Portrait of Prof Andrew Crampton Prof Andrew Crampton

View research degree topics that Prof Andrew Crampton might supervise

a.crampton@hud.ac.uk | 01484 472209


  0000-0002-4635-9102  


Biography

I returned to study as a mature student in 1996 when I started a degree in Mathematics and Statistics at the University of Bradford. After graduating with a first class honours in 1999, I started a PhD programme in approximation theory in the School of Computing and Engineering at the University of Huddersfield, under the direction of Professor John Mason.

The research for my PhD thesis mainly concentrated on the reconstruction of smooth surfaces, from noisy scattered data using radial basis function models. The title of my thesis was "Radial Basis and Support Vector Machine Algorithms for Approximating Discrete Data.” The problems that I studied included randomly scattered, structured and semi-structured data approximation, support vector machines with radial kernels (for mixed noise distributions) and detecting and approximating fault lines using discrete Gaussian curvature and locally constructed thin plate spline interpolants.

I completed my PhD in 2002 and after spending three years as a research fellow became a full time senior lecturer.  In 2011 I became the Subject Area Leader for Computing and Information Systems in the Informatics Department and was Acting Head of Department of Informatics from June 2015 until January 2017.

Research and Scholarship

My research falls broadly into the area of Artificial Intelligence.  I am particularly interested in machine learning techniques - in particular I am interested in the use of various loss functions used in support vector machines for the treatment of noisy data (using novel approximation estimators to mitigate the effects of outlier bias).  I also research other supervised and unsupervised learning techniques which includes artificial neural networks (in particular radial basis function networks), clustering techniques, data reduction and data classification.  I also work with colleagues on problems concerned with automated planning, such as knowledge extraction, knowledge representation and automated planning for optimal multi-process control.

Publications and Other Research Outputs

2016

Maglaras, L., Janicke, H., Jiang, J. and Crampton, A. (2016) ‘Novel Intrusion Detection Mechanism with Low Overhead for SCADA Systems’. In: Security Solutions and Applied Cryptography in Smart Grid Communications. Hershey, PA 17033, USA: IGI Global. pp. 160-178. ISBN 9781522518297

Parkinson, S. and Crampton, A. (2016) ‘Identification of irregularities and allocation suggestion of relative file system permissionsJournal of Information Security and Applications , 30, pp. 27-39. ISSN 2214-2126

2015

Jilani, R., Crampton, A., Kitchin, D. and Vallati, M. (2015) ‘ASCoL: a Tool for Improving Automatic Planning Domain Model Acquisition’. In: AI*IA 2015 Advances in Artificial Intelligence : XIVth International Conference of the Italian Association for Artificial Intelligence. : Springer. pp. 438-451. ISBN 978-3-319-24308-5

Parkinson, S., Crampton, A. and Longstaff, A. (2015) ‘Optimising Measurement Processes Using Automated Planning’. In: Advances in Mathematical and Computational Tools in Metrology and Testing. Singapore: World Scientific. pp. 286-292. ISBN 978-981-4678-61-2

2014

Jilani, R., Crampton, A., Kitchin, D. and Vallati, M. (2014) ‘ASCoL: Automated Acquisition of Domain Specific Static Constraints from Plan Traces’. In: The UK Planning and Scheduling Special Interest Group (UK PlanSIG) 2014, 15th December 2014, Teeside, UK

Jilani, R., Crampton, A., Kitchin, D. and Vallati, M. (2014) ‘Automated Knowledge Engineering Tools in Planning: State-of-the-art and Future Challenges’. In: Knowledge Engineering for Planning and Scheduling (KEPS) - part of ICAPS 2014, 21-26 June 2014, Portsmouth, NH, USA

Simon, P., Andrew, L., Andrew, C. and Peter, G. (2014) ‘Automated Planning for Multi-Objective Machine Tool Calibration: Optimising Makespan and Measurement Uncertainty’. In: Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling. Portsmouth, USA: Association for the Advancement of Arti?cial Intelligence AAAI. pp. 421-429.

