Diarmuid P. O'Donoghue, BSc, PGDHE, MSc, PhD,
Eolas Building - Room 122 (1st Floor)
Department of Computer Science,
E-Mail: diarmuidd.oodonoghue @enuimy.tie
Phone: (+353) 1 708 3851
Background I am a lecturer in computer science, a member of ACM's SIGEVO, the AAAI and the Internet Society (ISOC). I am a member of the Cognitive Science Research Group focused on Naturally Inspired Computing. My specific areas of interest are 1) Analogical reasoning, computational modelling, computational creativity and conceptual blending. 2) Evolutionary Algorithms focusing on ancestral (Extra-Mendelian) techniques for optimisation and constraint handling. I am also interested in science, education and cognitively inspired approaches to creativity. Here is some other personal stuff.I have participated in 10 PhD award committees, graduated around 23 Masters level students (9 of which were co-supervised) and supervised over 65 final-year undergraduate projects. I was a Learning Outcomes Fellow 2009-'10.
Recent Funding Sources: FP7, Erasmus Mundus, IRCSET, Siti Khadijah is on a Malaysian government PhD scholarship.
My research is focused on developing and applying cognitive models of analogical reasoning (AR), using them to solve complex problems in areas like; finding creative analogies, software retrieval and reuse, computational creativity, conceptual blending, land-cover maps and other areas. I am particularly interested in the role that AR plays in scientific discovery. See my analogy, and the like page or some other analogy reference pages.
I am senior scientific officer for Dr Inventor: Promoting Scientific Creativity by Utilising Web-based Research Objects (FP7-ICT-2013.8.1) that is exploring analogical comparisons between academic documents and related sources, to promote scientific creativity in its users. The role of NUIM is to generate and use semantic structures representing research objects and to identifying analogical comparisons between them. This is a €2.6Million EU project - see DrInventor.eu. Maynooth meeting Jan 29-30, 2015.
Aris: Analogical Reasoning for the reuse of Implementations and Specifications uses analogical comparisons between source code methods to support the generation of new and useful formal specifications. Aris supports the identification of functionally similar source code. Aris works by identifying analogical comparisons between the code-graphs that represent each method. These code-graphs are derived from the parse tree formed by that method. See Aris details or jump straight to Aris online (using a smaller data set).
Evolutionary Optimisation with Extra-Mendelian Inheritance. We are successfully exploring ancestor-based extensions to various evolutionary algorithms. A "cache" of recent ancestors can are successfully being used to improve the performance of two types of evolutionary algorithm 1) for combinatorial optimisation and 2) for differential evolution. We are evaluating how, when and why such an ancestral strategies might be are most effective. Our original inspiration came from a controversial paper in Nature by Lolle et al (2005) and top of the All Time top 10 rankings of the prestigious Faculty of 1000.
Post Doctoral researchers: Dr. Donny Hurley, Dr. Yalimsew Abgaz.
PhD students: Donagh Hatton, Siti Khadijah.
MSc level: Ekaterina Ageeva (DESEM 2016-'17), Hager Ali, Dmitry Smorodinnikov (DESEM 2015-'16), Rushikesh Sawant (DESEM 2013-'15), Felicia Halim (MSc 2013-'15), Fahrurrozi Rahman (MSc 2013-'15) Felicia & Fahrurrozi invovlve shared supervision with Dr Rosemary Monahan. All are DESEM Erasmus Mundus Double Masters scholarship holders.
Undergraduate research students: (2015-'16) Anya Ball, Gareth Ronan Sheehan, Jeanette Moran, Laura Fitzmaurice; (2014-'15) David Kelly (with JP), Agnieszka Skotarska (with JP), William Clifford, Kevin O'Flynn (with RM), Fiona Gubbins (with AM), Fintan Mc Grath.
Program Committee Member: IEEE World Congress on Computational Intelligence (WCCI), Vancouver, Canada 2016, International Conference on Computational Creativity (ICCC) 2016, Paris France, Dr Inventor workshop at CASA, Switzerland, 2016, SIGGRAPH Anaheim, California, 2016 and AICS 2016 in UCD, Dublin, Sept. 2016.
Undergraduate courses I currently teach (in bold) or have taught:
CS101- Introduction to Programming, CS130- Databases, CS142- Introduction to Computer Science, CS401- Machine Learning and Neural Networks, CS404- Artificial Intelligence and Natural Language Processing, CS355- Artificial Intelligence, CS430 - Advanced Concepts: Computational Creativity, CS335 Software Engineering, Expert Systems, CS120 - End User computing, CS102 - Introduction to Computer Systems, Digital Logic Design.
MSc in Computer Science (Software Engineering) - M. Sc. (Software Engineering) courses I teach :
CS607 Requirements Engineering and Systems Design using UML.