Projects per year
Personal profile
Research Degree Supervision
If you are interested in studying for a PhD in this research subject area click here
For more details about the research topics, expertise and interests of this academic, click on the fingerprint icon
Google Scholar h-Index
14 from 553 citations
Last updated 5th July 2024
Biography
Andrew Crampton is Professor of Computational Mathematics, Associate Dean for Teaching and Learning and a member of the Centre for Autonomous and Intelligent Systems at the University of Huddersfield
After returning to study as a mature student he completed his undergraduate degree in Mathematics and Statistics at the University of Bradford in 1999. Andrew completed a PhD programme in approximation theory at the University of Huddersfield, UK in 2002, under the direction of Professor John Mason.
The research for Andrew’s PhD thesis mainly concentrated on the reconstruction of smooth surfaces, from noisy, scattered data using radial basis function models. The title of his thesis was "Radial Basis and Support Vector Machine Algorithms for Approximating Discrete Data.” The problems that Andrew studied included randomly scattered, structured and semi-structured data approximation using novel approximation estimators to mitigate the effects of outlier bias.
Though his current research focuses on applications of machine learning, Andrew has successfully supervised more than ten PhD students covering areas in disc-brake vibration analysis, SCADA systems, network security, 3d printing, neuro-fuzzy inference systems and non-linear parameter estimation for feed-forward networks. Andrew has also worked with colleagues on problems concerned with automated planning, such as knowledge extraction, knowledge representation and automated planning for optimal multi-process control.
In addition to his Associate Dean role, he teaches Computational Mathematics and Linear Algebra, and oversees the School’s Placement Unit as Academic Co-ordinator.
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
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Projects
- 1 Finished
-
Keyhole Porosity Identification and Localization via X-Ray Imaging With YOLO
Ansari, M. A., Crampton, A. & Parkinson, S., 6 May 2024, In: IEEE Access. 12, p. 61049-61061 13 p., 10507798.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
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 Access7 Citations (Scopus) -
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 Access26 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 Access12 Citations (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 Access9 Citations (Scopus)
Activities
- 2 Oral presentation
-
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
-
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