2013

Vallati, M., Chrpa, L. and Crampton, A. (2013) ‘Underestimation vs Overestimation in SAT-based Planning’. In: Proceedings of the XIII Conference of the Italian Association for Artificial Intelligence (Ai*iA-13). Turin, Italy: Springer. pp. 276-287. ISBN 978-3-319-03524-6

Parkinson, S. and Crampton, A. (2013) ‘A Novel Software Tool for Analysing NT® File System PermissionsInternational Journal of Advanced Computer Science and Applications , 4 (6), pp. 266-272. ISSN 2156-5570

2012

Parkinson, S., Longstaff, A., Crampton, A. and Gregory, P. (2012) ‘The Application of Automated Planning to Machine Tool Calibration’. In: Proceedings of the 22nd International Conference on Automated Planning and Scheduling (ICAPS 2012). Atibaia, São Paulo, Brazil: ICAPS 2012. pp. 216-224. ISBN 9781577355625

Naveed, M., Kitchin, D., Crampton, A., Chrpa, L. and Gregory, P. (2012) ‘A Monte-Carlo Path Planner for Dynamic and Partially Observable Environments’. In: Computational Intelligence and Games (CIG), 2012 IEEE Conference on. : IEEE Computational Intelligence Society. pp. 211-218. ISBN 9781467311939

Naveed, M., Kitchin, D., Crampton, A., Chrpa, L. and Gregory, P. (2012) ‘A Monte-Carlo Path Planner for Dynamic and Partially Observable Environments’. In: Computing in Games (CIG) 2012, 11-14 September 2012, Granada, Spain

Parkinson, S., Longstaff, A., Crampton, A. and Gregory, P. (2012) ‘The Application of Automated Planning to Machine Tool Calibration’. In: Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling. California, USA: AAAI Press. pp. 216-224. ISBN 978-1-57735-562-5

Parkinson, S., Longstaff, A., Fletcher, S., Crampton, A. and Gregory, P. (2012) ‘Automatic planning for machine tool calibration: A case studyExpert Systems with Applications , 39 (13), pp. 11367-11377. ISSN 09574174

Parkinson, S., Longstaff, A., Crampton, A., Fletcher, S., Allen, G. and Myers, A. (2012) ‘Automation as a Solution for Machine Tool Calibration Planning’. In: Proceedings of The Queen’s Diamond Jubilee Computing and Engineering Annual Researchers’ Conference 2012: CEARC’12. Huddersfield: University of Huddersfield. pp. 57-62. ISBN 978-1-86218-106-9

Parkinson, S., Longstaff, A., Crampton, A., Allen, G., Fletcher, S. and Myers, A. (2012) ‘The use of Cryptographic Principles within Metrology Software’. In: Advanced Mathematical and Computational Tools in Metrology and Testing. Singapore, China: World Scientific. pp. 292-296.

2011

Parkinson, S., Longstaff, A., Allen, G., Crampton, A., Fletcher, S. and Myers, A. (2011) ‘Hierarchical Task Based Process Planning For Machine Tool CalibrationProceedings of The 29th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG2011) , pp. 53-60. ISSN 1368-5708

Naveed, M., Crampton, A., Kitchin, D. and McCluskey, T. (2011) Real-Time Path Planning using a Simulation-Based Markov Decision Process . Research and Development in Intelligent Systems XXVIII Research and Development in Intelligent Systems XXVIII. London: Springer. ISBN 978-1-4471-2317-0

Parkinson, S., Longstaff, A., Crampton, A., Fletcher, S., Allen, G. and Myers, A. (2011) ‘Representing the Process of Machine Tool Calibration in First-order Logic’. In: Proceedings of the 17th International Conference on Automation & Computing. Huddersfield, UK: Chinese Automation and Computing Society. . ISBN 978-1-86218-098-7

Parkinson, S., Longstaff, A., Crampton, A., Allen, G., Fletcher, S. and Myers, A. (2011) ‘The use of Cryptographic Principles within Metrology Software’. In: Advanced Mathematical and Computational Tools in Metrology (AMCTM) 2011, 20-23 June 2011, Gothenburg, Sweden

Parkinson, S., Longstaff, A., Fletcher, S., Allen, G., Crampton, A. and Myers, A. (2011) ‘Controlling Machine Tool Accuracy Through a Robust Calibration Process’. In: Yorkshire and North East Vitae Public Engagement Competition, 6th April 2011, Durham town hall

Parkinson, S. and Crampton, A.(2011) NTFS Permissions Explorer. Huddersfield: University of Huddersfield (Unpublished).

Parkinson, S., Longstaff, A., Fletcher, S., Crampton, A., Allen, G. and Myers, A. (2011) ‘Cryptographic Techniques in Metrology Software’. In: University of Huddersfield Annual Research Festival School of Computing and Engineering 12th March 2010, Friday 12th March 2010, University of Huddersfield

2010

Naveed, M., Kitchin, D. and Crampton, A. (2010) ‘Monte-Carlo Planning for Pathfinding in Real-Time Strategy Games’. In: Proceedings of PlanSIG 2010. 28th Workshop of the UK Special Interest Group on Planning and Scheduling joint meeting with the 4th Italian Workshop on Planning and Scheduling. Brescia, Italy: PlanSIG. pp. 125-132.

