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Dr Abhishek Kundu

Dr Abhishek Kundu

Lecturer - Teaching and Research

School of Engineering

+44 (0)29 2087 5953
W/2.35, S LG.32
Available for postgraduate supervision


I am a lecturer in mechanical engineering, working with the Applied and Computational Mechanics research group. My primary research interests are as follows -

  • Uncertainty Quantification (UQ) in computational engineering mechanics is necessary in design, calibration and performance prediction of practical engineering systems to ensure their clean and fail-safe operation. This finds applications in wide range of areas starting from design under uncertainty to multistage digital manufacturing process.
  • Structural Health Monitoring is a significant area of interest especially for aerospace applications where intelligent monitoring systems for structures integrated within an IOT framework would help in the development and fail-safe operation of next smart structures.
  • Active control of vibration and noise is essential to ensure robust, real-time cancellation of structural vibration/noise even under changing operational and loading conditions.
  • Computational modelling and digital twin is receiving increasing attention in high-tech applications because it enables simulation of a products’ operation in a virtual environment in a parametrized space which captures both design features and operational conditions. This requires advanced computational modelling techniques including reduced order modelling to have a sleek, interactive model in real-time.

Areas of expertise

  • Uncertainty Quantification
  • Bayesian inference
  • structural dynamics
  • reduced order computational modelling
  • robust optimization
  • machine learning
  • vibration and noise control

NRN researcher profile


Educational qualifications:

  • PhD, Swansea University, Swansea, UK, 2014.
  • MS, Universite de Sherbrooke, Sherbrooke, Canada, 2010.
  • BE, Jadavpur University, Kolkata, India, Mechanical Engineering, 2007.

Honours and awards

  • Best paper award
    • Conference: 9th European Workshop on Structural Health Monitoring, 10-13 July 2018.
    • Location: Manchester, UK.
  • The Ser Cymru NRN Industrial Fellowship, UK
    • Industrial partner: Airbus
    • Duration: 2016-17
  • SCoRE Cymru award of funding
    • Purpose: to host incoming Marie Skłodowska Curie IF fellow
    • Date of Award: April 2017.
  • CONFAP (Brazil) - UK Academies mobility grant under Newton Fund Programme
    • Purpose: mobility grant to collaborate with the University of Brasilia
    • Date of Award: February 2017.
  • Fellow of the Higher Education Academy
    • Date of Award: 2016.
  • Zienkiewicz Scholarship, Swansea University, UK
    • Award period: 2010–2013
    • Full Support for PhD studentship

Speaking engagements

  • Data-drive damage characterization in multi-layered composite structures: a machine learning approach. Invited to HeaMES 2019, 2nd International Conference on Health Monitoring of Civil & Maritime Structures, Glasgow, UK; 23-24 May 2019.
  • Probabilistic uncertainty quantication and management (UQ&M) for engineering applications, Keynote Lecture, Uncertainty Quantification and Stochastic Modelling workshop, University of Brasilia, Brazil; 30 August 2017.
  • Framework of Total Uncertainty Quantification in Computational Mechanics, invited to present at TU Braunschweig, Braunschweig, Germany; 26 November 2014.
  • Uncertainty Quantification and probabilistic design optimization of multiscale engineering systems, Welsh National Research Network in Advanced Engineering and Materials, Cardiff, UK; 25 September 2014.
  • A reduced spectral function approach for stochastic transient dynamics, Workshop on ”Linear Algebra Aspects of Solving PDEs with Random Data”, School of Mathematics, University of Manchester, Manchester, UK; 9-10 January, 2012.

Committees and reviewing

Provides reviewer service for

  • International Journal for Numerical Methods in Engineering, Wiley
  • The Journal of the Acoustical Society of America, ASA
  • Mechanical Systems and Signal Processing, Elsevier
  • Journal of Vibration and Control, SAGE
  • Applied Mathematical Modelling, Elsevier
  • Journal of Computational and Applied Mathematics, Elsevier.
  • Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis
  • Reviewer for Research Grant Applications for FONDECYT 2014 (CONICYT - Chile).










Invovlement with taught modules

  • EN4641/ENT641 - Theory & Applications of Finite Element Method
  • EN3037 - Solid Mechanics
  • EN3100 - Year 3 projects
  • EN2105 - Solid Mechanics
  • EN1048 -  Engineering applications
  • ENT637 - MSc Case Study


  • Royal Academy of Engineering - Industrial Fellowship
    • Duration: 18 months
  • Multidisciplinary robust optimization of early-stage aircraft wing design under uncertainty
    • Funder: Airbus and EPSRC DTP
  • Data-drive multidisciplinary design optimization of aircraft structures (MOAD) under uncertainty
    • Funder: Engineering Research Network Wales
    • Industrial partner: Airbus
  • Reduced order modelling and error estimates for time varying stochastic systems

Supervised Students

Title Student Status Degree


Ongoing supervision

  • Taha Aburakhis
  • Mazen Alqathami
  • Jose Dorado Ladera
  • Hatem Elabidi (co)
  • Benjamin Mason (co)

Supervised students

  • Pedro Bonilla Villalba
  • Xiaohan Du
  • S . E. Pryse (in collaboration with Swansea University)

Areas of supervision:

  • Reduced order modelling
  • Inverse problems using Bayesian inference
  • robust optimization
  • Machine learning in engineering
  • structural health monitoring
  • Vibration control