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 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 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.
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 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 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.