Aeronautical and Automotive Engineering

Staff

Dr Mark Cary M.Eng, PhD

Photo of Dr Mark Cary

Senior Technical Specialist/Leader in Industry

Mark spent 34.5 years in the automotive industry as a technical specialist at Ford’s Dunton technical centre in Essex. Much of his work involved generating empirical models of engine performance parameters from large scale experiments known as a “map”. Mark’s PhD led to the commercial development of the MATLAB model-based calibration (MBC) toolbox. He has expertise in internal combustion engines, power train control and calibration, combustion, statistical experimental design, nonlinear system identification, spatial statistical models, nonparametric regression, multi-objective optimisation, maximum likelihood, repeated measures and longitudinal analysis. His current research is focusing on the application of the elastic net to training neural-fuzzy models.

Qualifications:

  • M.Eng with accredited industrial training. City University, 1986.
  • PhD – “A model-based calibration methodology for a port fuel injection engine”, 2003, Bradford

Key awards:

  • Fellow of the Royal Statistical Society
  • Visiting Professor in system identification at Oxford-Brookes University
  • 2014 Royal Academy of Engineering Colin Campbell Mitchell Award. This honour “recognises the greatest contribution to the advancement of any field of engineering within the four-year period prior to the award”. Award made for contribution to the advanced engine mapping techniques deployed on the 1.0 litre EcoBoost engine program, which won International Engine of the Year six years in a row 2012-2017.

Outline of main research interests:

  • Neural-Fuzzy models
  • Nonlinear system identification and controls
  • Nonparametric regression
  • Maximum likelihood
  • Repeated measurements
  • Design of experiments
  1. CARY, M., HOSTER, H., ARAGON ZULKE, A., ELGIE, J., Regularised Iterative Generalised Least Squares with Optimal Selection of the hyper-parameter for identifying nonlinear phenomenological models, Accepted for the 2020 PMC, Loughborough University, UK.
  2. LE CORRE. S., et al, CARY, M., LYGOE, R. J., Application of Multi-Objective Optimization Techniques for Improved Emissions and Fuel Economy over Transient Manoeuvres, SAE Paper 2019-011-01177.
  3. FLETCHER, T. P., KALANTZIS, N., CARY, M., LYGOE, R. J., PEZOUVANIS, A., EBRAHIMI, K. M., Automated Model Based Engine Calibration Procedure Using Co-Simulation, Biennial International Conference on Powertrain Modelling and Control (PMC 2018), Loughborough University, Sept. 10-11, 2018.
  4. KALANTZIS, N., FLETCHER, T. P., PEZOUVANIS, A., CARY, M., LYGOE, R. J., EBRAHIMI, K. M., Automated Model Based Engine Calibration Procedure Using Co-Simulation, Biennial International Conference on Powertrain Modelling and Control (PMC 2018), Loughborough University, Sept. 10-11, 2018.
  5. SHAZHAD, A., CARY, M., MASON, B. A., EBRAHIMIA, M. K., Local Model Network Identification using Hierarchical Model Trees and Backward Elimination Structure Optimisation for Engine Characterisation and Controls Development and Deployment, submitted to the 9th IFAC International Symposium on Advances in Automotive Control, June 23-27, 2019, Orléans, France.
  6. GHOMASHI, M., CARY, M., MASON, B. A., EBRAHIMIA, M. K., Hierarchical Approach to Dynamic Torque Modelling for Engine Characterisation, Control and Calibration, submitted to the 9th IFAC International Symposium on Advances in Automotive Control, June 23-27, 2019, Orléans, France.
  7. GHOMASHI, M., CARY, M., MASON, B. A., EBRAHIMIA, M. K., Dynamic Torque Characterisation for Rapid Engine Mapping, PMC2018, 4th Biennial International Conference on Powertrain Modelling and Control, Testing, Mapping and Calibration, Sept 2018.
  8. CARY, M., B. A. MASON, P. SCHAAL, Application of Linearised Hierarchical Models to Indicated Torque Modelling for a Turbocharged Engine, Int. J. Powertrains, Vol. 5, No. 4, 2016.
  9. SOUFLASS, I, B. A. MASON, M. CARY, P. SCHAAL, Mode Transition for Variable Displacement Engines, SAE Paper: 2016-01-0619.

External Collaborators:

  • Ford
  • NXP
  • OBU
  • Caterpillar

External roles and appointments:

  • Organising committee for the 2020 PMC.