Richard Cant

Lecturer/Senior Lecturer

School of Science & Technology

Staff Group(s)
Computing and Technology


Dr Cant is a Senior Lecturer in Computing, Course Leader of MSc / Postgraduate Diploma Computer Games Systems and MSc / Postgraduate Diploma Real-Time Computing Applications and Module Leader of Graphics for Games and Dynamics Modelling and 3D Games Algorithms.

Research areas

Dr Cant is a member of the Computational Intelligence and Applications Research Group (CIA) and the Intelligent Simulation, Modelling and Networking Research Group (ISMN).

Areas of research interest include:

  • Intelligent simulation and modelling
  • Computer graphics
  • Artificial intelligence
  • Software engineering
  • Integrated hardware / software design
  • Physical simulation

Current and previous projects supervised include:

  • Mr Ayodeji Remi-Omosowon, Applying Computational Intelligence to NP-Complete Optimisation Problems in a Warehouse Environment.

Opportunities to carry out postgraduate research towards an MPhil / Phd exist and further information may be obtained from the NTU Graduate School.

External activity

  • Joint Conference Chair UKSim, (2008)
  • Membership Secretary UKSim
  • Member of the International Program Committee for EUROSIM, (2007)
  • Member of the Program Committee of UKSIM 99, UKSIM 2001, UKSIM 2003, UKSIM 2004, UKSIM2005 and UKSIM2006
  • Member of the International Program Committee of the European Simulation Symposium, (1998)

Sponsors and collaborators

Previous projects

  • Creating disordered virtual environments, in collaboration with CS Langensiepen
  • Development of a new method of depth of field rendering, research student Daniel Rhodes
  • Development of image inpainting techniques. This work was an extension of the national prize winning project of J Keen
  • Development of neural network and genetic algorithm methods for computer go, research student Julian Churchill (PhD 2006)
  • Development of new algorithms for filtering of texture maps, research students Paul Shrubsole (PhD 2000), Daniel Rhodes
  • Development of methods of assessing rendering quality using neural networks, research student Adrian Cook (PhD 1999)


A simple method for realistic extreme depth of field in real time. Langensiepen C and Cant RJ, International Journal of Simulation, Systems, Science & Technology, 2013, 14 (1), 59-64

Fourier texture filtering. Cant RJ, Langensiepen C, Rhodes D, 2013, 2013 UKSim 15th International Conference on Computer Modelling and Simulation, 123

Fictional simulation, automatic extraction of key scenes from novels. Cant RJ, Langensiepen C, Purcell J, UKSim 13th International Conference on Modelling and Simulation, 2011, 99-103

Entropy measurement within graphical scenes. Cant RJ and Langensiepen C, 12th International Conference on Computer Modelling and Simulation, 2010, 478-481

Methods for automated project placement in virtual scenes. Cant RJ and Langensiepen C, 11th International Conference on Computer Modelling and Simulation, 2009, 431-436

A composite convex hull collision detector for the open dynamics engine. Cant RJ, Langensiepen C, Foster L, 10th International Conference on Computer Modelling and Simulation, 2008, 122-125

Another fine mess: how to generate disorder: to order. Cant RJ, Langensiepen C and Haskard M, SIGGRAPH, 2006, 121

Efficient anti-aliased bump mapping. Cant RJ and Langensiepen CS, Computers and Graphics, 2006, 30, 561-580

A hybrid artificial intelligence approach with application to games. Churchill JR, Cant RJ, Al-Dabass D, World Congress on Computational Intelligence (WCCI), IEEE Int Joint Conf on Neural Networks (IJCNN02), 12-17 May 2002, Honolulu, Hawaii,1575-80, ISBN 0-7803-7278-6, and ISBN 0-7803-7281-6 (CD-Rom)

See all of Richard Cant's publications...