Soobum Lee

University of Maryland, Baltimore County

Papers

Total Citations

H-Index

About

Soobum Lee is a leading researcher in Prognostics and Health Management (PHM) and robotics reliability, with a focus on ensuring the longevity and safety of critical industrial systems. His work centers on developing advanced diagnostic and prognostic frameworks for robotic components operating under variable and challenging conditions. In his highly cited 2023 study, Lee pioneered a methodology for monitoring the health of robotic servo-motors, specifically targeting bearing failures—a common vulnerability in continuous-use manufacturing environments. By integrating sensor data with predictive algorithms, his research enables early fault detection, reducing costly downtime and preventing catastrophic system failures. With his most-cited paper accumulating 27 citations in a short period, Lee’s contributions are gaining rapid recognition for their practical impact on industrial automation. His work not only advances the field of PHM but also provides actionable insights for engineers seeking to enhance the reliability and efficiency of robotic systems in real-world applications.