Michael G. Madden
International House, Ollscoil na Gaillimhe – University of Galway
Papers
3
Total Citations
30
H-Index
3
About
Michael G. Madden is a leading researcher in artificial intelligence, focusing on fault diagnosis, multi-robot systems, and decision support for critical incident investigation. His early work introduced DE/IFT, a novel fault diagnosis engine that uses fault tree induction to monitor and diagnose multiple incipient faults from sensor data, a contribution that has garnered 20 citations and remains foundational in industrial AI. More recently, Madden has pioneered the use of autonomous aerial vehicles and AI-driven analytics to support the investigation of high-consequence CBRNE incidents. His 2018 and 2019 papers describe virtual environments that integrate multi-robot navigation, surveying, and decision support tools to reduce cognitive load on investigators. These works, each with 5 citations, demonstrate his commitment to applying AI to real-world safety and security challenges. Madden’s research bridges theoretical advances in machine learning with practical, life-saving applications, making him a key figure in the development of intelligent systems for crisis response. His work continues to inspire students and researchers interested in AI for critical infrastructure protection and autonomous systems.
Research Focus
Key Achievements
Top Papers
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