Nicholas Watson

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Alexander BowlerUniversity of LeedsVerified email at leeds.ac.uk
Oliver FisherUniversity of NottinghamVerified email at nottingham.ac.uk
A.M.RadyTeagasc Food Research Centre, Dublin, IrelandVerified email at nottingham.ac.uk
Elliot WoolleyLoughborough UniversityVerified email at lboro.ac.uk
Megan J PoveyProfessor of Food Physics, University of LeedsVerified email at food.leeds.ac.uk
Alessandro SimeonePolitecnico di TorinoVerified email at polito.it
Joel FischerProfessor of Human-Computer Interaction, Mixed Reality Laboratory, School of Computer ScienceVerified email at nottingham.ac.uk
Michael PoundAssociate Professor, University of NottinghamVerified email at nottingham.ac.uk
Shreedhar RangappaHoneywell Technology SolutionsVerified email at honeywell.com
Nick ParkerProfessor, School of Mathematics, Statistics & Physics, Newcastle UniversityVerified email at ncl.ac.uk
Zachary James GloverArla FoodsVerified email at arlafoods.com
Buddhi N. HewakandambyLecturer in Chemical Engineering, The University of Nottingham, Nottingham, UKVerified email at nottingham.ac.uk
Abbas HasanVerified email at hull.ac.uk
Becca FerrariUniversity of NottinghamVerified email at nottingham.ac.uk
Samet Ozturk, Ph.DFood Science and Technology, University of GeorgiaVerified email at uga.edu
irving israel ruiz lópezProfessor, Benemérita Universidad Autónoma de PueblaVerified email at correo.buap.mx
Gamaliel Che-GaliciaLaboratory of Chemical Processes and Environmental Remediation, Facultad de Ingeniería Química, BUAPVerified email at correo.buap.mx
Edith Corona JiménezBenemérita Universidad Autónoma de PueblaVerified email at correo.buap.mx
Tania Martínez Ramos Profesora de la Universidad Politécnica Metropolitana de PueblaVerified email at metropoli.edu.mx
Stuart ReevesSchool of Computer Science, University of NottinghamVerified email at nottingham.ac.uk

Nicholas Watson

Professor of Artificial Intelligence in Food, University of Leeds

Verified email at leeds.ac.uk

Machine Learning Digital manufacturing Sensors Industry 4.0 Food Science and Engineering


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Cloud manufacturing as a sustainable process manufacturing route O Fisher, N Watson, L Porcu, D Bacon, M Rigley, RL Gomes Journal of manufacturing systems 47, 53-68, 2018	291	2018
Effect of solvent composition and its interaction with ultrasonic energy on the ultrasound-assisted extraction of phenolic compounds from Mango peels (Mangifera indica L.) T Martínez-Ramos, J Benedito-Fort, NJ Watson, II Ruiz-López, ... Food and Bioproducts Processing 122, 41-54, 2020	97	2020
A review of in-line and on-line measurement techniques to monitor industrial mixing processes AL Bowler, S Bakalis, NJ Watson Chemical Engineering Research and Design 153, 463-495, 2020	87	2020
Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems OJ Fisher, NJ Watson, JE Escrig, R Witt, L Porcu, D Bacon, M Rigley, ... Computers & Chemical Engineering 140, 106881, 2020	82	2020
Thin film thickness measurements in two phase annular flows using ultrasonic pulse echo techniques YA Al-Aufia, BN Hewakandamby, G Dimitrakis, M Holmes, A Hasan, ... Flow measurment and Instrumentation 66, 67-78, 2019	61	2019
Energy management for a net zero dairy supply chain under climate change MI Malliaroudaki, NJ Watson, R Ferrari, LN Nchari, RL Gomes Trends in Food Science & Technology 126, 153-167, 2022	47	2022
Advances in the ultrasound characterization of dry-cured meat products E Corona, JV Garcia-Perez, TEG Alvarez-Arenas, N Watson, MJW Povey, ... Journal of Food Engineering 119 (3), 464-470, 2013	47	2013
Monitoring mixing processes using ultrasonic sensors and machine learning AL Bowler, S Bakalis, NJ Watson Sensors 20 (7), 1813, 2020	39	2020
The effect of light intensity, sensor height, and spectral pre-processing methods when using NIR spectroscopy to identify different allergen-containing powdered foods A Rady, J Fischer, S Reeves, B Logan, N James Watson Sensors 20 (1), 230, 2019	37	2019
Near-infrared spectroscopy and hyperspectral imaging for sugar content evaluation in potatoes over multiple growing seasons AM Rady, DE Guyer, NJ Watson Food Analytical Methods 14, 581-595, 2021	30	2021
Clean-in-place monitoring of different food fouling materials using ultrasonic measurements J Escrig, E Woolley, S Rangappa, A Simeone, NJ Watson Food Control 104, 358-366, 2019	30	2019
A multi-sensor approach for fouling level assessment in clean-in-place processes A Simeone, N Watson, I Sterritt, E Woolley Procedia Cirp 55, 134-139, 2016	28	2016
A review of ultrasonic sensing and machine learning methods to monitor industrial processes AL Bowler, MP Pound, NJ Watson Ultrasonics 124, 106776, 2022	26	2022
Monitoring the cleaning of food fouling in pipes using ultrasonic measurements and machine learning J Escrig, E Woolley, A Simeone, NJ Watson Food Control 116, 107309, 2020	22	2020
Ultrasonic measurements and machine learning for monitoring the removal of surface fouling during clean-in-place processes JE Escrig, A Simeone, E Woolley, S Rangappa, A Rady, NJ Watson Food and bioproducts processing 123, 1-13, 2020	21	2020
Intelligent industrial cleaning: A multi sensor approach utilising machine learning-based regression A Simeone, E Woolley, J Escrig, NJ Watson Loughborough University, 2020	21	2020
Enhanced clean-in-place monitoring using ultraviolet induced fluorescence and neural networks A Simeone, B Deng, N Watson, E Woolley Sensors 18 (11), 3742, 2018	20	2018
Post-processing of polymer foam tissue scaffolds with high power ultrasound: A route to increased pore interconnectivity, pore size and fluid transport NJ Watson, RK Johal, Z Glover, Y Reinwald, LJ White, ... Materials Science and Engineering: C 33 (8), 4825-4832, 2013	20	2013
Intelligent resource use to deliver waste valorisation and process resilience in manufacturing environments: Moving towards sustainable process manufacturing OJ Fisher, NJ Watson, JE Escrig, RL Gomes Johnson Matthey Technology Review 64 (1), 93-99, 2020	19	2020
Near-infrared spectroscopy and machine learning for classification of food powders during a continuous process S Ozturk, A Bowler, A Rady, NJ Watson Journal of Food Engineering 341, 111339, 2023	17	2023

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