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Dr Sathiskumar Anusuya Ponnusami

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School of Science & Technology Department of Engineering

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Overview

Dr Sathiskumar Anusuya Ponnusami is a Reader (Associate Professor) in Structural Mechanics (Aeronautics) in the Department of Engineering at City, University of London since October 2018. His research interests encompass multiscale and multiphysics mechanics of multifunctional composites for aerospace (and other transport and energy) structures with an emphasis on data-driven modelling. He is an elected fellow of the Royal Aeronautical Society (FRAeS) and the UK Higher Education Academy (FHEA). He is an Associate Editor of the Mechanics of Materials journal (Elsevier) and a board member of the UK Association for Computational Mechanics (UKACM).

Prior to City, he worked as a postdoctoral researcher in the Solid Mechanics Group at the University of Oxford, where he was involved in developing computational models and data-driven machine learning tools for advanced composite fan blades within the Rolls-Royce University Technology Centre. He serves as the Programme Director for Aeronautical and Aerospace Engineering Programmes. He was the Deputy Admissions Tutor for Undergraduate Engineering Programmes between 2019 and 2023.

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He graduated with his PhD from Delft University of Technology (TU Delft) in the Netherlands. His doctoral research centered around computational modelling of fracture and healing in self-healing turbine composite coatings for aerospace applications, supported by collaborative experimental development with material scientists. He also served as the leader of the team MultiFun, which won the £ 30,000 Airbus-UNESCO Fly Your Ideas Global Challenge 2015. He is also the awardee of the NLF Dutch Aerospace Award 2015 (University category, Netherlands), ITMA Future Materials Awards 2015 (WTiN, UK), and ICSHM Young Scientist Award 2013.

Some of his current research projects include:

(1) EPSRC-funded Project on hybrid Deep Learning- FEA technique for fracture prediction in material systems (DelFE). Role: Principal Investigator. Collaboration with EPFL and the University of Florida to develop faster fracture prediction tools in complex material systems through hybridising FEA with deep learning architectures. 

(2) Royal Society Newton Grant-funded project on Physics-informed deep learning and Digital Twin tools for active vibration control of aerospace structures using integrated sensor-actuator material systems

(3) IMechE's Astridge Scholarship funded project on Artificial Intelligence-driven Structural Health Monitoring in aerospace composite structures

(4) CERES Industrial Consortium funded project on Design and optimization of screw compressor rotor profiles using generative deep learning (Conditional GANs)

(5) British Council Funded Going Global Grant on Industry-Academia Partnerships for Industry 5.0

His main teaching activities cover subjects such as mechanics of materials, structural analysis, finite element method and composites at both undergraduate and postgraduate levels.

Qualifications

  • PhD (Aerospace Engineering), Delft University of Technology (TU Delft), Netherlands
  • Master of Engineering (Aerospace Engineering), Indian Institute of Science (IISc), India

Employment

  • Reader in Engineering, City, University of London, United Kingdom, July 2024 - present
  • DSG Principal Investigator, The Alan Turing Institute, United Kingdom, December 2022 - August 2023
  • Programme Director - Aerospace and Aeronautical Engineering Undergraduate Programmes, City, University of London, United Kingdom, September 2022 - present
  • Senior Lecturer in Structural Mechanics (Aeronautics), City, University of London, United Kingdom, August 2022 - June 2024
  • Deputy Admissions Tutor- UG Engineering Programmes, City, University of London, United Kingdom, August 2020 - August 2023
  • Lecturer in Structural Mechanics, City, University of London, United Kingdom, October 2018 - July 2022
  • Postdoctoral Research Assistant, University of Oxford, United Kingdom, December 2016 - September 2018

Research students

1stsupervisor

Publications

Publications by category

Chapters (6)

  • Mahesh, V., Mahesh, V., Mangalasseri, A.S., Harursampath, D. and Ponnusami, S.A. (2023). Effect of functionally graded magneto-electro-elastic facings on the damped nonlinear transient response of a sandwich plate with agglomerated CNT core. Functionally Graded Structures IOP Publishing. ISBN 9780750352994.
  • Mangalasseri, A.S., Mahesh, V., Mahesh, V., Mukunda, S., Ponnusami, S.A. and Harursampath, D. (2023). Effect of External Resistances on Energy Harvesting Behaviour of Porous Functionally Graded Magneto-Electro-Elastic Beam. Mathematical Methods in Dynamical Systems (pp. 91-110). CRC Press.
  • Wahaba, M.Z., Yazdani Nezhad, H., Pradeep, Y.C. and Ponnusami, S.A. (2022). A deep learning-based tool to predict delamination induced interlaminar stresses in composite structures. Composites Assembly for High Performance Fastener-less Structures (pp. 559-574). The Institution of Engineering and Technology. ISBN 9781839531491.
  • Ponnusami Sathiskumar A., , Turteltaub Sergio, , Zhang Xun, and Xiao Ping, (2015). Modelling crack propagation in particle-dispersed self healing thermal barrier coatings. Self Healing Materials IOS Press.
  • Sloof W.G., , Turteltaub S.R., , Carabat A.L., , Derelioglu Z., , Ponnusami S.A., and Song G.M., (2015). Crack healing in yttria stabilized zirconia thermal barrier coatings. Self Healing Materials IOS Press.
  • Anusuya Ponnusami, S. Delamination Detection and Localization in Laminated Structures Using Machine Learning Techniques. Advances in Interdisciplinary Engineering

