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Computer Science

Photo of Prof Jonathan Fieldsend

Prof Jonathan Fieldsend

Professor in Computational Intelligence

 J.E.Fieldsend@exeter.ac.uk

 (Streatham) 2090

 01392 722090


Overview

Office: Innovation Centre Phase 1, Room 1

Bio

I am Professor of Computational Intelligence, Director of Research & Impact, and Academic Lead of the Optimisation Group in the Department of Computer Science. I am also Turing Fellow.

I graduated with a BA in Economics from the University of Durham in 1998, an MSc in Computational Intelligence from the University of Plymouth in 1999 and a PhD in Computer Science from the University of Exeter in 2003. Following which I held postdoctoral research positions before starting as Lecturer at Exeter in 2006.

My research has been supported by a number of grants, with funders including EPSRC, Innovate UK, NERC, and industy. I am currently an Associate Editor of ACM Transactions on Evolutionary Learning and Optimization and IEEE Transactions on Evolutionary Computation. I am a vice-chair of the IEEE Computational Intelligence Society Task Force on Data-Driven Evolutionary Optimization of Expensive Problems and also vice-chair of the IEEE Computational Intelligence Society Task Force on Multi-Modal Optimization. I was also co-Chair of the EMO Track at GECCO 2019 and GECCO 2020, and Editor-in-Chief of GECCO 2022.

Most of my codebase relating to my recent publications is available on GitHub. Please access the repositories here.

Research and Professional Interests

My main areas of research are: developing multi-objective 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.

Previous 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)
  • Multi-Objective Optimisation of Wireless Mesh Networks (including resource allocation, and interactive visualisation tools) with IMC group.
  • Data-Driven Surrogate-Assited Fluid Dynamic Optimisation, which involved 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.
  • MASS modelling and optimisation (with the MET office)
  • Calibration of digital twin models for buildings and road networks (with City Science and Hoare Lea)
  • Human centric buildings for a carbon neutral future (with City Science)

Current industry projects include:

  • Bayesian optimisation for product design (with Hydro International) 
  • Computational modelling and optimisation of plasma processes (with Oxford Instruments Plasma Technology)

Citation stats: h-index: 27 and i10-index: 58 according to Google scholar

Open Positions

I do not currently have any open post-doctoral posititions in my group, but I welcome contact from potential PhD students who want to persue a programme of research in the areas of multi-objective optimisation, evolutionary computation and machine learning.

Teaching

I am coordinator and lecturer of the following module:

COMM510 Multi-Objective Optimisation and Decision Making

I am interested in supervising postgraduate students with projects in the broad area of Nature Inspired Computation and Machine Learning. Please apply via the university online portal.

Recent news

November 2022 - Joined the programme committee of GECCO 2023

October 2022 - Presented work on using the ND-Tree for maintaining an active archive (source of parents) at EA2022

October 2022 - Invited as a participant at the workshop on Multiobjective Optimization on a Budget at Schloss Dagstuhl – Leibniz-Zentrum für Informatik in Germany, September 2023

September 2022 - Joined programme comittee of EMO 2023

July 2022 - GECCO 2022: first hybrid GECCO, and largest number of attendees of any GECCO so far (just shy of 1000). Benefited greatly from a fantastic team!

October 2021 - Appointed as Turing Fellow for the coming year

April 2021 - "Multi-objective Bayesian optimisation using an exploitative attainment front acquisition function" accepted for as a full paper in IEEE Congress on Evolutionary Computation, with Finley Gibson and Richard Everson

April 2021 - "Towards Population-based Fitness Landscape Analysis Using Local Optima Networks" accepted for as a full paper in the Landscape Aware Heuristic Search Workshop of ACM GECCO, with Melike Karatas and Ozgur Akman

April 2021 - "How Bayesian Should Bayesian Optimisation Be?" accepted as a full paper to the SAEOpt Workshop in ACM GECCO, with Geaorge De Ath and Richard Everson

Feb 2021 - Joined the Program Committee of the MCDM symposium at IEEE SSCI 2021

Feb 2021 - Joined the Program Commitee of IEEE CEC 2021

Feb 2021 - Appointed as an Associate Editor of IEEE Transactions on Evolutionary Computation

