Dr Jan Feyereisl

 

 Feyereisl
role Role: Research Fellow
qualifications Qualifications: BSc, PhD
office Office: n/a
telephone Telephone: n/a
email Email: n/a
homepage Homepage: http://ima.ac.uk/feyereisl

Research Interests

  • Information Security
  • Bio-/Immune/Neural-Inspired Computing
  • Machine Learning
  • Statistical Learning Theory
  • Neuroscience

My research was supported by the BIOPTRAIN FP6 Marie-Curie EST Short-Term Fellowship.

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Teaching & Supervision

My PhD supervisor is Uwe Aickelin

  • G53SEC 2007/2008 - Computer Security - course website
  • Aaron Cottrell - Signal Selection for Anomaly Detection using Self-Organizing Networks, 2008

Esteem

  • Program Committee, International Conference on Intelligent Data Engineering and Automated Learning (IDEAL '11)
  • Program Committee, International Conference on Intelligent Data Engineering and Automated Learning (IDEAL '10)
  • Local Chair, The 18th New Security Paradigms Workshop (NSPW '09)
  • Program Committee, The 17th New Security Paradigms Workshop (NSPW '08)
  • Reviewer, Evolutionary Intelligence, Neural Computing and Applications
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Journal Papers
Author(s) Title Publisher Page Year
Jan Feyereisl, Uwe Aickelin Privileged Information for Data Clustering Information Sciences tbc tbc 2011
Julie Greensmith, Jan Feyereisl, Uwe Aickelin The DCA:SOMe Comparison A comparative study between two biologically-inspired algorithms Evolutionary Intelligence 1 (2) 85-112 2008

Conference Papers
Author(s) Title Publisher Page Year
Feng Gu, Jan Feyereisl, Robert Oates, Jenna Reps, Julie Greensmith, Uwe Aickelin Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm Proceedings of the 10th International Conference on Artificial Immune Systems (ICARIS 2011), LNCS Volume 6825, Cambridge, UK 173-186 2011
Jenna Reps, Jan Feyereisl, Jonathan M. Garibaldi, Uwe Aickelin, Jack E. Gibson, Richard B. Hubbard Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database UKCI 2011, the 11th Annual Workshop on Computational Intelligence, Manchester 167-173 2011
Jan Feyereisl Cluster Interpretation of the Self-Organising Map The 23rd European Conference on Operational Research, Bonn, Germany 2009
Jan Feyereisl, Uwe Aickelin STORM - A Novel Information Fusion and Cluster Interpretation Technique Proceedings of the 10th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 09), Lecture Notes in Computer Science 5788, Burgos, Spain 208-218 2009
Jan Feyereisl, Uwe Aickelin ToLeRating UR-STD Proceedings of the 2nd International Conference on Emerging Security Information, Systems and Technologies, Cap Esterel, France 287-293 2008
Anil Somayaji, Michael Locasto, Jan Feyereisl Panel on the future of Biologically-Inspired Security: Is There Anything Left to Learn? Proceedings of the New Security Paradigms Workshop, New Hampshire, USA 49-54 2007
William Wilson, Jan Feyereisl, Uwe Aickelin Detecting Motifs in System Call Sequences Proceedings of the 8th International Workshop on Information Security Applications (WISA2007), Lecture Notes in Computer Science, Jeju, Korea 157-172 2007
Jan Feyereisl, Uwe Aickelin Artificial Immune Tissue using Self-Organizing Networks Proceedings of the Workshop on Artificial Immune Systems and Immune System Modelling (AISB06), Bristol, UK 5-6 2006
Mark Neal, Jan Feyereisl, Rosario Rascuna, Xiaolei Wang Dont touch me: Robot Autonomy Using an Artificial Innate Immune Proceedings of the 5th International Conference on Artificial Immune Systems (ICARIS2006), Lecture Notes in Computer Science 4163 349-361 2006

Book Chapters
Author(s) Title Publisher Page Year
Jan Feyereisl, Uwe Aickelin Self-Organizing Maps in Computer Security Computer Security: Intrusion, Detection and Prevention 1-30 2009

Research Reports
Author(s) Title Publisher Page Year
Jan Feyereisl On the Importance and Incorporation of Additional Knowledge in Cluster Analysis PhD Thesis, School of Computer Science, University of Nottingham 2010

 

 

Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK.