I am a lecturer in the Computational Engineering and Design Group in the
This is my main area of research. At present I am working on improved Gaussian process error estimation and applications of co-kriging.
I recently finished a book on surrogate modelling with András Sóbester and Andy Keane (see list of publications below). This book has an accompanying suite of Matlab software which you can download for free.
My surrogate modelling based optimization methods have been applied to wing aerodynamics, satellite structures, sports equipment design and Formula One. I am now working predominantly in musculoskeletal simulation based optimization.
Correlated experiments in race car design
Pedal powered wing in ground effect vehicles
We designed and built The Gadget Show entry for the Worthing Birdman competition which, piloted by Jason Bradbury, flew the furthest in the da Vinci class.
Computational fluid dynamics, aerodynamic/structural testing in the RJ Mitchell wind tunnel and our final Birdman aircraft in mid flight (photograph by András Sóbester).
Design (Part I Mechanical Engineering and Aerospace Engineering)
Design Search and Optimization – surrogate modelling case study (part IV MEng, MSc, EngD, PhD)
Y. Kuya, K. Takeda, X. Zhang, A. I. J. Forrester, Multi-Fidelity Surrogate Modelling of Experimental and Computational Aerodynamic Data Sets, AIAA Journal (under review).
A. I. J. Forrester, Black-box calibration for complex systems simulation, Phil. Trans. R. Soc. A, 368(1924), 3567-3579, (doi: 10.1098/rsta.2010.0051) (from Royal Society website),
C. Phillips, A. I. J. Forrester, A. Purdue, M. J. Stokes, Optimization of a Bicycle Chain-Ring to Aid in Rehabilitation of Athletes Suffering from Patellofemoral Pain Syndrome (PFPS). Procedia Engineering, 2(2010), 3151-3156.
A. Purdue, A. I. J. Forrester, M. Taylor, M. J. Stokes, M. Warner, Efficient Human Force Transmission for a Specific Cyclist. Procedia Engineering, 2(2010), 2543-2548.
C. Phillips, A. I. J. Forrester, A. Purdue, M. J. Stokes, Optimization of a Bicycle Chain-Ring to Aid in Rehabilitation of Athletes Suffering from Patellofemoral Pain Syndrome (PFPS). 8th Conference of the International Sports Engineering Association, Vienna, Austria.
A. Purdue, A. I. J. Forrester, M. Taylor, M. J. Stokes, M. Warner, Efficient Human Force Transmission for a Specific Cyclist. 8th Conference of the International Sports Engineering Association, Vienna, Austria.
N. W. Bressloff, S. Pant, A. I. J. Forrester, N. Curzen, The influence of strut-connectors in stented vessels: A comparison of pulsatile flow through five coronary stents, Annals of Biomedical Engineering, 38, (5), 1893-1907. (doi:10.1007/s10439-010-9962-0)
A. I. J. Forrester, Surrogate-based Constrained Multi-Objective Optimization, International Workshop - Machine Learning for Aerospace 2009, Marseille.
A. Viswanath, A. I. J. Forrester, and A. J. Keane, Design Space Reduction in Optimization Using Generative Topographic Mapping, in Proc. 8th World Congress on Structural and Multidisciplinary Optimization, ed. H.C. Rodrigues, J.M. Guedes, P.R. Fernandes, J.O. Flogado and M.M. Neves, ISSMO, ISBN 978-989-20-1554-5, Lisbon (2009).
D. J. J. Toal, A. I. J. Forrester, N. W. Bressloff, A. J. Keane and Carren Holden, An adjoint for likelihood maximization, Proc. R. Soc. A, 465(2111), 3267-3287, (doi:10.1098/rspa.2009.0096), (corrected pre-print).
A. I. J. Forrester, A. Sóbester, A. J. Keane, Engineering Design via Surrogate Modelling: A Practical Guide, John Wiley & Sons, Chichester, 240 pages, ISBN 978-0-470-06068-1. (order and see excerpts from Wiley)
A. I. J. Forrester, A. Sóbester, A. J. Keane, Engineering Design via Surrogate Modelling: A Practical Guide, AIAA Progress in Astronautics and Aeronautics, Vol. 226, Washington, DC, ISBN 978-1-56347-955-7, series editor-in-chief, Frank K. Lu. (order from the AIAA)
A. I. J. Forrester, A. J. Keane, Recent advances in surrogate-based optimization, Progress in Aerospace Sciences, 45(1-3), 50-79, (doi:10.1016/j.paerosci.2008.11.001), (corrected pre-print).
A. I. J. Forrester, D. R. Jones, Global optimization of deceptive functions with sparse sampling, 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Victoria, British Colombia, 10-12 September 2008.
A. I. J. Forrester, A. Sóbester, A. J. Keane, Multi-fidelity optimization via surrogate modelling, Proc. R. Soc. A, 463(2088), 3251-3269, (doi:10.1098/rspa.2007.1900), (pre-print).