Dec 2020 - Joined the Program Comittee of GECCO 2021

Dec 2020 - SAEOpt Workshop confirmed for GECCO 2021, co-organising with Richard Everson (Exeter), Alma Rahat (Swansea), Yaochu Jin (Surrey) and Handing Wang (Xidian) 

Dec 2020 - EAPwU Workshop confirmed for GECCO 2021, co-organising with Khulood Alyahya (Exeter), Tinkle Chugh (Exerter) and Juergen Branke (Warwick)

Dec 2020 - Competition on Niching Methods for Multimodal Optimization confirmed for GECCO 2021, co-organising with Michael Epitropakis (Lancaster), Xiaodong Li (RMIT) and Mike Preuss (Lieden)

Nov 2020 - Non-dominated Sorting on Performance Indicators for Evolutionary Many-objective Optimization, by Hao Wang, Chaoli Sun, Guochen Zhang, Jonathan Fieldsend and Yaochu Jin, accepted for publication in Information Sciences. 

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

Professional memberships: MIEEE, FHEA

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

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Publications

Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.

| To Appear | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | Patents |

To Appear

2024

  • Binois M, Branke J, Fieldsend J, Purshouse R. (2024) Decoupled Design of Experiments for Expensive Multi-objective Problems, LION18 The 18th Learning and Intelligent Optimization Conference, Ischia, Italy, 9th Jun - 13th May 2024, Preproceedings of LION18 The 18th Learning and Intelligent Optimization Conference, pages 36-50.
  • Tusar T, Brockhoff D, Fieldsend J, Naujoks B, Rahat A, Volz V, Wang H, Yang K. (2024) Exploring correlations in multi-objective optimization.
  • Binois M, Branke J, Fieldsend J, Purshouse R. (2024) Decoupled Design of Experiments for Expensive Multi-objective Optimisation.
  • Yin X, Ruan W, Fieldsend JE. (2024) DIMBA: discretely masked black-box attack in single object tracking, Mach. Learn, volume 113, pages 1705-1723, article no. 4.
  • Roberts AP, Rahat AA-AM, Jarman DS, Fieldsend JE, Tabor GR. (2024) Shape optimisation of a hydrodynamic separator using expensive and constrained multi-objective computational modelling, DOI:10.21203/rs.3.rs-4042854/v1.

2023

2022

  • Fieldsend J. (2022) On the Active Use of an ND-Tree-Based Archive for Multi-Objective Optimisation, Artificial Evolution 2022, Exeter, Uk, 31st Oct - 2nd Nov 2022, Lecture Notes in Computer Science.
  • Wagner M, Fieldsend J. (2022) Welcome, GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference.
  • Wagner M, Fieldsend J. (2022) Welcome, GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference.
  • Chen Y, Haywood J, Wang Y, Malavelle F, Jordan G, Partridge D, Fieldsend J, De Leeuw J, Schmidt A, Cho N. (2022) Publisher Correction: Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover, Nature Geoscience, volume 15, no. 10, pages 854-854, DOI:10.1038/s41561-022-01027-9. [PDF]
  • Gibson FJ, Everson RM, Fieldsend JE. (2022) Guiding surrogate-assisted multi-objective optimisation with decision maker preferences, GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 786-795, DOI:10.1145/3512290.3528814.
  • Yin X, Ruan W, Fieldsend J. (2022) DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking. [PDF]
  • Zhang T, Ruan W, Fieldsend J. (2022) PRoA: A Probabilistic Robustness Assessment against Functional Perturbations, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), Grenoble, France, 19th - 23rd Sep 2022, Springer’s Lecture Notes in Computer Science Series.
  • Rahat A, Chugh T, Fieldsend J, Allmendinger R, Miettinen K. (2022) Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature, Parallel Problem Solving from Nature (PPSN), Dortmund, Germany, 10th - 14th Sep 2022.
  • Ivaşcu C, Everson RM, Fieldsend JE. (2022) Optimising Diversity in Classifier Ensembles, SN Computer Science, volume 3, no. 3, DOI:10.1007/s42979-022-01063-7.
  • Daly GA, Fieldsend JE, Tabor G. (2022) Variational Autoencoders Without the Variation. [PDF]