Parkinson, S., Longstaff, A., Fletcher, S., Allen, G., Crampton, A. and Myers, A. (2010) ‘A novel framework for establishing a machine tool quality metric’. In: Future Technologies in Computing and Engineering: Proceedings of Computing and Engineering Annual Researchers' Conference 2010: CEARC’10. Huddersfield: University of Huddersfield. . ISBN 9781862180932

Naveed, M., Kitchin, D. and Crampton, A. (2010) ‘A Hierarchical Task Network Planner for Pathfinding in Real-Time Strategy Games’. In: Third International Symposium on AI & Games, AISB 2010 convention, 29 March – 1 April 2010, De Montfort University, Leicester, UK , pp. 1-7

2009

Naveed, M., Kitchin, D. and Crampton, A. (2009) ‘Dynamic real-time hierarchical heuristic search for pathfinding.’. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2009: CEARC’09. Huddersfield: University of Huddersfield. pp. 153-158. ISBN 9781862180857

2008

Fieldhouse, J., Bryant, D., Crampton, A., Talbot, C. and Layfield, J. (2008) ‘A study of thermal judder on a laboratory dynamometer’. In: SAE Brake Colloquium & Engineering Display, October 2008, San Antonio USA

Bryant, D., Fieldhouse, J., Crampton, A., Talbot, C. and Layfield, J. (2008) ‘Thermal Brake Judder Investigations Using a High Speed Dynamometer’. In: Brake Technology, 2008. : SAE. . ISBN 978-0-7680-2030-4

Bryant, D., Fieldhouse, J., Crampton, A. and Talbot, C. (2008) ‘Hot Judder Investigations Using a High Speed Brake Dynamometer’. In: Inaugural Automotive Researchers' Conference, 8-9 January 2008, University of Huddersfield

2007

Zhang, X., Jiang, X. and Crampton, A. (2007) ‘Numerical Analysis of the Boundary Effect of Radial Basis Functions in 3D Surface Reconstruction’. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2007: CEARC’07. Huddersfield: University of Huddersfield. pp. 1-6.

Fieldhouse, J., Steel, W., Talbot, C. and Crampton, A. (2007) ‘Measurement of absolute displacement of a twin calliper disc brake during noise’. In: 10th EAEC European Automotive Congress (EAEC 2005). : Curran Associates. . ISBN 9781604236040

Talbot, C., Crampton, A., Fieldhouse, J. and Steel, W. (2007) ‘Mathematical modelling of brake noise vibrations using spectral methods’. In: 22nd Imac Conference and Exposition 2004 (Imac Xxii). : Curran Associates. . ISBN 9781604238020

Crampton, A., Talbot, C. and Terry, J. (2007) ‘Feature Extraction and Parameter Estimation as a Tool for Acoustical Analysis’. In: Curve and Surface Fitting: Avignon 2006. Brentwood, TN: Nashboro Press. pp. 81-90. ISBN 978-0-9728482-8-2

2006

Bryant, D., Crampton, A., Fieldhouse, J. and Talbot, C. (2006) ‘Discussion of characteristics of brake judder and the necessary data acquisition system for complete analysis’. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2006: CEARC’06. Huddersfield: University of Huddersfield. pp. 1-6.

Brennan, J., Jiang, X., Crampton, A. and Leach, R. (2006) ‘Propagation of measurement uncertainty for surface texture parameters’. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2006: CEARC’06. Huddersfield: University of Huddersfield. pp. 1-6.

Fieldhouse, J., Bryant, D., Talbot, C., Crampton, A. and Mishra, R. (2006) ‘The development of a design methodology to reduce the probability of brake judder and drone due to thermo-elastic instabilities of the brake rotor’. In: FISITA World Automotive Congress 2006, , Yokohama, Japan

Talbot, C. and Crampton, A. (2006) ‘Pseudo spectral methods applied to problems in elasticityJournal of Scientific Computing , 27 (1-3), pp. 443-454. ISSN 1573-7691

Crampton, A. and Forbes, A. (2006) ‘Spline approximation using knot density functions’. In: Algorithms for Approximation. London: Springer. pp. 249-258. ISBN 978-3-540-33283-1

2005

Terry, J., Crampton, A. and Talbot, C. (2005) ‘Passive Sonar Harmonic Detection Using Feature Extraction and Clustering Analysis’. In: OCEANS 2005 MTS/IEEE “One Ocean” Conference, 18-23 September 2005, Washington D.C.

