معرفی
Dr. Xihui (Larry) Liang is an Associate Professor in the Department of Mechanical Engineering at the University of Manitoba, Canada. He holds a PhD in Mechanical Engineering from the University of Alberta (2016) and completed a postdoctoral fellowship there. His research focuses on condition monitoring, predictive maintenance, robotics, and reliability engineering, with applications in machinery and infrastructure systems. He is a recipient of the Terry G. Falconer Memorial Award for his work in developing intelligent monitoring systems.
Education:
- PhD in Mechanical Engineering, University of Alberta, 2016
Research Interests:
Dr. Liang's work spans advanced condition monitoring techniques for mechanical systems, robotics and control for manufacturing, and reliability modeling. Key areas include:
- Embedded systems and smart sensors for structural health monitoring
- Machine learning for fault diagnosis and RUL prediction
- Maintenance optimization strategies for wind turbines and gas engines
- Smart bearing design with self-sensing capabilities
Recent Work Trends: His publications emphasize innovative sensor technologies (e.g., FBG and PVDF transducers) and machine learning approaches for predictive analytics. Recent studies address challenges in non-stationary signal processing and cross-domain fault detection.
Awards:
- Terry G. Falconer Memorial Rh Institute Foundation Emerging Researcher Award (2024)
Advising & Labs:
Dr. Liang mentors graduate students in embedded systems, robotics, and reliability engineering. His lab develops advanced monitoring tools for industrial applications, including smart bearings and additive manufacturing quality control.
