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Mike O'Neill

Academic

University College Dublin

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Prof Michael O'Neill is Full Professor of Business Analytics in the UCD School of Business, and a founding Director of the UCD Natural Computing Research & Applications Group. He is currently Subject Area Head of Management Information Systems in the UCD College of Business, and has previously served in a number of senior leadership roles including Associate Dean - Director of the UCD Michael Smurfit Graduate Business School, Vice-Principal UCD College of Business (Research, Innovation & Impact), and Director of UCD's Institute for interdisciplinary research, the UCD Complex & Adaptive Systems Laboratory (CASL).

One of the inventors of Grammatical Evolution, he is the lead author of the seminal book on this subject, and is independently ranked as one of the all time top 5 researchers in Genetic Programming. In 2019 his team won the HUMIES Gold Award for Human-competitive Artificial Intelligence on Cellular Networks presented at the ACM GECCO 2019 conference in Prague. This follows his team winning the HUMIES Bronze Award for Innovative Truss Design presented at the ACM GECCO 2017 conference in Berlin.

Publications

2017

Pastorek L, O'Neill M. 2017. Historical Markings in Neuroevolution of Augmenting Topologies Revisited. Theory and Practice of Natural Computing: 6th International Conference, TPNC 2017, Prague, Czech Republic, December 18-20, 2017, Proceedings.

Fagan D, O'Neill M. 2017. Exploring Target Change Related Fitness Reduction in the Moving Point Dynamic Environment. Theory and Practice of Natural Computing.

Forstenlechner S, Fagan D, Nicolau M, O'Neill M. 2017. Semantics-based Crossover for Program Synthesis in Genetic Programming.

Cody-Kenny B, Fenton M, Ronayne A, Considine E, McGuire T, O'Neill M. 2017. A Search for Improved Performance in Regular Expressions. Proceedings of the Genetic and Evolutionary Computation Conference.

Fenton M, McDermott J, Fagan D, Forstenlechner S, Hemberg E, O'Neill M. 2017. PonyGE2: Grammatical Evolution in Python. Proceedings of the Genetic and Evolutionary Computation Conference Companion.

Borlikova G, O'Neill M, Smith L, Phillips M. 2017. Development of a multi-model system to accommodate unknown misclassification costs in prediction of patient recruitment in multicentre clinical trials.

Lynch D, Fenton M, Kucera S, Claussen H, O'Neill M. 2017. Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customised Genetic Algorithm.

Fagan D., Fenton M., Lynch D., Kucera S., Claussen H., O'Neill M. 2017. Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment. 2017 International Joint Conference on Neural Networks (IJCNN).

Loughran R, O'Neill M. 2017. Clustering Agents for the Evolution of Autonomous Musical Fitness. Computational Intelligence in Music, Sound, Art and Design.

Forstenlechner S, Fagan D, Nicolau M, O'Neill M. 2017. A Grammar Design Pattern for Arbitrary Program Synthesis Problems in Genetic Programming. Genetic Programming.