Crampton, A. and Mason, J. (2005) ‘Detecting and approximating fault lines from randomly scattered dataJournal of Numerical Algorithms , 39 (1-3), pp. 115-130. ISSN 1017-1398

Brennan, J., Crampton, A., Jiang, X., Leach, R. and Harris, P. (2005) ‘Approximation of surface roughness profiles and parameters’. In: International Conference on Advanced Mathematical and Computational Tools in Metrology (AMCTM 2005), 27–29 June, 2005, Instituto Português da Qualidade, Caparica, Portugal

Brennan, J., Crampton, A., Jiang, X., Leach, R. and Harris, P. (2005) ‘Reconstruction of continuous surface profiles from discretely sampled data’. In: 5th euspen International Conference, 9th-12th May 2005, Montpellier, France

Mason, J. and Crampton, A. (2005) ‘Laurent-Pade approximants to four kinds of Chebyshev polynomial expansion. Part 1. Maehly type approximantsJournal of Numerical Algorithms , 38 (1), pp. 3-18. ISSN 1572-9265

Mason, J. and Crampton, A. (2005) ‘Laurent-Pade approximants to four kinds of Chebyshev polynomial expansion. Part 2. Clenshaw-Lord type approximantsJournal of Numerical Algorithms , 38 (1), pp. 19-29. ISSN 1572-9265

Talbot, C. and Crampton, A. (2005) ‘Application of the pseudo-spectral method to 2D eigenvalue problems in elasticityJournal of Numerical Algorithms 38 Special Issue: Chebyshev Polynomials , 38, pp. 95-110. ISSN 1017-139

Terry, J., Crampton, A. and Talbot, C. (2005) ‘Associating families of curves using feature extraction and cluster analysis’. In: Algorithms for Approximation. Berlin: Springer. pp. 71-80. ISBN 978-3-540-33283-1

Brennan, J., Crampton, A., Jiang, X., Leach, R. and Harris, P. (2005) ‘Propagation of uncertainty in discretely sampled surface roughness profilesAdvanced mathematical and computational tools in metrology VII , pp. 271-275.

Brennan, J., Crampton, A., Jiang, X., Leach, R. and Harris, P. (2005) ‘Approximation of surface texture profilesJournal of Physics , Series, pp. 264-267. ISSN 1742-6596

2004

Talbot, C., Fieldhouse, J., Steel, W. and Crampton, A. (2004) ‘Pseudo-spectral methods applied to the mathematical modelling of disc brake squeal’. In: Braking 2004: Vehicle Braking and Chassis Control. : Wiley. pp. 157-166. ISBN 978-1-86058-464-0

Steel, W., Fieldhouse, J., Talbot, C. and Crampton, A. (2004) ‘In-plane vibration investigations of a noisy disc brake’. In: Braking 2004: Vehicle Braking and Chassis Control. : Wiley. pp. 103-112. ISBN 978-1-86058-464-0

Jenkinson, D., Crampton, A., Mason, J., Cox, M., Forbes, A. and Boudjemae, R. (2004) ‘Parameterised approximation estimators for mixed noise distributions’. In: Advanced Mathematical & Computational Tools In Metrology Vi. : World Scientific. pp. 67-81. ISBN 978-981-238-904-6

Steel, W., Fieldhouse, J., Talbot, C. and Crampton, A. (2004) ‘Modelling 3D displacement in a disc brake rotor generating noise’. In: FISITA 2004 World Automotive Congress, 23rd-27th May, 2004, Barcelona, Spain

Steel, W., Fieldhouse, J., Talbot, C. and Crampton, A. (2004) ‘In-plane disc brake vibration measurement using holographic interferometry’. In: Total Vehicle Technology: Finding the Radical, Implementing the Practical (3rd International Conference). : Wiley. pp. 261-274. ISBN 9781860584602

Jenkinson, D., Mason, J. and Crampton, A. (2004) ‘Iteratively weighted approximation algorithms for nonlinear problems using radial basis function examplesApplied Numerical Analysis & Computational Mathematics , 1 (1), pp. 165-179. ISSN 1611-8170

2003

Crampton, A., Fieldhouse, J., Talbot, C. and Steel, W. (2003) ‘Modeling disc brake noise using spectral methods’. In: 5th EUROMECH Solid Mechanics Conference, 17-22 August 2003, AUT, Thessaloniki, GREECE

Fieldhouse, J., Talbot, C., Steel, W. and Crampton, A. (2003) ‘The measurement of in-plane vibration characteristics of a noisy twin calliper disc brake’. In: Inter-noise 2003. : Internoise. pp. 135-142. ISBN 9788995218914

