Zhilu Lai
Scholar

Zhilu Lai

Google Scholar ID: LuwuuVQAAAAJ
Assistant Professor, HKUST(GZ), HKUST
Scientific Machine LearningStructural Health MonitoringStructural DynamicsSystem Identification
Citations & Impact
All-time
Citations
983
 
H-index
15
 
i10-index
15
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Research Experience
  • Professional Experience: Current researcher at the Internet of Things Thrust, Information Hub, HKUST(GZ). Research Projects: Aiming to develop the fusion of physical models and sensor data into the modeling, assessment, and diagnostics of engineered systems, providing intelligent solutions for effectuating more resilient, adaptive, and senseable infrastructure systems.
Background
  • Research Interests: Scientific machine learning; Physics-informed machine learning; Deep learning for engineered systems; Computer vision-based infrastructural monitoring; Advanced sensing technologies; IoT applications in civil infrastructure; Structural health monitoring. Brief Introduction: Welcome to the website of the research group led by Dr. Zhilu Lai, affiliated with the Internet of Things Thrust, Information Hub, The Hong Kong University of Science and Technology (Guangzhou).
Miscellany
  • Contact: Office: E1-614; Email: zhilulai@ust.hk