Conference papers and proceedings (20)

  • Attada, P.K., Ravichandran, A., Sunthareswaran, V., Harursampath, D. and Ponnusami, S.A. Developing a Multiscale Reduced-Order Model for Non-Linear Buckling of Auxetic Sandwich Beams Using Variational Asymptotic Method. AIAA SCITECH 2026 Forum.doi:10.2514/6.2026-0840
  • Bhalerao, S.P., Srivastava, C., Pitchai, P., Sunthareswaran, V., Ponnusami, S.A. and P.J., G. Mesoscale Homogenization of Composite Lattice Structures Using the Variational Asymptotic Method. AIAA SCITECH 2026 Forum.doi:10.2514/6.2026-1409
  • Sunthareswaran, V., Bravo Haro, M. and Anusuya Ponnusami, S. Using Machine Learning Models to Predict Damage in Aerospace Composites, Subjected to Real Flight Loads and Profiles. AIAA SCITECH 2026 Forum.doi:10.2514/6.2026-2454
  • Lacevic, H., Kovacevic, A., Read, M. and Ponnusami, S.A. Rotor Profile Design for Internally Geared Screw Machines Using Deep Neural Network. .doi:10.1007/978-3-032-04102-9_26
  • Quiroz, M., Ponnusami, S. and Bravo-Haro, M. (2025). SEMI-SUPERVISED DAMAGE DETECTION IN WIND TURBINE COMPONENTS UNDER ENVIRONMENTAL VARIABILITY. 10th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering 15-18 June.doi:10.7712/120125.12779.24861
  • Singh, G., Murugan, M.S. and Ponnusami, S.A. Data Driven Modeling and Control of Delivery Drone. .doi:10.1007/978-981-99-8986-7_13
  • Sunthareswaran, V., Yazdani, H.N. and Ponnusami, S.A. Using Machine Learning & Finite Element Analysis to Detect damage in composite structures. .
  • Nakka, R., Phanendra Kumar, A., Ponnusami, S.A. and Harursampath, D. Multi-physical property prediction of fibre-reinforced composites using convolutional neural networks. .
  • Kumar, A., Kovacevic, A., Ponnusami, S.A., Patil, S., Abdan, S. and Asati, N. On performance optimisation for oil-injected screw compressors using different evolutionary algorithms. .doi:10.1088/1757-899x/1267/1/012021
  • Chittala, T.S., Burela, R.G. and Ponnusami, S.A. Delamination Detection and Localization in Laminated Structures Using Machine Learning Techniques. .doi:10.1007/978-981-15-9956-9_22
  • A Ponnusami, S., Pathan, M.V., Erice, B., Gupta, M. and Petrinic, N. Evaluating the effect of matrix voids and interface flaws on the mechanical behaviour of fiber composites. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference.doi:10.2514/6.2018-0650
  • Anusuya Ponnusami, S., Gupta, M. and Harursampath, D. Nonlinear Bending and Buckling Behavior of Carbon Nanotubes and Their Composites- Continuum Modelling using Variational Asymptotic Method. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference.doi:10.2514/6.2018-0699
  • Ponnusami, S.A., Cui, H., Erice, B., Pathan, M.V., Petrinic, N., Buzaud, E.... Cadoni, E. A Wedge-DCB Test Methodology to Characterise High Rate Mode-I Interlaminar Fracture Properties of Fibre Composites. .doi:10.1051/epjconf/201818302052
  • Pathan, M.V., Erice, B., Ponnusami, S.A., Petrinic, N., Buzaud, E., Cosculluela, A.... Cadoni, E. Experimental characterisation of rate-dependent compression behaviour of fibre reinforced composites. .doi:10.1051/epjconf/201818302053
  • Erice, B., Thomson, D., Ponnusami, S.A., Pathan, M.V., Petrinic, N., Buzaud, E.... Cadoni, E. On the Rate-dependent Plasticity Modelling of Unidirectional Fibre-reinforced Polymeric Matrix Composites. .doi:10.1051/epjconf/201818301055
  • Rammohan, B., Harursampath, D. and Ponnusami, S.A. Aeroelastic analysis of composite laminates. .
  • Ponnusami, S.A., Pathan, M.V., Erice, B. and Petrinic, N. Effect of pre-existing microstructural defects on elastic and fracture properties of composites. .
  • Anusuya Ponnusami, S. Blending Modern Multifunctional Materials with Traditional Structures: An Approach for a Greener and Cleaner Future. .
  • Ponnusami, S.A., Harursampath, D. and Uthandi, A. Nonlinear modeling of piezocomposite actuators with application to self-actuating apping wing micro aerial vehicles. .
  • Ponnusami, S., Harursampath, D. and Uthandi, A. Nonlinear Modeling of Piezocomposite Actuators with Application to Self-actuating Flapping Wing Micro Aerial Vehicles. 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
    20th AIAA/ASME/AHS Adaptive Structures Conference
    14th AIAA    .doi:10.2514/6.2012-1966

Journal articles (47)