This thrust focuses on foundational mechanics, computational representations, sensing concepts, and complex dynamical systems that support structural health monitoring, digital twins, and resilient infrastructure systems.
The aim is to develop mathematical, mechanical, and computational tools that help represent structural behaviour in ways that are physically meaningful, interpretable, and useful for monitoring, prognosis, and decision support. This thrust also provides space for exploratory work inspired by bio-inspired sensing and active-matter-like collective dynamics where such ideas can inform sensing, modelling, or infrastructure monitoring.
What We Study#
Mechanics-Aware Representations
Computational approaches for representing structural response, deformation, and behaviour using concepts from mechanics, numerical methods, and approximation theory.
Computational Tools for SHM
Methods that support structural health monitoring by connecting measured response, computational models, and engineering interpretation.
Physics-Guided Modelling
Modelling approaches that use physical principles and engineering knowledge to improve robustness, reliability, and meaning in data-driven infrastructure monitoring.
Emerging Sensing and Dynamical Systems Concepts
Exploratory ideas inspired by mechanics, structural dynamics, bio-inspired sensing, and collective dynamical systems for future infrastructure monitoring applications.
Methods and Tools#
Research in this thrust may involve solid mechanics, structural dynamics, finite element methods, numerical methods, approximation theory, scientific computing, sensing concepts, and machine learning.
The emphasis is on foundational ideas that can support more reliable sensing, monitoring, diagnosis, prognosis, and digital twin development for civil infrastructure systems.
This thrust also provides space for exploratory work at the interface of mechanics, sensing, computation, and complex dynamical systems, including faint connections to bio-inspired and active-matter-inspired thinking where relevant.
Student Background#
Students interested in this thrust may benefit from background in solid mechanics, structural dynamics, finite element methods, numerical methods, scientific computing, sensing, or machine learning.
It is not necessary to have expertise in all areas. Specific topics are shaped based on the student’s background, interests, and expected time commitment.
Interested Students#
Students interested in mechanics-aware modelling, computational methods, physics-guided sensing, or exploratory sensing concepts for infrastructure monitoring are encouraged to read the broader Research page and contact me through the Join the Group page.
Specific project topics are discussed individually after understanding the student’s background, interests, and available research opportunities.