Alex Bowler

Profile

I completed my MEng in 2018 and my PhD in 2023, both in Chemical Engineering at the University of Nottingham. My PhD thesis was titled "Ultrasonic measurements and machine learning methods to monitor industrial processes". The focus of my thesis was on developing a machine learning pipeline as well as transfer learning and domain adaptation methods for process monitoring using ultrasonic sensors.

I joined the University of Leeds in 2023 as a research assistant on the EATS (Enhancing Agri-Food Transparent Sustainability) EPSRC funded project. As part of this project, I investigated open-source carbon footprint calculations, Bayesian optimisation of brewery processes, and real-time process optimisation using sensor measurements. Additionally, I also worked on other areas of research such as near-infrared spectroscopy for allergen classification in food powders, commodity price forecasting for techno-economic analyses, and domain adaptation methods for colour sensors.

I am currently a Research Fellow in Artificial Intelligence for Sustainable Food working on a BBSRC-funded project titled: “AI-Optimised Fermentation for Sustainable Protein Production from Food Side Streams”. In this project I am developing models to simulate yeast biomass growth that are transferable across food side stream substrates. 

Qualifications

• MEng Chemical Engineering (University of Nottingham)
• PhD Chemical Engineering (University of Nottingham)

Research groups and institutes

• Food Colloids and Processing