Fateme Dinmohammadi

University of West London, Heriot-Watt University

Papers

Total Citations

140

H-Index

About

Fateme Dinmohammadi is a leading researcher at the intersection of artificial intelligence, robotics, and engineering asset management. Her primary research areas include prognostics and health management (PHM) of engineering systems, autonomous robotic inspection, and the certification of safe, trusted human-robot collaboration. Dinmohammadi’s most influential contribution is her comprehensive 2021 review on artificial intelligence in PHM, which has garnered 131 citations and serves as a foundational resource for integrating machine learning into predictive maintenance and system reliability. She has also advanced the field of robotic inspection, notably through her 2018 work on certifying safe and trusted robotic inspection of offshore assets, where she explored how future robots will not only collect data but also interact with infrastructure, perform remedial tasks, and engage with embedded monitoring systems. This forward-looking research addresses critical challenges in deploying autonomous systems in hazardous environments. Dinmohammadi’s work bridges AI, robotics, and industrial safety, making her a key voice in developing trustworthy, intelligent systems for critical infrastructure.