A. I. J. Forrester, A. J. Keane, Multi-variable geometry repair and optimization of passive vibration isolators, 3rd AIAA Multidisciplinary Design Optimization Specialist Conference, Hawaii, April 2007.
A. I. J. Forrester, A. Sóbester, A. J. Keane, Optimization with missing data, Proc. R. Soc. A, 462(2067), 935-945, (doi:10.1098/rspa.2005.1608).
A. I. J. Forrester, N. W. Bressloff, A. J. Keane, Optimization using surrogate models and partially converged computational fluid dynamics simulations, Proc. R. Soc. A, 462(2071), 2177-2204, (doi:10.1098/rspa.2006.1679).
A. I. J. Forrester, N. W. Bressloff, A. J. Keane, Design and analysis of ‘noisy’ computer experiments, AIAA journal, 44(10), 2331-2339, (doi:10.2514/1.20068).
A. I. J. Forrester, A. J. Keane, Novel passive vibration isolators, ISMA International Conference on Noise and Vibration Engineering, Leuven, September 2006.
A. I. J. Forrester, Efficient Global Aerodynamic Optimisation Using Expensive Computational Fluid Dynamics Simulations, PhD thesis, University of Southampton, UK, November 2004.
N. W. Bressloff, A. I. J. Forrester, J. Banks, K. V. Bhaskar, Shape optimization of the carotid artery bifurcation, Proc. 5th ASMO-UK/ISSMO Conf. on Engineering Design Optimization, Stratford upon Avon, 2004.
Improvements Relating to Computational Design Methods, inventors: A. I. J. Forrester, N. W. Bressloff, A. J. Keane, International Patent Office Application No. PCT/GB2004/002713 (10/10/04), BAE Systems ref: XA1802 GB/EP.
A. I. J. Forrester, N. W. Bressloff, A. J. Keane, Response Surface Model Evolution, 16th AIAA Computational Fluid Dynamics Conference, Orlando, 2003, AIAA Paper No. 2003-4089.
EPSRC (via the ESPRIT consortium): “Optimized athlete body sensor networks for simulation-based performance analysis” - £156,000
with Stephen Turnock, Dominic Taunton and Maria Stokes
North One Productions: Gadget Show Birdman entry - £4,000
Royal Academy of Engineering Travel Grant - £700.
Royal Society Research Grant: “Efficient human pseudo-reciprocating force to rotational motion transfer via torque profiling” - £14,935.
Royal Society Conference Grant - £1,100
Proceedings of the Royal Society A
Structural and Multidisciplinary Optimization
12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
John Wiley & Sons
Journal of Computational and Applied Mathematics
1983 – 1989 Carsington and Hopton CE Primary School, Derbyshire
1989 – 1992 Ackworth School, Ackworth,
1992 – 1996 Highfields School, Matlock, Derbyshire
1997 – 2001 MEng Aerospace Engineering,
2001 – 2004 PhD Student, Computational Engineering and Design
2005 – 2007 Research Fellow, Computational Engineering and Design
Group, School of Engineering Sciences,
2007 – present Lecturer, Computational Engineering and
The expense of high fidelity computational fluid dynamics, in terms of time and amount of computing resources required, excludes
such methods from the early stages of aircraft design. It is only in the early, conceptual, stage of aircraft development where a
wide range of designs are considered and global, rather than local, optimisation can play a key role. This thesis
deals with methods which may allow high cost computer simulations to be used within a global optimisation design process. The first
half of the thesis concentrates on the use of surrogate modeling of the optimisation design space, which allows cheap
approximations to be used in lieu of expensive computer simulations. The process is automated and present statistical
methods are modified to accommodate problems associated with the simulation of fluid flow and uncertainty within an automated
system. The re-interpolation of a regression model of noisy data is presented as a method of improving convergence towards a global
optimum. The second half of the thesis develops methods of using partially converged computational fluid dynamics simulations
within a surrogate modelling optimisation process. Significant time savings are made possible by reducing computational effort
directed at producing a surrogate for regions of poor designs and concentrating resources on modelling regions of promising designs.
An interesting case study, which I spent a great deal of time researching during the first year of my PhD, is the optimization of the shape and orientation of flap-track fairings. Flap-track fairings are the bits that cover the parts that move the things that give the aeroplane more lift when landing: Easyjet conveniently paint them orange.
For my 3rd year undergraduate project I investigated the optimum configuration for low drag bicycles. Much of the information in this project is relevant to someone buying a new set of wheels, but who doesn’t have any knowledge of aerodynamics. The results I obtained from wind tunnel tests are quite interesting, and I have written a paper explaining my findings. Further testing would be required to make the research worth publishing in a quality journal and I’m unlikely to get round to doing this, but feel free to download the paper – perhaps you could pick up where I left off.