Michael Short

Professor Of Process Systems Engineering at BiofuelAi

Guildford, England, United Kingdom
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Summary

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Michael Short is a Professor of Process Systems Engineering and Associate Head of External Engagement at the University of Surrey, combining academic leadership with entrepreneurial impact as co-founder of BiofuelAi. He specialises in optimisation, process synthesis and real-time decision-support, with deep expertise in mixed-integer nonlinear programming applied to energy efficiency, bioenergy and CCUS. Michael built and continues to contribute to the open-source KIPET kinetic-parameter estimation toolkit developed at Carnegie Mellon, bridging nonlinear programming research with practical tools for chemists and engineers. He leads interdisciplinary research translating optimisation and machine learning into deployable software for anaerobic digestion, distributed energy systems and lifecycle techno-economic analysis. As a lecturer he embeds sustainability and economics into capstone process design, and his work uniquely spans fundamental algorithm development through to commercial AI-driven operational optimisation for biofuel producers.
code8 years of coding experience
job2 years of employment as a software developer
bookPhD, Chemical Engineering, PhD, Chemical Engineering at University of Cape Town
bookMatric, Matric, Matric, Matric at Rondebosch Boys' High School
languagesAfrikaans, English
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Stackoverflow

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Github Skills (9)

puppet9
hessian1
matrix1
blas1
computation1
numerical1
sensitivity1
scientific-computing1
root-finding1

Programming languages (2)

CPython

Github contributions (5)

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mchlshort/MExNetS

Oct 2018 - Oct 2020

Contributions:99 commits, 4 pushes, 1 branch in 2 years
mchlshort/kipet

Nov 2018 - Dec 2018

Development repository for Kipet.
Contributions:8 PRs, 24 pushes, 3 branches in 1 month
puppet
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Michael Short - Professor Of Process Systems Engineering at BiofuelAi