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Conor Ryan

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University of Limerick

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TEL: +353-(0)61-202755

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Professor Conor Ryan is Professor of Machine Learning at the University of Limerick. He was awarded his PhD in Genetic Programming, a style of Machine Learning, in 1996, and was the inventor, along with two of his PhD students, of Grammatical Evolution, in 1998. Grammatical Evolution is the most commonly used non-patented Evolutionary Automatic Programming system in the world, and has spawned thousands of publications since its inception. Conor was a Fulbright Scholar at the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory (CSAIL) in 2013-2014. He holds several granted patents in the use of Machine Learning to extend the life and reliability of Flash Memory and Solid State Disks (SSDs), and was the co-founder of two companies, Evolvability and NVMdurance, both of which are located in Limerick. Conor’s research group, the Biocomputing and Developmental Systems (BDS) group, within Lero conducts research into areas such as Machine Learning, Evolutionary Computation and the application of these techniques to large scale problems, such as mammography.

  • Publications
2024
Majeed B, McEllin J, Sarma R, Youssef A, Dias D, Ryan C.  2024.  Grammatical Evolution of Synthesizable Finite State Machine-Based Behavioural Level Hardware Description Language Codes. Proceedings of the 16th International Joint Conference on Computational Intelligence - ECTA.
2020
Raja MAdil, Murphy A, Ryan C.  2020.  GELAB and Hybrid Optimization Using Grammatical Evolution. Intelligent Data Engineering and Automated Learning – IDEAL 2020.
Cunneen M, Mullins M, Murphy F, Shannon D, Furxhi I, Ryan C.  2020.  Autonomous Vehicles and Avoiding the Trolley (Dilemma): Vehicle Perception, Classification, and the Challenges of Framing Decision Ethics. Cybernetics and Systems. 51:59-80.
Rahman R.A, Raja M.A, Ryan C.  2020.  The Impact of Human Development on Economic Growth: A Panel Data Approach. Available at SSRN.
Murphy A., Ryan C.  2020.  Improving Module Identification and Use in Grammatical Evolution. 2020 IEEE Congress on Evolutionary Computation (CEC).
Ryan C, Kshirsagar M, Chaudhari P, Jachak R.  2020.  GETS: Grammatical Evolution based Optimization of Smoothing Parameters in Univariate Time Series Forecasting.
Anjum MSheraz, Ryan C.  2020.  Scalability Analysis of Grammatical Evolution Based Test Data Generation. Proceedings of the 2020 Genetic and Evolutionary Computation Conference.
Anjum M, Ryan C.  2020.  Seeding Grammars in Grammatical Evolution to Improve Search Based Software Testing. :18-34.
2019
Ali N, Bonyadi Mreza, Raja MAdil, Akhtar J, Javed N, Ryan C.  2019.  FUSCD - Future Smart Car Driver. 22nd International Multitopic Conference (INMIC).
Anjum MSheraz, Ryan C.  2019.  Ariadne: Evolving Test Data Using Grammatical Evolution. Genetic Programming - 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019.

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