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Dr Abhishek Kundu

Dr Abhishek Kundu

Lecturer - Teaching and Research

School of Engineering

Email
kundua2@cardiff.ac.uk
Telephone
+44 (0)29 2087 5953
Campuses
W/2.35, S LG.32
Users
Available for postgraduate supervision

Overview

I am a lecturer in mechanical engineering, working with the Applied and Computational Mechanics research group. I presently hold a Royal Academy of Engineering Industrial fellowship on UQ&M with Airbus on industrial aircraft wing design under uncertainty. 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

Biography

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).

Publications

2021

2020

2019

2018

2017

2015

2014

2011

Teaching

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

Contracts

  • EPSRC - New Investigator Award (PI)
    • Project: Towards CyberSHM: autonomous acousto-ultrasonic health monitoring of operational composite structures
    • Duration: 36 months (from Nov 2021)
    • Industry partner: Airbus, Mistras
  • Royal Academy of Engineering - Industrial Fellowship (PI)
  • 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

Selected Invited talks

  • Data-driven damage characterization in multi-layered composite structures: a machine learning approach, HeaMES 2019, Glasgow, UK.
  • Probabilistic uncertainty quantification and management (UQ&M) for engineering applications, Keynote Lecture, Uncertainty Quantification and Stochastic Modelling, Brazil; 30 August 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 ‘Autonomous machine learning-enhanced SHM for aerostructures’ in EWSHM 2020 (Special Session 20, now postponed)
    • HeaMES 2019 (technical advisory panel and session chair)
    • EWSHM 2018 (scientific committee and session chair)
    • ACME-UK 2016 (scientific committee).
  • Professional Organization Membership: participant in British Institute of Non-destructive testing (BINDT) - South Wales Branch, e-member American Institute of Aeronautics and Astronautics (AIAA)

Supervised Students

Title Student Status Degree

Supervision

Ongoing supervision

  • Qi Chen
  • Bryn Walton
  • Taha Aburakhis
  • Mazen Alqathami
  • Abdullah Alshahrani (co)
  • Hatem Elabidi (co)
  • Benjamin Mason (co)
  • Jose Dorado Ladera (MPhil)

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