2021

2020

2019

2018

2017

2016

2015

2014

  • Rahat AAM, Everson RM, Fieldsend JE. (2014) Multi-Objective Routing Optimisation for Battery-Powered Wireless Sensor Mesh Networks, Genetic and Evolutionary Computation Conference, GECCO'14, Vancouver, Canada, 12th - 16th Jul 2014. [PDF]
  • Fieldsend JE, Everson RM. (2014) Efficiently Identifying Pareto Solutions when Objective Values Change, Genetic and Evolutionary Computation Conference, GECCO'14, Vancouver, Canada, 12th - 16th Jul 2014. [PDF]
  • Fieldsend JE. (2014) Running Up Those Hills: Multi-Modal Search with the Niching Migratory Multi-Swarm Optimiser, IEEE Congress on Evolutionary Computation, Beijing, 6th - 11th Jul 2014. [PDF]
  • Aumjaud P, Smith CW, Fieldsend JE, Evans KE. (2014) Optimised location and orientation of passive viscoelastic dampers for lightweight sandwich structures, 16th International Conference on Experimental Mechanics.
  • Everson RM, Walker DJ, Fieldsend JE. (2014) Life on the Edge: Characterising the Edges of Mutually Non-dominating Sets, Evolutionary Computation, volume 22, no. 3, pages 479-501, DOI:10.1162/EVCO_a_00124. [PDF]

2013

  • Everson R, Fieldsend J, Galton A, McClymont K, Walker D. (2013) Preface, 2nd Symposium on Nature-Inspired Computing and Applications, NICA 2013 - AISB Convention 2013.
  • Fieldsend JE, Everson RM. (2013) On the efficient maintenance and updating of Pareto solutions when assigned objectives values may change, Computer Science, University of Exeter. [PDF]
  • Harrison M, Fieldsend JE, Lawes A, Somerfield D. (2013) The Impact of an Automated Checklist on Reliability of Inpatient Psychiatric Care, The Royal College of Psychiatrists’ International Congress, Edinburgh, 2nd - 5th Jul 2013.
  • Fieldsend JE. (2013) Multi-Modal Optimisation using a Localised Surrogates Assisted Evolutionary Algorithm, UK Workshop on Computational Intelligence (UKCI 2013), University Of Surrey, 9th - 11th Sep 2013. [PDF]
  • Everson RM, Walker DJ, Fieldsend JE. (2013) Edges of Mutually Non-dominating Sets, Genetic and Evolutionary Computation Conference, GECCO'13, Amsterdam.
  • Woolard MM, Fieldsend JE. (2013) On the Effect of Selection and Archiving Operators in Many-Objective Particle Swarm Optimisation, Genetic and Evolutionary Computation Conference, GECCO'13, Amsterdam. [PDF]
  • Fieldsend JE, Everson RM. (2013) Visualising high-dimensional Pareto relationships in two-dimensional scatterplots, Evolutionary Multi-criterion Optimization, EMO 2013, Sheffield, Lecture Notes in Computer Science, volume 7811, pages 558-572. [PDF]
  • Walker DJ, Everson RM, Fieldsend JE. (2013) Visualising Mutually Non-dominating Solution Sets in Many-objective Optimisation, IEEE Transactions on Evolutionary Computation, volume 17, no. 2, pages 165-184, DOI:10.1109/TEVC.2012.2225064. [PDF]

2012

2011

  • McClymont K, Walker D, Keedwell E, Everson R, Fieldsend JE, Savic D, Randall-Smith M. (2011) Novel Methods for Ranking District Metered Areas for Water Distribution Network Maintenance Scheduling, CCWI, Exeter, 5th - 7th Sep 2011. [PDF]
  • Walker DJ, Everson RM, Fieldsend JE. (2011) Rank-based dimension reduction for many-criteria populations, Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication, pages 107-108. [PDF]

2010

  • Reckhouse WJ, Fieldsend JE, Everson RM. (2010) Variable interactions and exploring parameter space in an expensive optimisation problem: Optimising Short Term Conflict Alert, IEEE Congress on Evolutionary Computation, Barcelona, 19th - 23rd Jul 2010. [PDF]
  • Walker DJ, Everson RM, Fieldsend JE. (2010) Visualisation and ordering of many-objective populations, IEEE Congress on Evolutionary Computation, pages 1-8. [PDF]
  • Fredlund RM, Everson RM, Fieldsend JE. (2010) A Bayesian Framework for Active Learning, IEEE International Joint Conference on Neural Networks, Barcelona. [PDF]

