Photo of Dr Jonathan Fieldsend

Dr Jonathan Fieldsend

Senior Lecturer


Telephone: 01392 722090

Extension: (Streatham) 2090

I graduated with a BA (hons) in Economics from the University of Durham in 1998, an M.Sc. in Computational Intelligence from the University of Plymouth in 1999 and a Ph.D. in Computer Science from the University of Exeter in 2003. I am currently a Senior Lecturer in Computer Science, having previously held positions as a Research Fellow, Business Fellow and Lecturer at the university since 2002.

Open Positions

I do not currently have any open funded research positions.

Research and Professional Interests

My main areas of research are; developing multi-objective/non-traditional objective optimisation methods, multi-modal optimisation, optimisation with uncertainty, evolutionary approaches to learning, data visualisation, as well as the use of Bayesian classification/modelling techniques.

Industrial projects I've worked on include Automatic Coverage and Capacity Optimisation for Next Generation Access Technology (with Motorola), Optimisation of Fraud Detection Software (with AI corp),  Automated Multi-Objective Optimisation of Short Term Alert Safety Net Systems (with NATS) and Multi-Objective Optimisation of Wireless Mesh Networks (including resource allocation, and interactive visualisation tools) with IMC group. I am currently a co-investigator on the EPSRC funded project EP/M017915/1 "Data-Driven Surrgate-Assited Fluid Dynamic Optimisation", which involves collaboration with the UK Aerospace Technology Institute and QinetiQ on complex aerodynamic optimisation, with Hydro International on cyclone separation and with Ricardo on diesel particle tracking.

I am a member of the IEEE (Institute of Electrical and Electronics Engineers), the IEEE Computational Intelligence Society, the BCS, the ACM Special Interest Group on Genetic and Evolutionary Computation and a Fellow of the Higher Education Academy. I am a vice-chair of the IEEE Computational Intelligence Society Task Force on Data-Driven Evolutionary Optimization of Expensive Problems.

Citation stats: h-index: 18 and i10-index: 29 according to Google scholar and h-index: 13 according to Scopus. My CV can be found here (pdf file).

Current grants

EPSRC, Self-disclosing protective materials using synthetic gene networks, £653,000, Dr Thomas Howard (PI), Dr John Love, Dr David Fulton and Dr Jonathan Fieldsend (2016-2019)

EPSRC, The Parameter Optimisation Problem: Addressing a Key Challenge in Computational Systems Biology, £600,000. Dr Jonathan Fieldsend (PI) and Dr Ozgur Akman (2016-2019)

EPSRC, Data-Driven Surrogate-Assisted Evolutionary Fluid Dynamic Optimisation, £555,000. Prof. Richard Everson (PI), Dr Jonathan Fieldsend and Prof. Gavin Tabor. (2015-2018)

Previous grants

Met Office, MASS Modelling and optimisation, £60,000,  Prof. Richard Everson (PI) and Dr Jonathan Fieldsend. (2013)

The IMC Group Ltd and the Technology Strategy Board, KTP, £131,000. Prof. Richard Everson (PI) and Dr Jonathan Fieldsend. (2011-2014)

EPSRC CASE award with Motorola Plc, Automatic coverage and capacity optimisation for next generation access technoilogy, £83,000. Prof. Richard Everson (PI) and Dr Jonathan Fieldsend. (2008-2012)

NATS Ltd and the Technology Strategy Board, KTP, £95,000. Prof. Richard Everson (PI) and Dr Jonathan Fieldsend. (2006-2009)

ai Corporation Ltd and the DTI, KTP, £223,000. Prof. Richard Everson (PI) and Dr Jonathan Fieldsend. (2004-2007)


Some of my codebase relating to my recent publications (including work in IEEE Transactions on Evolutionary Computation 2014, Soft Computing 2015, GECCO 2014, GECCO 2015, IEEE CEC 2005 & 2014, EMO 2013) is available on GitHub. Please access the repositories here.

Teaching Interests

I am on study leave for the first half of the academic year 2015/2016. I am coordinator of and lecture on the following modules in the second term:

ECM1410 Object Oriented Programming;

ECM1412 Frontiers of Computer Science.

In addition to the above, I also lecture on:

ECMM423 Evolutionary Computation & Optimisation.

I am interested in supervising students with projects in the broad area of Nature Inspired Computation and Machine Learning.

Other Relevant Information

I am a reviewer for:

  • IEEE Transactions on Evolutionary Computation,
  • Evolutionary Computation Journal,
  • IEEE Transactions on Systems, Man and Cybernetics- Part B,
  • IEEE Transactions on Neural Networks and Learning Systems,
  • IEEE Transactions on Medical Imaging,
  • IEEE Transactions on Automation Science and Engineering,
  • Swarm Intelligence,
  • Knowledge and Information Systems,
  • Biosystems,
  • Pattern Analysis and Applications,
  • International Journal of Forecasting,
  • International Journal of Parallel, Emergent and Distributed Systems,
  • European Journal of Operations Research,
  • Journal of Mathematical Modelling and Algorithms,
  • Computational Optimization and Applications.

I also regularly review for the main conferences in my field (e.g. GECCO, IEEE CEC, EMO, PPSN, IEEE SSCI, UKCI, etc.).

Qualifications: BA Economics (Dunelm), MSc Computational Intelligence (Plym), PhD Computer Science (Exon)

Professional memberships: MIEEE, FHEA, MBCS

Patents: A method of selecting operational parameters in a communication network EP1730980 WO2005091948 GB2412275