Artificial Intelligence
Exploring AI applications for railway monitoring, predictive analysis, decision support and intelligent maintenance.
AI & MLTechnical interests focused on how emerging technologies can improve railway safety, reliability, capacity and operational efficiency.
Railway technology is moving towards increasingly connected, intelligent and data-driven systems. My technical interests include technologies that can complement established signalling and safety engineering practices.
The focus is on practical engineering value: improved safety, reliability, maintainability, capacity and operational efficiency.
Exploring AI applications for railway monitoring, predictive analysis, decision support and intelligent maintenance.
AI & MLDigital transformation of railway infrastructure, connected systems and data-driven operational processes.
DigitalisationFuture signalling architectures designed to improve safety, capacity, interoperability and system efficiency.
SignallingFuture Railway Mobile Communication System and its potential role in connected railway operations.
Rail CommunicationSatellite-based positioning technologies and their potential applications in railway positioning and monitoring.
PositioningUsing condition data and analytics to identify potential equipment issues before operational failures occur.
ReliabilityUnderstanding cybersecurity challenges emerging from increasingly connected railway control and communication systems.
CybersecurityExploring digital representations of railway assets and systems for monitoring, analysis and lifecycle management.
Digital TwinEmerging technologies become valuable when they can be engineered, tested, validated and deployed with the same discipline expected from safety-critical railway systems.
See selected areas of professional experience in signalling, safety, quality assurance and testing.