Research Interest and Impact

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Dr. Galvan is an expert in the properties of encodings, such as neutrality and locality, in Genetic Programming as well as a pioneer in the study of Semantic- based Genetic Programming. His research interests also include applications to combinatorial optimisation, neural networks, neuroevolution, games and software engineering.


Dr. Edgar Galvan has independently ranked as one of the all-time top 1% researchers in Genetic Programming, according to University College London.


Bio


International research experience in four different countries, living 2+ years in each

  • 2021-Current: AI and Machine Learning Cluster Leader - Maynooth University Innovation Value Institute
  • 2020-Current: Principal Investigator - Science Foundation Ireland LERO
  • 2019-Current: Machine Learning Cluster Leader and Co-director - Maynooth University Naturally Inspired Computation Research Group
  • 2017-Current: Senior Researcher - Maynooth University Computer Science Department
  • 2014-2017: Marie Curie Scholar - Trinity College Dublin (incoming phase), INRIA Paris (outgoing phase)
  • 2011-2014: Research Fellow - Trinity College Dublin Computer Science Department
  • 2011-2011: Visting Researcher - University of Essex Computer Science Department
  • 2009-2011: Postdoctoral Researcher - University College Dublin, Complex and Adaptive System Laboratory
  • 2005-2009: PhD Researcher - University of Essex Computer Science Department
  • 1999-2001: MSc by Research (1st Class Honours) - University of Veracruz Artificial Intelligence Centre
  • 1995-1999: BSc in Informatics/CS (1st Class Honours) - University of Veracruz Computer Science Department

Recent News

Grants & Bursary

I have authored/co-autored a number of successful funding applications with a total value over 1M EURO.

Contact Information

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Dr. Edgar Galvan

Department of Computer Science, National University of Ireland, Maynooth

Eolas Office 109

Telephone number: +353 (1) 4747154

edgar.galvan@nuim.ie

Last updated: February 2022

Edgar's CV