2009

  • Everson RM, Fieldsend JE, Smith KI. (2009) Simulated annealing and greedy search for multi-objective optimisation, Department of Computer Science, University of Exeter. [PDF]
  • Fieldsend JE. (2009) Optimising decision trees using multi-objective particle swarm optimisation, Swarm Intelligence for Multi-objective Problems in Data Mining,, Springer, 93-114. [PDF]

2008

  • Smith KI, Everson RM, Fieldsend JE, Murphy C, Misra R. (2008) Dominance-Based Multiobjective Simulated Annealing, IEEE Transactions on Evolutionary Computation, volume 12, no. 6, pages 323-342, DOI:10.1109/TEVC.2008.929322. [PDF]
  • Fieldsend JE, Everson RM. (2008) Multi-Objective Supervised Learning, Multi-Objective Problem Solving from Nature: From Concepts to Applications, Springer, 155-176. [PDF]
  • Reckhouse W, Everson R, Fieldsend J, Bush D, Arnold T, Hayward R, Slater K. (2008) Assessment and optimisation of STCA performance: Using the Pareto optimal receiver operating characteristic.
  • Smith KI, Everson RM, Fieldsend JE, Murphy C, Misra R. (2008) Dominance-based multiobjective simulated annealing, IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, volume 12, no. 3, pages 323-342, DOI:10.1109/TEVC.2007.904345. [PDF]
  • Fieldsend JE, Everson RM. (2008) On the efficient use of uncertainty when performing expensive ROC optimisation, IEEE Congress on Evolutionary Computation (CEC), Hong Kong, 1st - 6th Jun 2008, DOI:10.1109/CEC.2008.4631340. [PDF]

2007

  • Schetinin V, Fieldsend JE, Partridge D, Coats TJ, Krzanowski WJ, Everson RM, Bailey TC, Hernandez A. (2007) Confident interpretation of Bayesian decision tree ensembles for clinical applications, IEEE Transactions on Information Technology in Biomedicine, volume 11, no. 3, pages 312-319, DOI:10.1109/TITB.2006.880553.
  • Schetinin V, Fieldsend JE, Partridge D, Krzanowski WJ, Everson RM, Bailey TC, Hernandez A. (2007) Estimating Classification Uncertainty of Bayesian Decision Tree Techniques on Financial Data, Perception-based Data Mining and Decision Making in Economics and Finance, Springer, 155-179.

2006

  • Bailey, T.C., Everson, R.M., Krzanowski, W.J.. (2006) Representing classifier confidence in the safety-critical domain - an illustration from mortality prediction in trauma cases, Neural Computing and Applications, volume 153, no. 1-2, pages 1-10.
  • Žunić J, Kopanja L, Fieldsend JE. (2006) Notes on shape orientation where the standard method does not work, Pattern Recognition, volume 39, no. 5, pages 856-865, DOI:10.1016/j.patcog.2005.11.010.
  • Everson RM, Fieldsend JE. (2006) Multi-objective optimisation for receiver operating characteristic analysis, Multi-Objective Machine Learning, 531-556.
  • Partridge D, Fieldsend JE, Krzanowski W, Bailey TC, Everson RM, Schetinin V. (2006) Computing with confidence: a Bayesian approach, "Carcassonne, France".
  • Schetinin V, Fieldsend JE, Partridge D, Krzanowski WJ, Everson RM, Bailey TC, Hernandez A. (2006) A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems, 82-96.
  • Everson RM, Fieldsend JE. (2006) Multi-Objective Optimisation of Safety Related Systems: An Application to Short Term Conflict Alert, IEEE Transactions on Evolutionary Computation, volume 10, no. 2, pages 187-198.
  • Krzanowski WJ, Fieldsend JE, Bailey TC, Everson RM, Partridge D, Schetinin V. (2006) Confidence in Classification: A Bayesian Approach, Journal of Classification, volume 23, no. 2, pages 199-220, DOI:10.1007/s00357-006-0013-3. [PDF]
  • Partridge D, Bailey TC, Everson RM, Fieldsend JE, Hernandez A, Krzanowski WJ, Schetinin V. (2006) Classification with confidence for critical systems, DEVELOPMENTS IN RISK-BASED APPROACHES TO SAFETY, pages 231-+, DOI:10.1007/1-84628-447-3_13. [PDF]
  • Everson RM, Fieldsend JE. (2006) Multi-class ROC analysis from a multi-objective optimisation perspective, Pattern Recognition Letters, volume 27, no. 8, pages 918-927, DOI:10.1016/j.patrec.2005.10.016. [PDF]
  • Partridge D, Schetinin V, Li D, Coats TJ, Fieldsend JE, Krzanowski WJ, Everson RM, Bailey TC. (2006) Interpretability of Bayesian Decision Trees Induced from Trauma Data, ICAISC 2006, Lecure Notes in Artificial Intelligence, volume 4029, pages 972-981.
  • Fieldsend JE. (2006) Regression Error Characteristic Optimisation of Non-Linear Models, Multi-Objective Machine Learning, 101-123.
  • Everson R, Fieldsend J, Bailey T, Krzanowski W, Partridge D, Hernandez A, Schetinin V. (2006) Optimising Data-Driven Safety Related Systems, "Proceedings of the Fourteenth Safety-critical Systems Symposium, Bristol, UK", pages 217-230.

