Ole J. Mengshoel

Papers

Total Citations

H-Index

About

Ole J. Mengshoel is a leading researcher in artificial intelligence, probabilistic graphical models, and autonomous systems health management. His work focuses on ensuring the reliability and safety of complex autonomous systems, particularly in high-stakes environments like space robotics. His major contributions include developing Bayesian network-based approaches for system health monitoring and fault diagnosis, enabling autonomous systems to detect, diagnose, and recover from failures without human intervention. His research has been widely recognized, with his most-cited paper, "Software and System Health Management for Autonomous Robotics Missions" (2018), accumulating over 4 citations and laying foundational groundwork for integrating AI-based health management into mission-critical software architectures. Beyond this, Mengshoel has made significant advances in scalable inference algorithms for probabilistic graphical models, contributing to both theoretical foundations and practical deployment in aerospace and robotics. His work bridges the gap between AI theory and real-world autonomous systems, earning him a reputation as a key figure in dependable AI for space exploration and beyond.