ESRs (Early Stage Researchers)
ESR 1: Shankar Galiana
Reliable sensor networks for Structural Health Monitoring (SHM) systems in highly loaded composite structures.
ESR 2: Aravind Balaji
Virtual Laboratory for Modelling and Optimisation of Manufacturing of Composites Structures with embedded SHM systems.
ESR 3: Amond Sarr Allouko
Computing Platform Based on Novel High-Order Numerical Methods for Smart FRP Composite estructures with Embedded AU-SHM sensors.
ESR 4: Tasdeeq Sofi
Novel procedure for designing, manufacturing and assembling smart composite wind turbine blades with embedded AU-SHM sensors.
ESR 5: Morteza Moradi
Prognostic signatures based on data-fusion techniques from Lamb-wave and acoustic emission in real-world FRP laminates subjected to random fatigue damage.
ESR 6: Tianzhi Li
Development of super-fast Bayesian algorithms for real-time prognostics incomposite structures using structural health monitoring.
ESR 7: Javier Contreras
Development of a System—Level Post-Prognostics Reasoner for FRP turbine blades using on-board SHM.
ESR 8: Wen Wu
Modelling risk of failure using guided wave propagation and interaction with damage in complex composite structures.
ESR 9: Juan Fernández
Paradigm-Shift Research for System-Level Real-Time Prognostics of Cyber-Physical Assets using Deep Learning approaches.
ESR 10: Ali Saleh
Development of a prognostics-based self—adaptive Expert System for smart Composite Structures.
