Research Output per year
Personal profile
Biography
I possess broad expertise in the application of statistical methods, machine learning, mathematical modelling, optimisation methods and control system theory.
I have accumulated considerable advanced technical engineering experience from periods spent in the power, aerospace and process industries. I have also worked within the academic sector on EPSRC funded research programmes, both at City University (London) and Strathclyde University (Glasgow).
I graduated from The City University, London, with a 1st Class Honours Degree in Electronics Engineering in 1986. Subsequently I gained a Masters Degree with Distinction in Control Engineering in 1993, again from City University. I was awarded a PhD in 1998 by the University of Strathclyde for research into supervisory control of power plants. I am a Chartered Engineer and Member of the Institute of Engineering and Technology (IET UK)
Education/Academic qualification
Control Engineering, Doctorate, University of Strathclyde
1 Jan 1993 → 31 May 1995
Control Engineering, MSc, City University of London
1 Sep 1990 → 31 Mar 1993
Secondary Mathematics Teaching, Postgraduate Certificate, Canterbury Christ Church University
1 Sep 1986 → 30 Jun 1987
Electronics Engineering, Degree, City University of London
1 Sep 1983 → 30 Jun 1986
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Research Output 1993 2015
Evaluation of Surrogate Modelling Methods for Turbo-Machinery Component design Optimization
Badjan, G., Poloni, C., Pike, A. & Ince, N., 31 Jan 2015, Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. . Greiner, D., Galván, B., Périaux, J., Gauger, N., Giannakoglou, K. C. & Winter, G. (eds.). Springer, p. 209-223 14 p. (Computational Methods in Applied Sciences; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Chapter
Machinery
Radial basis function networks
Neural networks
Design optimization
Costs
Evaluation of Surrogate Modelling Methods for Turbo-Machinery Component design Optimization
Badjan, G., Poloni, C., Pike, A. & Ince, N., 1 Oct 2013.Research output: Contribution to conference › Paper
Different Condition Monitoring Models for Gas Turbines by means of Artificial Neural Networks.
Palme, T., Fast, M., Assadi, M., Pike, A. & Breuhaus, P., 30 Jun 2009.Research output: Contribution to conference › Paper
Adaptive Sensor Model
Dixon, R. & Pike, A., 30 Nov 2007, IPC No. GB2404999, EP 1696288 (A1), US7356371 (B2), Patent No. US7356371B2, 1 Nov 2007, Priority date 2 Nov 2005Research output: Patent
Open Access
ALSTOM Benchmark Challenge II on Gasifier Control
Dixon, R. & Pike, A., 30 May 2006, IEE Proceedings - Control Theory and Applications . 3 ed. IET, Vol. 153. p. 254-261 8 p. ( IEE Proceedings - Control Theory and Applications).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding
Activities 2010 2018
Mechatronics (Journal)
Andrew Pike (Peer Reviewer)1 Sep 2018 → …
Activity: Publication peer-review and editorial work › Publication peer-review
Innovate UK (External organisation)
Andrew Pike (Member)Oct 2015 → Jan 2018
Activity: Membership › Membership of working group
University of Leicester
Andrew Pike (Supervisor)Oct 2012 → Jan 2018
Activity: Visiting an external institution › Visiting an external academic institution
Prizes
Alstom Power Technology Centre (Whetstone UK) Director's Award for an outstanding project
Andrew Pike (Recipient), 1 Dec 2003
Prize: Other distinction
Gas turbines
Sensors
ALSTOM Technical Expert in Mathematical, Statistical and Scientific methods
Andrew Pike (Recipient), Nov 2015
Prize: Other distinction
Leadership
Research and Development
Statistical method
Completion
mathematics
industry