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
2025
Buckley, Jim, Namjoo, Ehsan, O'Connor, Alison N., Ryan, Conor.
2025.
GlassBoost: A Lightweight and Explainable Classification Framework for Tabular Datasets.
Applied Sciences, 15, 6931.
doi: 10.3390/app15126931.
Dias, Douglas Mota, Majeed, Bilal, Ryan, Conor, Sarma, Rajkumar, Youssef, Ayman.
2025.
Automatic Generation of Synthesisable Hardware Description Language Code of Multi-Sequence Detector Using Grammatical Evolution.
Algorithms, 18, 345.
doi: 10.3390/a18060345.
2024
Dias, Douglas, Majeed, Bilal, McEllin, Jack, Ryan, Conor, Sarma, Rajkumar, Yousef, Ayman.
2024.
Grammatical Evolution of Synthesizable Finite State Machine-Based Behavioural Level Hardware Description Language Codes.
doi: 10.5220/0012948300003837.
de Lima, Allan, Dias, Douglas Mota, Murphy, Aidan, Reyes, Darian, Ryan, Conor.
2024.
Feature Encapsulation by Stages Using Grammatical Evolution.
In: Proceedings of the Genetic and Evolutionary Computation Conference Companion.
doi: 10.1145/3638530.3654097.
2023
Carvalho, Samuel, Dias, Douglas Mota, Majeed, Bilal, Murphy, Aidan, Ryan, Conor, Youssef, Ayman.
2023.
Performance Upgrade of Sequence Detector Evolution Using Grammatical Evolution and Lexicase Parent Selection Method.
In: Complex Computational Ecosystems, Springer Nature Switzerland.
Carvalho, S, Dias, D, Majeed, B, McEllin, J, Murphy, A, Ryan, C, Youssef, A.
2023.
Evolving Behavioural Level Sequence Detectors in SystemVerilog Using Grammatical Evolution.
In: 15th International Conference on Agents and Artificial Intelligence (ICAART) 2023.
2022
Ali, Muhammad Sarmad, Amaral, Jorge, Dias, Douglas, Murphy, Aidan, Naredo, Enrique, Ryan, Conor.
2022.
Fuzzy Pattern Tree Evolution Using Grammatical Evolution.
SN Computer Science, 3.
doi: 10.1007/s42979-022-01258-y.
Cunningham, Andrew, Kshirsagar, Meghana, Ryan, Conor, Sivaraman, R., Vaidya, Gauri.
2022.
Design of a cryptographically secure pseudo random number generator with grammatical evolution.
Scientific Reports, 12, 8602.
doi: 10.1038/s41598-022-11613-x.
Kshirsagar, Meghana, Naredo, Enrique, Ryan, Conor, Sarmad Ali.
2022.
Automated Grammar-Based Feature Selection in Symbolic Regression.
In: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery.
doi: 10.1145/3512290.3528852.
2020
Chaudhari, P, Jachak, R, Kshirsagar, M, Ryan, C.
2020.
GEMO: Grammatical Evolution Memory Optimization System.
In: 12th International Joint Conference on Computational Intelligence.
doi: 10.5220/0010106501840191.
Contact Details
University of Limerick