I am currently Professor of Machine Learning at Sheffield Hallam University. I joined Sheffield Hallam University in November 2013 from Manchester Metropolitan University and am a Senior Member of the IEEE (SMIEEE) and a Fellow of the Higher Education Academy (FHEA). I am also the Digital Connectivity research theme lead for the National Centre of Excellence for Food Engineering (NCEFE). My main research interests are in the field of machine learning and particularly in its application to real-world problems in image processing and pattern recognition, healthcare, and Industry 4.0.

I am an active researcher with research interests focused primarily in the field of machine learning and its application to real-world problems in image processing and pattern recognition, healthcare, and Industry 4.0 (particularly in it's application to food and drink manufacturing). I have published over thirty peer-reviewed journal and conference papers on the application of AI and ML to a variety of problems in engineering, security, and healthcare in a range of high-impact venues (with more than a dozen oral presentations at international conferences). According to Google Scholar, my publications have received approximately 1000 citations and I have a current H-Index of 13.

I am currently / have been principal investigator or co-investigator on several successfully funded external research and development projects investigating the application of ML techniques and software engineering principles to a variety of problem domains (including funding from BBSRC, MRC, ERDF, and Research England), with a total value to Sheffield Hallam University of over £3,500,000. As well as this, I have been principal investigator on several smaller grants (including support from Google and nVidia).