Area of research
Civil and Structural Engineering · Statistics, Probability and Uncertainty
Research interest
Research interests include Structural Health Monitoring Techniques, Probabilistic and Robust Engineering Design, Model Reduction and Neural Networks, and Magnetic Properties and Synthesis of Ferrites.
A neural network compression method based on knowledge-distillation and parameter quantization for the bearing fault diagnosis
Reconstruction of nearshore wave fields based on physics-informed neural networks
Physics-informed learning of governing equations from scarce data
Sparse Bayesian learning for structural damage identification
Deep long short-term memory networks for nonlinear structural seismic response prediction