Dr Mark Dixon, Course Director

Dr Mark Dixon

Course Director

Dr Mark Dixon achieved a BSc in Computing (1994) followed by a PhD in Computer Science (1997). His employment history includes working as a software engineer for Dabs Press (now Dabs.com); an embedded software engineer at Taylor Nelson Sofres (TNS - London); a real-time systems software engineer at Live Devices (York); and as a consultant in software engineering and model based development. Mark is responsible for delivery of several postgraduate computing courses; he also undertakes PhD supervision and various research activities.

While working at Leeds Beckett University Mark developed a CASE tool to be used for teaching across all levels of the computing related courses. This software is also used in many other universities and colleges around the world.

Mark has almost 30 years of experience in software development across a range of architectures and platforms, including the 6502, 68000, ARM, and dsPIC processors. He has also built commercial software using Assembly language, C, C++, Java and Objective C. Mark also has a vast amount of experience in software modelling, mainly using the Unified Modelling Language and is currently working on a new development language and platform.

Current Teaching

Mark currently teaches on the undergraduate and post-graduate Computing related courses. Modules delivered include:

  • Software Development
  • Software Engineering
  • Advanced Software Engineering (Masters)
  • Software and Systems (Masters)

Research Interests

Current research interests include software engineering, model based development and embedded systems development.

Mark has gained funding to work on two Knowledge Transfer Partnerships (KTPs), with organisations based in Newcastle and Leeds.

Other research also involves working with the NHS Trust to produce a mobile application that can be used with patients in therapy. This impacts both the ability of clinicians to better support their patients, while also allowing patients to record and monitor their own progress on a more regular basis.

Dr Mark Dixon, Course Director

Selected Outputs

  • Dixon MB (2012) A Graphical Approach to the Development of Deployment Agnostic Systems.

  • Dixon SJ; Dixon MB; Elliott J; Guest E; Mullier DJ (2011) DScentTrail: A new way of viewing deception.

  • Dixon SJ; Dixon MB; Elliott J; Guest E; Mullier DJ (2011) A neural network for counter-terrorism.

  • Sharpe S; Dixon MB; Harrison G (2010) A MAD approach to Java Concepts.

  • Asif N; Dixon MB; Finlay J; Coxhead JF (2002) Recover the Design Artifacts.

  • Mullier DJ; Dixon MB (2000) Authoring Educational Hypermedia Using a Semantic Network.

  • Dixon MB; Coxhead JF; Dodman EA (1999) Meta-Modelling Requirements for the Support of Automated Quality Assessment within CASE Tools.

  • Dixon MB; Coxhead JF; Dodman EA (1996) The Automatic Assessment & Teaching of Software Development Work.

  • Dixon MB; Coxhead J F; Dodman EA (1996) Meta-CASE and Audit : Automated Generic Quality Assessment.

  • Dixon MB; Coxhead JF; Dodman EA (1995) The Enhancement of CASE to Improve Software Quality.

  • Dixon MB; Coxhead JF; Dodman EA (1994) Computer Based Evaluation : Myths, Methods and Morality.

  • Dixon S; Guest E; Dixon MB; Elliot J; Mullier D (2011) DScent Final Report [Online]. Leeds Metropolitan University.

  • Dixon MB (1997) An automated approach to the measurement and evaluation of software quality during Development. [PhD Thesis]. Leeds Metropolitan University.

  • Akerele O; Ramachandran M; Dixon MB (2013) Testing in the Cloud: Strategies, Risks and Benefits. In: Mahmood Z; Saeed S ed. Software Engineering Frameworks for the Cloud Computing Paradigm. London: Springer, pp. 165-188.