Dr. Mohammad Harris

My expertise sits at the intersection of sustainable engineering, AI, and industrial systems. I'm PhD-qualified in sustainable engineering from the University of Hertfordshire, with a research background spanning machine learning for industrial processes, thermal management, circular economy implementation, and manufacturing optimisation. My work has been funded by UKRI, Horizon Europe, the Royal Society, and the Alan Turing Institute, and published in journals including Elsevier and Springer. I'm particularly focused on translating advanced engineering research into practical, commercially viable tools for industrial decarbonisation.

Manufacturing processes generate large amounts of operational data — cycle times, reject rates, energy readings, material flows — that most businesses collect but rarely analyse at a granular level. Machine learning can identify patterns across that data to pinpoint exactly where energy is being wasted, where material is being lost, and which production stages are causing downstream inefficiency. My peer-reviewed research has demonstrated outcomes of 29% energy savings, 43% cost reductions, and 19% lower emissions by applying this approach — without large capital investment in new equipment or sensors.

Yes. I'm open to consulting engagements, advisory board roles, and research collaborations in industrial decarbonisation, sustainable manufacturing, AI in industry, and climate technology. I'm also available for speaking at events and panels on these topics. The best way to get in touch is via harris@inshira.co.uk or through the contact page.