Research interests

  • Artificial Intelligence, Modelling and Simulation
  • Datamining and Machine Learning
  • Decision Support and Optimisation
  • Health Informatics

Personal webpage


Professor Uwe Aickelin is the Head of School of Computing and Information Systems at the University of Melbourne. Prior to this role he was Vice-President at the University of Nottingham Ningbo China and Head of School of Computer Science at the University of Nottingham. He also served for many years as a strategic adviser on Artificial Intelligence to the UK Research Councils and Government.

Professor Aickelin has worked for more than twenty years in the fields of Artificial Intelligence, Optimisation and Datamining. His specific expertise is in the modelling stages of problems with a focus on robust methods to overcome uncertainty. He has authored over 200 papers in leading international journals and conferences (Google citations 9000, H-index 50) and participated in over 100 international conference programme committees. Since 2007 he has been an associate editor of the leading international journal in his field (IEEE Transactions on Evolutionary Computation).

His Computerphile YouTube videos on Datamining have been watched by more than 600,000 people:
Anti-Learning - So bad it’s good
How GCHQ classifies computer security
Machine Learning Methods
Nuggets of Data Gold
The Known Unknowns
Why missing data is the best

Recent publications

  1. Fattah P, Aickelin U, Wagner C. Measuring behavioural change of players in public goods game. Studies in Computational Intelligence. Springer. 2018, Vol. 751. DOI: 10.1007/978-3-319-69266-1_12
  2. Aickelin U, Reps JM, Siebers P-O, Li P. Using simulation to incorporate dynamic criteria into multiple criteria decision-making. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY. Palgrave. 2018, Vol. 69, Issue 7. DOI: 10.1080/01605682.2017.1410010
  3. Dent I, Craig T, Aickelin U, Rodden T. A Method for Evaluating Options for Motif Detection in Electricity Meter Data. Journal of Data Science. 2017.
  4. Fu X, Ch'ng E, Aickelin U, See S. CRNN: A Joint Neural Network for Redundancy Detection. 2017 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP). IEEE. 2017.
  5. Jiang X, Bai R, Landa-Silva D, Aickelin U. Fuzzy C-Means-based Scenario Bundling for Stochastic Service Network Design. 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI). IEEE. 2017.
  6. Fattah P, Aickelin U, Wagner C. Measuring Behavioural Change of Players in Public Goods Game. . Springer. 2017, Vol. tba.
  7. Kabir S, Wagner C, Havens TC, Anderson DT, Aickelin U. Novel Similarity Measure for Interval-Valued Data Based on Overlapping Ratio. 2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE). Institute of Electrical and Electronics Engineers. 2017. DOI: 10.1109/FUZZ-IEEE.2017.8015623
  8. Siuly S, Huang Z, Aickelin U, Zhou R, Wang H, Zhang Y, Klimenko SV. Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017, Vol. 10594 LNCS.
  9. Aickelin U. Robust Datamining. 4th Asia Pacific Conference on Advanced Research (APCAR- MAR 2017), Melbourne, Australia. 2017.
  10. Ruan C, Wang Y, Zhang Y, Ma J, Chen H, Aickelin U, Zhu S, Zhang T. THCluster:Herb Supplements Categorization for Precision Traditional Chinese Medicine. 2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM). IEEE. 2017. Editors: Hu XH, Shyu CR, Bromberg Y, Gao J, Gong Y, Korkin D, Yoo I, Zheng JH.
  11. Aickelin U, Reps JM, Siebers P-O, Li P. Using Simulation to Incorporate Dynamic Criteria into Multiple Criteria Decision Making. Journal of the Operational Research Society. 2017, Vol. tba.
  12. Navarro J, Wagner C, Aickelin U, Green L, Ashford R. Exploring Differences in Interpretation of Words Essential in Medical Expert-Patient Communication. 2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE). IEEE. 2016.
  13. Navarro J, Wagner C, Aickelin U, Green L, Ashford R. Measuring Agreement on Linguistic Expressions in Medical Treatment Scenarios. IEEE Symposium Series on Computational Intelligence (IEEE SSCI). IEEE. 2016.
  14. Fattah P, Aickelin U, Wagner C. Measuring Player’s Behaviour Change over Time in Public Goods Game. SAI Intelligent Systems Conference 2016 London. 2016.
  15. Miller S, Wagner C, Aickelin U, Garibaldi JM. Modelling cyber-security experts' decision making processes using aggregation operators. COMPUTERS & SECURITY. Elsevier Advanced Technology. 2016, Vol. 62. DOI: 10.1016/j.cose.2016.08.001

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile