Academic Staff
My research focuses on three Engineering overarching grand-challenges:
(i) Design under uncertainty and nonlinearity;
(ii) Monitoring and modelling complex systems for remaining useful life assessment under uncertainty, nonlinearity and sparse noisy data;
(iii) Development of explainable and interpretable machine learning strategies for engineering applications.
My research focuses on fundamental studies aimed at predicting, understanding, measuring, exploiting and controlling vibration in nonlinear complex structures across a wide range of contexts; integrates theory, numerical modelling, data-driven methods, and experimental testing to develop predictive tools and physical insight for structurally complex and challenging systems...
My research theme is Energy, Transport and Urban infrastructure including sustainable road freight, ultra-low-emission electric buses, heavy goods vehicles development and driver-vehicle dynamic interaction...
My research interests lie broadly within the field of Structural Dynamics. Works include computationally efficient models for the analysis of wave propagation and soil-structure interaction, urban-scale modelling within the EU project, dynamic measurements for detecting scour around bridge piers...
My research interests lie in sustainable road freight, vehicle dynamics consortium, heavy vehicle 'weigh-in-motion' technology, damage to road surfaces and bridges...
My research interests include Stratospheric Particle Injection for Climate Engineering, Vibration of turbocharger wheels – mistuning, Sustainable Energy - wind and wave power
Research Staff and Visitors/Collaborators
My research interests are
(i) Active noise reduction and audio reproduction in wearables
(ii) Active noise reduction in systems with nonlinear dynamics (automobiles)
(iii) Audio reproduction in rooms
Elastodynamics/Structural Dynamics
Vibration, dynamics, nonlinearity, control, acoustics, physics-informed machine learning.
Sustainable road logistics
Vehicle dynamics and control
Electric vehicles
Autonomous vehicles
Transportation and traffic flow
Energy systems
Developing a Physics-Informed Machine Learning framework for design optimisation of Locally Resonant Metamaterials under uncertainties.
