Area of research
Computer Networks and Communications · Control and Systems Engineering
Research interest
Research focused on Prognostics and Predictive maintenance, with related work in Control theory (sociology), Degradation (telecommunications), Iterative learning control. Notable publications include 'A Lithium-Ion Battery Degradation Prediction Model With Uncertainty Quantification for Its Predictive Maintenance', 'Dynamic Predictive Maintenance Scheduling Using Deep Learning Ensemble for System Health Prognostics', and 'Data-driven predictive maintenance strategy considering the uncertainty in remaining useful life prediction'.
A Lithium-Ion Battery Degradation Prediction Model With Uncertainty Quantification for Its Predictive Maintenance
An Interpretable Nonlinear Decoupling and Calibration Approach to Wheel Force Transducers
Data-driven predictive maintenance strategy considering the uncertainty in remaining useful life prediction
Dynamic Predictive Maintenance Scheduling Using Deep Learning Ensemble for System Health Prognostics
Iterative Learning Control for Time-Varying Systems Subject to Variable Pass Lengths: Application to Robot Manipulators