Papers
2
Total Citations
105
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2
About
Jiawan Liu is a leading researcher in human reliability analysis and risk assessment, with a particular focus on the safety and efficacy of robot-assisted rehabilitation systems. Their work bridges engineering, healthcare, and decision science to improve the design and evaluation of medical robotics. Liu’s most-cited paper, “Risk assessment based on FMEA combining DEA and cloud model: A case application in robot-assisted rehabilitation” (2022, 94 citations), introduces a novel hybrid methodology that integrates Failure Mode and Effects Analysis (FMEA) with Data Envelopment Analysis (DEA) and cloud models to address uncertainty in risk evaluation. This contribution has been widely recognized for its practical application in enhancing patient safety during robotic therapy. More recently, Liu extended this work in “Extending a human error identification and assessment method considering the uncertainty information for human reliability analysis of robot-assisted rehabilitation” (2024, 11 citations), advancing human error modeling in complex human-robot interactions. By systematically addressing uncertainty in human performance, Liu’s research provides critical tools for engineers and clinicians, helping to ensure that rehabilitation robots are both effective and safe. Their work is essential reading for anyone interested in the intersection of reliability engineering and healthcare technology.
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