2005

  • Schetinin V, Fieldsend JE, Partridge D, Krzanowski WJ, Everson RM, Bailey TC, Hernandez A. (2005) The Bayesian Decision Tree Technique with a Sweeping Strategy, DOI:10.48550/arxiv.cs/0504042.
  • Fieldsend JE, Everson RE. (2005) Formulation and comparison of multi-class ROC surfaces, 2nd ROCML workshop, part of the 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany. [PDF]
  • Fieldsend JE, Everson RM. (2005) Multi-objective optimisation in the presence of uncertainty, IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, 2nd - 5th Sep 2005. [PDF]
  • Everson RM, Bailey TC, Krzanowski WJ, Fieldsend JE. (2005) On Evidence Weighted Mixture Classification, Joint Annual Meeting of the Interface and the Classification Society of North America, St. Louis, Missouri, 8th - 12th Jun 2005. [PDF]
  • Alvarez-Benitez JE, Everson RM, Fieldsend JE. (2005) A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts, In Third International Conference on Evolutionary MultiCriterion Optimization, EMO 2005, Mexico, 8th - 11th Mar 2005, Lecture Notes in Computer Science, volume 3410, pages 459-473. [PDF]
  • Schetinin V, Fieldsend JE, Partridge D, Krzanowski WJ, Everson RM, Bailey TC, Hernández A. (2005) Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique, CoRR, volume abs/cs/0504066.
  • Fieldsend JE. (2005) A short note on the efficient random sampling of the multi-dimensional pyramid between a simplex and the origin lying in the unit hypercube, Department of Computer Science, University of Exeter. [PDF]
  • Fieldsend JE, Singh S. (2005) Pareto Evolutionary Neural Networks, IEEE Transactions on Neural Networks, volume 16, no. 2, pages 338-354, DOI:10.1109/TNN.2004.841794. [PDF]
  • Fieldsend JE, Everson RE. (2005) Visualisation of multi-class ROC surfaces, 2nd ROCML workshop, part of the 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany. [PDF]

