Dr Alex Shenfield

Dr Shenfield is an active researcher, with research interests mainly focused in the field of machine learning and its application to real-world problems in image processing, pattern recognition, and engineering design. He has published over a dozen internationally peer-reviewed journal and conference papers in the fields of intelligent systems, control, and pattern recognition. Alex sits on the international technical programme committee for the IEEE International Symposium on Communication Systems, Networks and Digital Signal Processing and is a reviewer for several high impact international journals.

Alex is currently the course leader for BEng (Hons) Computer Systems Engineering course and supervises several undergraduate and postgraduate projects in embedded systems, the Internet-of-Things, and data mining and analysis. Dr Shenfield regularly acts as an external panel member for the validation of courses at other institutions.

Education:
2008 – PhD in “Grid Enabled Optimisation using Evolutionary Algorithms”, University of Sheffield
2002 – MEng Computer Systems Engineering, University of Sheffield

Department of Engineering and Mathematics

Science, Technology and Arts

Dr Alex Shenfield is a course leader for the BEng (Hons) Computer Systems Engineering course in the Department of Engineering and Mathematics. He is also currently module leader for a wide range of modules in computer systems engineering and computer technology, including:

- Object Oriented Methods (level 7)
- Embedded Computer Networks (level 6)
- Architectures for the Internet-of-Things (level 6)
- Microprocessor System Applications (level 6)
- Object Oriented Programming for Engineers (level 5)
- Project 1 (level 4)

• Communication and Computing Research Centre
• Cultural Communication and Computing Research Institute, Materials and Engineering Research Institute

Dr Shenfield is a member of the Geometric Modelling and Pattern Recognition (GMPR) research group in the Communication and Computing Research Centre (CCRC) and is involved in several current research projects in the fields of image processing and interpretation and pattern recognition including:

• The Vision-based Early Warning System (VIEWS) project in collaboration with North Middlesex University Hospital looking at automatic identification of facial expressions and correlation of those to physiological states in patients at risk of deterioration.
• The Intensive Care Unit Artificial Neural Network (IcuANN) project in collaboration with North Middlesex University Hospital and the North East and North Central London Hospital Network looking at the prediction of patient response to intensive care unit admission.

Alex has successfully supervised 2 PhD students to completion in the fields of machine learning and intelligent control systems and is currently Director of Studies for a PhD student looking at developing smart grid systems for recreational vehicles.

Dr Shenfield is also actively involved in applied knowledge transfer with the Materials and Engineering Research Institute (MERI), and has recently completed successful supervision of a 2 year knowledge transfer partnership (KTP) project looking at embedding modern electronic systems design knowledge within the company partner, Thetford LTD.

Current students:
- Mohammad Musameh. Smart grid for the leisure vehicle industry (working title).

Past students:
- Fayad Abdulah. Comparative Modelling and Shade Analysis of Renewable Photovoltaic Systems. (1st supervisor)
- Peter Delves. Simulation Study Investigating the Novel use of Drive Torque Vectoring for Dynamic Post-Impact Vehicle Dynamic Control (2015).
- Shahin Rostami. Preference Focussed Many-Objective Evolutionary Computation (2014).