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Humans of AI3SD: Dr Nicholas Watson

Humans of AI3SD: Dr Nicholas Watson
Humans of AI3SD: Dr Nicholas Watson
Dr Nicholas Watson is an associate professor of chemical engineering at the University of Nottingham and his research is focused on data-driven in-process sensing to deliver sustainable, safe and productive food manufacturing systems.

In this Humans of AI3SD interview he discusses the benefits of low-cost sensors for SMEs, why the real world is a lot more complicated than the controlled world of the lab, and the surprising value in getting your problems tackled by people who've never looked at it from your perspective.
AI, AI3SD Event, Artificial Intelligence, Food, Internet of Things, IoFT, IoT, Machine Intelligence, Machine Learning, Manufacturing, ML, Robotics, Smart Cleaning, Technology
9
University of Southampton
Pauli, Michelle
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Watson, Nicholas
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Kanza, Samantha
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Frey, Jeremy G.
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Niranjan, Mahesan
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Pauli, Michelle
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Watson, Nicholas
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Kanza, Samantha
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Frey, Jeremy G.
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Niranjan, Mahesan
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Pauli, Michelle and Watson, Nicholas , Kanza, Samantha, Frey, Jeremy G. and Niranjan, Mahesan (eds.) (2021) Humans of AI3SD: Dr Nicholas Watson (Humans-of-AI3SD, 9) University of Southampton 4pp. (doi:10.5258/SOTON/P0153).

Record type: Monograph (Project Report)

Abstract

Dr Nicholas Watson is an associate professor of chemical engineering at the University of Nottingham and his research is focused on data-driven in-process sensing to deliver sustainable, safe and productive food manufacturing systems.

In this Humans of AI3SD interview he discusses the benefits of low-cost sensors for SMEs, why the real world is a lot more complicated than the controlled world of the lab, and the surprising value in getting your problems tackled by people who've never looked at it from your perspective.

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More information

Published date: 2021
Additional Information: Nick is an Associate Professor of Chemical Engineering. He has a PhD in engineering and spent four years as a researcher in the School of Food Science and Nutrition at the University of Leeds before joining Nottingham in 2014. Nik’s research is focussed on digital manufacturing within the food and drink sector and his team develops intelligent sensor technologies to tackle some of the biggest challenges around sustainability, food safety, hygiene and productivity. A focus of Nik’s research is developing sensor and data analysis methods that work effectively in challenging food production environments and can be integrated with other key industrial digital technologies such as AI, Robotics and the Industrial Internet of Things. Nik has led projects investigating how sensors and data analytics can be used to reduce the cost and environmental impact of industrial cleaning processes and unit operations such as fermentation and mixing. Nik is currently a member of the EPSRC Early Career Forum in Manufacturing Research, on the Food Standards Agency register of experts and a Co-Investigator on the EPSRC digital manufacturing network: Connected Everything 2.
Keywords: AI, AI3SD Event, Artificial Intelligence, Food, Internet of Things, IoFT, IoT, Machine Intelligence, Machine Learning, Manufacturing, ML, Robotics, Smart Cleaning, Technology

Identifiers

Local EPrints ID: 451462
URI: http://eprints.soton.ac.uk/id/eprint/451462
PURE UUID: 8da89c08-77a4-444f-b148-7b5d3d33a54c
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302

Catalogue record

Date deposited: 29 Sep 2021 16:46
Last modified: 30 Sep 2021 01:58

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Contributors

Author: Michelle Pauli
Author: Nicholas Watson
Editor: Samantha Kanza ORCID iD
Editor: Jeremy G. Frey ORCID iD
Editor: Mahesan Niranjan

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