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12 from 418 citations
Last updated 10th March 2023
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. In May 2017 I became Associate Dean (T&L).
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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research Expertise and Interests
- Artificial Intelligence
- Machine Learning Techniques
- Loss Functions
- Support Vector Machines
- Noisy Data
- Artificial Neural Networks
- Radial Basis Function Networks
- Clustering Techniques
- Data Reduction
- Data Classification
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Projects
- 1 Finished
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An empirical analysis of keystroke dynamics in passwords: a longitudinal study
Parkinson, S., Khan, S., Badea, A-M., Crampton, A., Liu, P. & Xu, Q., 1 Jan 2023, In: IET Biometrics. 12, 1, p. 25-37 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Convolutional Neural Network (CNN) classification to identify the presence of pores in powder bed fusion images
Ansari, M. A., Crampton, A., Garrard, R., Cai, B. & Attallah, M., 1 Jun 2022, In: International Journal of Advanced Manufacturing Technology. 120, 7-8, p. 5133-5150 18 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
A Layer-Wise Surface Deformation Defect Detection by Convolutional Neural Networks in Laser Powder-Bed Fusion Images
Ansari, M. A., Crampton, A. & Parkinson, S., 14 Oct 2022, In: Materials. 15, 20, 20 p., 7166.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Robust data expansion for optimised modelling using adaptive neuro-fuzzy inference systems
Mubarak, S. M. J., Crampton, A., Carter, J. & Parkinson, S., 1 Mar 2022, In: Expert Systems with Applications. 189, 12 p., 116138.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Password policy characteristics and keystroke biometric authentication
Parkinson, S., Khan, S., Crampton, A., Xu, Q., Xie, W., Liu, P. & Dakin, K., 1 Mar 2021, In: IET Biometrics. 10, 2, p. 163-178 16 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus)
Activities
- 2 Oral presentation
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ASCoL: Automated Acquisition of Domain Specific Static Constraints from Plan Traces
Rabia Jilani (Speaker), Andrew Crampton (Speaker), Diane Kitchin (Speaker) & Mauro Vallati (Speaker)
15 Dec 2014Activity: Talk or presentation types › Oral presentation
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Automated Knowledge Engineering Tools in Planning: State-of-the-Art and Future Challenges
Rabia Jilani (Speaker), Andrew Crampton (Speaker), Diane Kitchin (Speaker) & Mauro Vallati (Speaker)
21 Jun 2014Activity: Talk or presentation types › Oral presentation