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Prof. Gerard Lyons

Dr. Des Chambers

Dr. Jim Duggan

Sinead Hughes

Dr. Michael Madden

Hugh Melvin

Dr. Owen Molloy

Dr. Finlay Smith

Mourad Bouguerra

Claire Costello

Edward Curry

Bryan Conneely

Sinead Keys

Tom Lyons

Páraic Quinn

Enda Ridge

Catherine O'Dowd

Albert MacSweeny

Noel McKenna

Ted Scully

Brian Shields

Ann Tighe

Yan Xing


People - Dr. Michael Madden

+353 91 512250
email: michael.madden@nuigalway.ie
url: http://www.it.nuigalway.ie/m_madden/

Dr Michael Madden joined the Department of Information Technology, NUI Galway, as a College Lecturer in September 2000. He graduated with a degree in Mechanical Engineering from UCG in 1991, and subsequently worked for four years as a Ph.D. research assistant in the Department of Mechanical Engineering, UCG (1991-1995), during which time he spent 6 months as visiting scholar at the University of California, Berkeley (1993), in the Berkeley Expert Systems Technology lab. Within his Ph.D. work, he discovered a new Machine Learning algorithm for deriving rules from examples, and applied it to monitoring machinery to detect incipient (“soft”) faults in real-time.

He worked in professional Research & Development for 5 years (1995-2000) in MCS International, an internationally trading Irish software company with its headquarters in Galway and subsidiary offices in Aberdeen, Oslo and Houston. He began in MCS as a software engineer and was appointed Research & Development Manager in January 1999. In MCS, he gained wide experience of managing commercial software R&D projects, including Flexcom-3D Version 5, MCS's industry-leading product for design of slender subsea structures.

Over the past 10 years, Michael has participated in 7 EU funded R&D projects, including initiating and co-ordinating the EU Innovation Project MOSCOT (1997-2000), which had participants in 7 organisations across Europe and a budget of €1.2 million over 2.5 years. His main areas of research are Artificial Intelligence and Machine Learning. He is currently supervising postgraduate research into applying machine learning to transport logistics (the V-LAB project), medical diagnosis, and financial analysis.

Research Interests
Artificial Intelligence (A.I.) Theory
Applications of Machine Learning to Classification, Data Mining and Control
New Algorithms for Classification and Data Mining
A.I. embedded in Software Applications

Participant in V-LAB project.


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