Research Interests

At present I am a Research Associate within the High Integrity Systems Engineering Group (HISE) of the Department of Computer Science at the University of York. My current work involves research into Dynamic Risk Assessment for distributed systems.

I studied for a PhD in the Department of Electronics where I was supervised by Tim Clarke. My PhD was based around a widely diverse set of research topics that has multiple different strands which can be broadly classified as:

My primary PhD research interests fell broadly into two fields; System Identification within the Control domain and Artificial Immune Systems. My work is based around identifying faults in large distributed control systems, in order to do this I am using concepts from the Immune System to find inspiration for new algorithms. I studied the Alternative Pathway of Complement in order to develop robust social networks that are capable of locating errors occuring during their operation. I completed my thesis in 2009, which was titled "On Immune Inspired Social Monitoring".

Publications

  1. Observer/Kalman Filter Identification with Wavelets. Jonathan M. Aitken and Tim Clarke. IEEE Transactions
    on Signal Processing, 2012. To appear, Pre-print available
  2. Automated Heap Sizing in the Poly/ML Runtime. David R. White, Jeremy Singer, Jonathan M. Aitken
    and David Matthews. Trends in Functional Programming, 2012. To appear
  3. A Risk Modelling Approach for a Communicating System of Systems. Jonathan M. Aitken, Rob Alexander
    and Tim Kelly. Proceedings of 5th IEEE International Systems Conference. Montreal, Quebec, Canada (2011). Online
  4. A Case for Dynamic Risk Assessment in NEC Systems of Systems. Jonathan M. Aitken, Rob Alexander
    and Tim Kelly. Proceedings of 5th IEEE International Conference on Systems of Systems Engineering
    (SoSE). Loughborough, United Kingdom (2010). Online
  5. The Pathways of Complement. Jonathan M. Aitken, Tim Clarke and Jon Timmis. Proceedings of the 7th International
    Conference on Artificial Immune Systems (ICARIS). p364-375. Phuket, Thailand (2008) Online
  6. Using Data Confluences in a Distributed Network with Social Monitoring to Identify Fault Conditions.
    Jonathan M. Aitken and Tim Clarke. Proceedings of 11th IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA). p703-710. Prague, Czech Republic (2006). Online

Contact Details 

Dr Jonathan Aitken
Department of Computer Science
University of York
Deramore Lane, Heslington, York. YO10 5GH
Tel +44 (0) 1904 325464
Email: jonathan.aitken@cs.york.ac.uk
A Photo of Me