 citations, h-index 6 (Google Scholar). 9 documents, 140 citations, h-index 5 (Scopus).

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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