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Abhishek Kundu

Dr Abhishek Kundu

Senior Lecturer - Teaching and Research

School of Engineering

Available for postgraduate supervision


I am a Senior Lecturer in mechanical engineering, working with the Applied and Computational Mechanics research group. I work with industrial partners and academic collborators on the topics of Structural Health Monitoring, Ultrasonic Waves and Engineering Uncertainty quantification. There are research positions and PhD studentship which are available in our research group. I have over 40 publications in international journals, conference proceedings, book chapters and thesis.

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
















  • Welsh Government - Québec-Wales collboration 2021
    • Project: Acoustic Source Identification with Aritificial Intelligence (AI)
    • Duration: 12 months (2022-23)
    • Academic Partner: Université de Sherbrooke, Québec, Canada
  • Welsh Government - SmartExpertise (CoI)
    • Project: DigiBridge
    • Duration: 12 months (2021-22)
    • Industry partner: Centregreat Rail, Crouch Waterfall, Centregreat Engineering
    • Project: Digital Twins in support of Smart Bridge Structural Surveying
    • Duration: 36 months (2021-24)
    • Industry partner: Centregreat Rail
  • EPSRC (PI)
    • Project: Towards CyberSHM: autonomous acousto-ultrasonic health monitoring of operational composite structures
    • Duration: 36 months (2021-2024)
    • Industry partner: Airbus, Mistras
  • Royal Academy of Engineering - Industrial Fellowship (PI)
    • Duration: 21 months
    • Industry partner: Airbus
    • Link to project
  • Multidisciplinary robust optimization of early-stage aircraft wing design under uncertainty (PI)
    • Funder: Airbus and EPSRC iCASE
  • SCoRE Cymru award - host researcher (PI).
  • CONFAP-UK Academies under The Newton Fund – (PI, UK)
    • Collaborator: University of Brasilia
  • Sêr Cymru NRN Participant Costs award – (PI)
  • Reduced order modelling and error estimates for time varying stochastic systems (Co-PI)
    • Funder: Engineering Research Network Wales
    • Academic collaborator: Swansea University

Selected awards & achievements

  • Best paper award at the 9th European Workshop on Structural Health Monitoring, 10-13 July 2018 at Manchester, UK; News:
  • Zienkiewicz PhD Scholarship, Swansea University, UK, Award period: 2011–2013

Selected Invited talks

  • Data-driven damage characterization in multi-layered composite structures: a machine learning approach, HeaMES 2019, Glasgow, UK.
  • A probabilistic framework for robust inverse design under uncertainty: Application to aircraft wing design, DiPaRT 2019, 20 Nov 2019 Bristol, UK.
  • Probabilistic uncertainty quantification and management (UQ&M) for engineering applications, Keynote Lecture, Uncertainty Quantification and Stochastic Modelling, Brazil; 30 August 2017.
  • Robust Design of Early Stage Aircraft Wing in Multidisciplinary Design Optimisation, DiPaRT Conference, Centre for Modelling & Simulation (CFMS), Bristol & Bath Science Park, 22 November 2017.
  • Framework of Total Uncertainty Quantification in Computational Mechanics, TU Braunschweig, Germany; 26 November 2014.
  • Uncertainty Quantification and probabilistic design optimization of multiscale engineering systems, Welsh National Research Network in Advanced Engineering and Materials, UK; 25 September 2014.

Synergistic Activities

  • Reviewer for papers: Serves as the reviewer for several reputed international journals some of which are ● COMPOS STRUCT, ● J ACOUST SOC AM, ● SENSORS, ● MECH SYST SIGNAL PR, ● INT J NUMER METH ENG,  ● J VIB CONTROL, ● APPL MATH MODEL, ● J COMPUT APPL MATH, ● INVERSE PROBL SCI EN, ● MATH COMP MODEL DYN
  • Reviewer for grants: EPSRC, UK; FONDECYT, Chile.
  • Editorial: Guest editor for the special issue on Advances in Signal Processing for SHM and NDT in the Signals.
  • Conference Organization:
    • Organizing mini-symposium on ‘Digital twins for the design and optimisation of lightweight structures’ in WCCM 2022, Yokohama, Japan.
    • Organizing mini-symposium on ‘Machine learning and modelling in structural health monitoring’ in EWSHM 2022, Palermo, Italy.
    • HeaMES 2019 (technical advisory panel and session chair)
    • EWSHM 2018 (scientific committee and session chair)
    • ACME-UK 2016 (scientific committee).
  • Professional Organization Membership:
    • Member of Royal Aeronautical Society
    • Participant in British Institute of Non-destructive testing (BINDT) - South Wales Branch

    Supervised Students



    Invovlement with taught modules

    • EN4641/ENT641 - Theory & Applications of Finite Element Method
    • EN3037 - Solid Mechanics
    • EN3100 - Year 3 projects
    • EN2026 - Engineering Analysis
    • EN2105 - Solid Mechanics
    • EN1048 -  Engineering applications
    • ENT637 - MSc Case Study


    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

    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).


    Ongoing supervision

    • Anirudh Gullapalli
    • Qi Chen
    • Bryn Walton
    • Taha Aburakhis
    • Abdullah Alshahrani (co)
    • Benjamin Mason (co)
    • Karan Baramate (co)
    • Abdulkarim Mimoun (co)
    • Mazen Alqathami (co)

    Supervised students

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

    Areas of supervision:

    • Structural health monitoring
    • Ultrasonic waves and acoustics
    • Inverse problems using Bayesian inference
    • Machine learning and artificial intelligence
    • Robust optimization
    • Reduced order modelling
    • Vibration control