I am now a Research Assistant at the Univeristy of Bristol and based at BT's research lab at Adastral Park, Ipswich.
My PhD started in October 2009 under a Doctoral Training Account grant from EPSRC. My supervisors are Dr Mario Gongora, Professor Adrian Hopgood and Dr Samad Ahmadi from the Centre for Computational Inteligence (CCI).
My thesis focuses on the aplpication of Computational Intelligence in Data Mining. More specifically, it investigates the challenges of mining fuzzy association rules that exhibit temporal patterns.
I am a member of IEEE. My essay entitled "What it means to be a young CI researcher in the 21st century" has won the IEEE CIS competition and is now available to read in IEEE Computational Intelligence Magazine. I also won 2nd prize at the IEEE CIS elevator pitch competition held during IEEE WCCI 2012. I am vice-chair of the IEEE CIS GOLD subcommittee, student representative of IEEE CIS UKRI and I was the founding chair of the DMU IEEE Student Branch.
|Coupland, S. and (2013) Using Nonstationary Fuzzy Sets to Improve the Tractability of Fuzzy Association Rules. In: Proceedings of The 2013 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ 2013), Singapore, June 2013 (accepted for publication).|
|Gongora, M. A., Hopgood, A. A. and Ahmadi, S. (2012) Temporal Fuzzy Association Rule Mining with 2-tuple Linguistic Representation. In: Proceedings of The 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), Brisbane, June 2012. Piscataway, NJ: IEEE, pp. 1-8.and||doi||bib|
|Carter, J., and Coupland, S. (2011) Teaching Robotics at the Postgraduate Level: Assessment and Feedback for On Site and Distance Learning. In: Proceedings of The 2nd International Robotics in Education Conference (RIE 2011), Vienna, September 2011. Vienna: INNOC - Austrian Society for Innovative Computer Sciences, pp. 171-176.||www||bib|
|Gongora, M. A. and Hopgood, A. A. (2011) Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm. In: Hybrid Artificial Intelligent Systems (Proceedings of HAIS 2011), Wroclaw, May 2011. Berlin / Heidelberg: Springer, pp. 198-205.,||doi||bib|
|Gongora, M. A. and Hopgood, A. A. (2011) Evolving Temporal Fuzzy Itemsets from Quantitative Data with a Multi-Objective Evolutionary Algorithm. In: The IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2011), Paris, April 2011. Piscataway, NJ: IEEE, pp. 9-16.,||doi||bib|
|winning paper of the IEEE CIS competition)(2011) What it means to be a young CI researcher in the 21st century. IEEE Computational Intelligence Magazine, 6 (3), pp. 6-7. (||doi||bib|
|Gongora, M. A. and Hopgood, A. A. (2010) Evolving Temporal Association Rules with Genetic Algorithms. In: Research and Development in Intelligent Systems XXVII (Proceedings of AI-2010), Cambridge, December 2010. London: Springer, Part 3, pp. 107-120.,||doi||bib|
|Coupland, S. and Zhou, S.-M. (2008) An Integrated Stereo Vision and Fuzzy Logic Controller for Following Vehicles in an Unstructured Environment. In: Proceedings of the 2008 UK Workshop on Computational Intelligence (UKCI 2008), Leicester, September 2008. Leicester: De Montfort University, pp. 135-140.,||www||bib|
|Elizondo, D. A. and (2008) Recent Patents on Computational Intelligence. Recent Patents on Computer Science, 1 (2), pp. 110-117.||doi||bib|
- IMAT5121 Mobile Robots (postgraduate laboratories; 2010, 2011)
- IMAT5165 Mathematical Modelling and Artificial Intelligence (postgraduate laboratories; 2010)
- CSCI1412/CTEC1414 Computer Technology (undergraduate laboratories; 2009, 2011)
- CSCI2405 Introduction to AI & Robotics (undergraduate lectures; 2009)
- C++ and Robotics induction for M.Sc. Computer Games Programming, and M.Sc. Intelligent Systems and Robotics (2010, 2011, 2012)
- Java (2012) and Linux (2011 2012) induction for MSc Infomration Systems Management, MSc Computing, and Information Technology (2011, 2012).