01
Structural and ensemble dynamics
Ensemble damping, phase decoherence, stochastic Green functions, random spectra and damped localisation.
ReadUniversity of Glasgow · James Watt School of Engineering
Every real structure differs from its neighbour, and every one differs from its model. I work out what that does to their dynamics, and how that impacts engineering decisions and understanding.
Structural and ensemble dynamics · Mechanical metamaterials · Uncertainty quantification · Inverse problems · Computational mechanics
Current scientific questions
Each of the five research themes below is a different way of attacking the same problem: a mechanical system whose properties are known only imprecisely, and a prediction that has to be trustworthy all the same.
Research architecture
Structural dynamics, probabilistic methods and computational mechanics are the three foundations. The five themes are the directions in which they are being pushed. The research programme page sets out how they connect.
01
Ensemble damping, phase decoherence, stochastic Green functions, random spectra and damped localisation.
Read02
Architected and disordered lattices, wave propagation, band gaps under manufacturing tolerance, inverse design.
Read03
Random operators, random eigenvalue problems, random matrices and fields, rare events, stochastic metamaterials.
Read04
Identifiability, non-uniqueness, probabilistic attribution, Bayesian and simulation-based inference.
Read05
Exact and semi-analytical methods, dynamic stiffness, model reduction, neural and measure operators.
ReadAbout

I have spent twenty-five years on one question in different disguises: what happens to a mechanical system once you admit that its properties are known only imprecisely.
I started with damping, because it is the term in the equation of motion that nobody can measure directly and everybody has to assume. That led to uncertainty, because a damping model fitted to one specimen rarely fits the next one. It led to metamaterials, because architected structures are where the assumption of a perfectly known geometry breaks down hardest. The subject has changed several times; the question has stayed the same.
I read Bachelor of Engineering at the University of Calcutta, now IIEST Shibpur, took an MSc at the Indian Institute of Science in Bangalore, and completed my PhD at the University of Cambridge in 2001 as a member of Trinity College, working with Jim Woodhouse on the identification of damping. After a Junior Research Fellowship at Fitzwilliam College I moved to Bristol as Lecturer in Dynamics, then to Swansea as Chair of Aerospace Engineering in 2007, and to Glasgow in 2021.
I have held visiting positions at IIT Delhi, IIT Kanpur, Central South University in Changsha, École Centrale de Lyon, Rice University, the University of Texas at Austin, Université Paris-Est, the University of Johannesburg, Los Alamos National Laboratory and Carleton University. Much of my best work has come out of those visits.
Alongside the theory I have spent a decade advising Embraer on uncertainty quantification for composite aircraft structures, and worked with Garrad Hassan, now DNV-GL, on wind turbine reliability. Theory earns its keep the day it meets a real structure.
Lectures
Nine plenary, one semi-plenary and sixteen keynote lectures at international conferences, alongside more than sixty invited seminars and eight intensive lecture courses. The most recent are below; the complete list, with slides, is on the lectures page.
Professional activities
Open research
A method is finished when other people can run it. Everything the group develops is released with a documented implementation, a reference problem set and a citable DOI.
Applications
The five themes are scientific identities. The work reaches practice through long-standing industrial collaborations in aerospace, wind energy and infrastructure.
People and opportunities
Doctoral and postdoctoral positions are advertised here when funded. Enquiries are welcome at any time from candidates with a background in structural dynamics, applied probability or computational mechanics.
Prospective doctoral students: read the research programme first, then write one page saying which of the open problems you want to work on and why. That page is what gets read.