2004

  • Schetinin V, Partridge D, Krzanowski WJ, Everson RM, Fieldsend JE, Bailey TC, Hernandez A. (2004) Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles, "Exeter, August 25-27, Springer", pages 726-732. [PDF]
  • Fisher MJ, Fieldsend JE, Everson RM. (2004) Precision and Recall Optimisation for Information Access Tasks, "22nd August, Valencia", pages 45-54. [PDF]
  • Fieldsend JE. (2004) Multi-Objective Particle Swarm Optimisation Methods, Department of Computer Science, University of Exeter. [PDF]
  • Fieldsend JE, Everson RM. (2004) ROC Optimisation of Safety Related Systems, Proceedings of ROCAI 2004, part of the 16th European Conference on Artificial Intelligence, "22nd August, Valencia", pages 37-44. [PDF]
  • Fieldsend JE, Singh S. (2004) Optimizing forecast model complexity using multi-objective evolutionary algorithms, Applications of Multi-Objective Evolutionary Algorithms, World Scientific, 675-700. [PDF]
  • Schetinin V, Fieldsend JE, Partridge D, Krzanowski WJ, Everson RM, Bailey TC, Hernandez A. (2004) The Bayesian Decision Tree Technique with a Sweeping Strategy, International Conference on Advances in Intelligent Systems - Theory and Applications (AISTA 2004), Centre De Recherche Public Henri Tudor, Luxembourg, 15th - 18th Nov 2004. [PDF]
  • Smith KI, Everson RM, Fieldsend JE. (2004) Dominance Measures for Multi-Objective Simulated Annealing, "Portland, Oregon", pages 23-30. [PDF]
  • Fieldsend JE, Matatko J, Peng M. (2004) Cardinality constrained portfolio optimisation, 5th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2004), Exeter, England, 25th - 27th Aug 2004, Lecture Notes in Computer Science, volume 3177, pages 788-793. [PDF]
  • Smith K, Everson R, Fieldsend J, Misra R, Murphy C. (2004) Multi-Objective Simulated Annealing for Optimisation of CDMA Network Air-Interface, US.
  • Everson RM, Fieldsend JE. (2004) A variable metric probabilistic k-nearest-neighbours classifier, 5th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2004), Exeeter, England, 25th - 27th Aug 2004, Lecture Notes in Computer Science, volume 3177, pages 654-659. [PDF]

2003

  • Fieldsend JE, Everson RM, Singh S. (2003) Using Unconstrained Elite Archives for Multi- Objective Optimisation, IEEE Transactions on Evolutionary Computation, volume 7, no. 3, pages 305-323, DOI:10.1109/TEVC.2003.810733. [PDF]
  • Fieldsend JE. (2003) Novel Algorithms for Multi-Objective Search and their application in Multi-Objective Evolutionary Neural Network Training. [PDF]
  • Fieldsend JE, Bailey TC, Everson RM, Krzanowski WJ, Partridge D, Schetinin V. (2003) Bayesian inductively learned modules for safety critical systems, 35th Symposium on the Interface: Computing Science and Statistics, Salt Lake City, Usa, 12th - 15th Mar 2003, Computing Science and Statisics, volume 35, pages 110-125. [PDF]

2002

  • Fieldsend JE, Singh S. (2002) A multi-objective algorithm based upon particle swarm optimisation, an efficient data structure and turbulence, UK Workshop on Computational Intelligence (UKCI'02), Birmingham, Uk, 2nd - 4th Sep 2002. [PDF]
  • Everson RM, Fieldsend JE, Singh S. (2002) Full Elite Sets for Multi-Objective Optimisation, 5th International Conference on Adaptive Computing in Design and Manufacture, Exeter, 16th - 18th Apr 2002. [PDF]
  • Fieldsend JE, Singh S. (2002) Pareto multi-objective non-linear regression modelling to aid CAPM analogous forecasting, IEEE International Joint Conference on Neural Networks (IJCNN 02), Honolulu, Hi, 12th - 17th May 2002. [PDF]

2001

  • Singh S, Fieldsend JE. (2001) Pattern Matching and Neural Networks based Hybrid Forecasting System, International Conference on Advances in Pattern Recognition, Lecture Notes in Computer Science, volume 2013, pages 72-82. [PDF]

2000

  • Singh S, Fieldsend JE. (2000) Financial Time Series Forecasts using Fuzzy and Long Memory Pattern Recognition Systems, IEEE/IAFE/INFORMS International Conference on Computational Intelligence for Financial Engineering (CIFEr 2000), 26th - 28th Mar 2000. [PDF]
  • Bovis KJ, Singh S, Fieldsend JE, Pinder C. (2000) Identification of masses in digital mammograms with MLP and RBF Nets, International Joint Conference on Neural Networks 2000 (IJCNN'2000), Como, Itlay, 24th - 27th Jul 2000. [PDF]

1999

  • Fieldsend JE. (1999) Non-linear ARCH Volatility Estimation Using Neural Networks.

