Dr Sathiskumar Anusuya Ponnusami
MEng, PhD, FRAeS, FHEA
Senior Lecturer in Engineering AI
Engineering 214, Mile End Campus
| Expertise: | Mechanics of Materials, Scientific Machine Learning, Multiscale and Multiphysics Modelling, Fracture Mechanics, Multifunctional Composites, Aerospace Structures, Nonlinear Mechanics, Applied AI for Materials and Structures Design and Diagnostics. |
| Research Centre: | Intelligent Transport |
| Affiliations: |
Fellow of the Royal Aeronautical Society (FRAeS) Fellow of the UK Higher Education Academy (FHEA) Associate Editor - Mechanics of Materials (Elsevier) Associate Editor - Ceramics International (Elsevier) Board Member- UK Association for Computational Mechanics (UKACM) |
Brief Biography
Dr Sathiskumar Anusuya Ponnusami current works as a Senior Lecturer in Engineering AI at Queen Mary University of London. His research integrates materials engineering, computational mechanics, and data-driven methods to develop multifunctional composites and AI-driven computational frameworks for next- generation materials/structures design. His team develops AI-driven modelling and simulation tools for aerospace/mechanical engineering problems ranging from structural control, failure predictions, health monitoring and materials design.
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 Ceramics International (Elsevier) and a board member of the UK Association for Computational Mechanics (UKACM). His recognitions include the Airbus-UNESCO Fly Your Ideas winner, the NLF Dutch Aerospace Award, the Young Scientist Award at the International Conference on Self-Healing Materials, Belgium and the Alan Turing Institute's UK-Italy AI Exchange Research Award. His research is supported by the Royal Society, UKRI-EPSRC, British Council, IMechE, Alan Turing Institute and industry.
Prior to Queen Mary, he worked as a Reader in Engineering at City St George's, University of London between 2018 and 2025, and as a postdoctoral researcher in the Solid Mechanics Group at the University of Oxford between 2016 and 2018, 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 also served as the Programme Director for Aeronautical and Aerospace Engineering Programmes (2022-2025) and as a Admissions Tutor (2019-2022) for Undergraduate Engineering at City.
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 Ceramics International (Elsevier) and a board member of the UK Association for Computational Mechanics (UKACM). His recognitions include the Airbus-UNESCO Fly Your Ideas winner, the NLF Dutch Aerospace Award, the Young Scientist Award at the International Conference on Self-Healing Materials, Belgium and the Alan Turing Institute's UK-Italy AI Exchange Research Award. His research is supported by the Royal Society, UKRI-EPSRC, British Council, IMechE, Alan Turing Institute and industry.
Prior to Queen Mary, he worked as a Reader in Engineering at City St George's, University of London between 2018 and 2025, and as a postdoctoral researcher in the Solid Mechanics Group at the University of Oxford between 2016 and 2018, 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 also served as the Programme Director for Aeronautical and Aerospace Engineering Programmes (2022-2025) and as a Admissions Tutor (2019-2022) for Undergraduate Engineering at City.