Lei, D., Crampton, A., Mason, J. and Ross, C. (2003) ‘An efficient algorithm for solving linearized SVM regression problems’. In: Curve and Surface Fitting: Saint-Malo 2002. Brentwood: Nashboro Press. pp. 249-258. ISBN 0-9728482-1-5

Talbot, C., Fieldhouse, J., Steel, W. and Crampton, A. (2003) ‘Modelling in-plane and out-of-plane vibrations in disc brake squeal’. In: Inter-noise 2003. : Internoise. pp. 3003-3011. ISBN 9788995218914

Kendall, S., Crampton, A. and Mason, J. (2003) ‘Shape preserving approximation with large sets of scattered data’. In: Curve and Surface Fitting: Saint-Malo 2002. Brentwood: Nashboro Press. pp. 89-96. ISBN 0-9728482-1-5

2002

Mason, J. and Crampton, A. (2002) ‘Application of orthogonalisation procedures for Gaussian radial basis function and Chebyshev polynomials’. In: Algorithms for approximation IV. Huddersfield: University of Huddersfield. pp. 236-243. ISBN 9781862180406

Tong, R., Crampton, A. and Trefethen, A. (2002) ‘What are 'good' points for local interpolation by radial basis functions?’. In: Algorithms for Approximation IV. Huddersfield: University of Huddersfield. pp. 260-267. ISBN 9781862180406

2001

Crampton, A., Mason, J. and Turner, D. (2001) ‘Approximating semi-structure data with different errors using support vector machine regression’. In: Mathematical methods for curves and surfaces. Nashville: Vanderbilt University Press. pp. 63-72. ISBN 9780826513786

Crampton, A. and Mason, J. (2001) ‘Surface approximation of curved data using separable radial basis functions’. In: Advanced mathematical and computational tools in metrology V. London: World Scientific Publishing. pp. 118-125. ISBN 9810244940

Crampton, A (2001) ‘Why is numerical analysis important to metrology?’. In: National Measurement and British Electro Magnetic Conference, November 2001, Harrogate

Esteem

Sub-reviewer for the 2nd Global Conference on Artificial Intelligence, GCAI 2016

Programme Committee Member for 25th International Joint Conference on Artificial Intelligence, IJCAI-16

Co-organiser of the 29th Workshop of the UK Planning and Scheduling Special Interest Group, PlanSIG

Member of the Scientific and Organising Committee for both the Third and Fourth Algorithms for Approximation conference series

Research Degree Supervision

I am happy to discuss any suitable topics that align with my current research interests.  If you have some ideas that you would like to discuss or explore further please get in touch. 

Two areas concerned with machine learning that I would be particularly interested in are:

  1. Use of mapping functions for highly non-linear parameter optimisation.  Certain machine learning models, used to describe the behaviour of various systems, require optimised parameters to be ascertained.  However, when these parameters appear non-linearly in the models used (for example when optimising the locations of knots in a spline model or centres in a radial basis function model) it can be extremely difficult to find optimal values efficiently using current non-linear optimisation algorithms.  This project will research the effectiveness of finding optimal values by projecting them from some simple starting point through a mapping function, which can be constructed to have considerably fewer parameters describing its shape.
     
  2. Use of novel approximation estimators for approximating data exhibiting mixed noise distributions.  Noisy data can have a significant impact on the quality of a model.  For example, the accuracy of a prediction model used to classify medical data can be crucially affected by the quality of the training data.  This can sometimes be dealt with through pre-processing, but when the data is large this is not always feasible and so some form of robust mechanism needs to be included into the learning process to mitigate these potential effects. In this project, robust estimators will be investigated which control the influence that mixed noise distributions can have on the final model by asymptotically bounding individual contributions to the accumulated loss.

Current opportunities

Postgraduate research opportunities with Prof Andrew Crampton

2017-18

PhD
MSc by Research

2018-19

PhD
MSc by Research

Teaching and Professional Activities

I am a strong believer in Work Based Learning and as such I have been the Academic Coordinator for the Placements Unit within the School of Computing and Engineering for a number of years.

I have won a number of student nominated teaching awards: I was a finalist in the 2008 Extra Mile Awards and I won the Award for Inspirational Teaching at the Annual Thank You Awards in 2014.  I was again nominated for a Thank You Award by students in 2016.

I represent the School of Computing and Engineering on the University Teaching and Learning Committee, I regularly chair Subject Review and Revalidation events across the University and I also chair University Accreditation and Validation Panels.

I am a professional member of the British Computer Society and I am a Fellow of the Higher Education Academy