Patents

  • Jarman D, Daniels S, Rahat A, Fieldsend J, Everson R, Tabor G. Separator for separating solids from a fluid, Patent Number: 10843105, US, 2020.
  • Misra R, Everson RE, Fieldsend JE, Murphy C, Smith KI. A method of selecting operational parameters in a communication network, Patent Number: WO2005091948, US, 2004.
  • Misra R, Everson RM, Fieldsend JE, Murphy C, Smith KI. A method of selecting operational parameters in a communication network, Patent Number: EP1730980, Europe, 2004.
  • Misra R, Everson RM, Fieldsend JE, Murphy C, Smith KI. A method of selecting operational parameters in a communication network, Patent Number: GB2412275, UK, 2004.

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Further information

Research Group

Lead Supervisor/Co-supervisor (joint, first):

Co-supervisor (joint, second):

Second-supervisor (minority):

  • Eliza Duncan
  • Ben Fourcin
  • Tianle Zhang (Liverpool)

Previous group members:

  • Dr Abdulaziz Almutairi
  • Dr Amjad Alsuwaylimi
  • Dr Khulood Alyahya
  • Ms Silvia Candia
  • Dr Tinkle Chugh
  • Dr George De Ath
  • Dr Kevin Doherty
  • Dr Richard Fredlund
  • Dr Yang Liu (CSC Visiting Scholar, 2015/2016)
  • Dr Daniel Maxwell
  • Mr Jake Pitt
  • Dr Alma Rahat
  • Dr William Reckhouse
  • Dr Tim Seah
  • Prof. Choali Sun (CSC Visiting Academic Summer 2019-Summer 2020)
  • Dr David Walker

Grants

Current grants

Juvenile Diabetes Research Foundation, A comprehensive web-based tool to inform global public health adoption and therapeutic investment decisions on the costs and benefits of identifying people at risk of type-1 diabetes (T1D) world-wide, US $600,000, Dr Brett McQueen (Colorado PI), Prof. Jonathan Fieldsend (Exeter PI), Dr Richard Oram, and Dr Lauric Ferrat (2022-2024)

Previous grants

Innovate UK, From RIBA to Reality – Deep Digital Twin to enable Human-Centric Buildings for a Carbon Neutral Future, £335,912, Prof. Tim Dodwell (PI), Prof. Richard Everson, Dr Matt Eames and Prof. Jonathan Fieldsend (2020-2022)

Juvenile Diabetes Research Foundation, Improved, cost effective prediction of type 1 diabetes in early life using combined prediction models, US $380,760.47, Dr Richard Oram (PI), Prof. Jonathan Fieldsend and Dr Lauric Ferrat (2019-2022)

NERC, BIG data methods for improving windstorm FOOTprint prediction (BigFoot), £1,530,230. Prof. Peter Challenor (PI), Dr Theo Economu, Dr Hywel Williams, Prof. David Stephenson, Dr Chunbo Luo, Dr Jonathan Fieldsend, Prof. Richard Everson (2017-2022)

EPSRC, GW4 Tier 2 HPC Centre for Advanced Architectures, £3,000,000, Prof. S McIntosh-Smith (PI), Dr J Fieldsend, Dr P Calleja, Prof. J Davenport, Prof. M Parsons, Prof. R. Whitaker, Dr O Akman, Prof. B Wingate (2016-2021)

Innovate UK, EPSRC and Hydro International Ltd, KTP11477, £180,584, Prof. Jonathan Fieldsend (PI) and Prof. Gavin Tabor (2018-2021)

Innovate UK, Rapid Calibration for Operational and Strategic Twins, £262,482, Prof. Jonathan Fieldsend (PI), Prof. Richard Everson (2018-2020)

EPSRC, The Parameter Optimisation Problem: Addressing a Key Challenge in Computational Systems Biology, £600,000. Dr Jonathan Fieldsend (PI) and Dr Ozgur Akman (2016-2020)

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

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, KTP008748, £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, KTP008748, £95,000. Prof. Richard Everson (PI) and Dr Jonathan Fieldsend. (2006-2009)

ai Corporation Ltd and the DTI, KTP001046, £223,000. Prof. Richard Everson (PI) and Dr Jonathan Fieldsend. (2004-2007)

Undergraduate Projects

General Topic Areas 

I would be interested in supervising any projects including optimisation and/or machine learning. I also have interests in data visualisation. 

Note: for 2020-21 I am now at capacity for undergraduate project supervision.

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