Topic: 'Potential of Generative AI in Engineering: From materials design to rotor profile optimisation”
Dr Sathiskumar Anusuya Ponnusami is a Senior Lecturer (Associate Professor) in Structural Mechanics within the Department of Engineering at City, University of London. His research interests encompass computational modelling and design of materials and structures while his ongoing research exploits utilising machine learning tools for mechanics and materials engineering problems. He is the recipient of the UK- Italy Trustworthy AI Researcher Award from the Alan Turing Institute, the National Institute for Data Science and AI in the UK. He also served as the Data Study Group (DSG) PI at the Alan Turing Institute to deploy machine learning algorithms for mechanics problems. Prior to his current position, he worked as a postdoctoral researcher in the Solid Mechanics Group at the University of Oxford, UK, on developing computational damage models and data-driven machine learning (ML) tools for fan blades within the Rolls-Royce University Technology Centre.
During his career, he was awarded several prizes including the Airbus-UNESCO Fly Your Ideas winner 2015 for innovation in aerospace, NLF Dutch Aerospace Award for the best aerospace engineering student in the Netherlands 2015 and the Young Scientist Award at the International Conference on Self-Healing Materials, Ghent Belgium 2013(£5,000). He was recently awarded a Newton International Fellowship Grant from the Royal Society, as the UK applicant to develop AI tools for active vibration control. He also holds an UKRI-EPSRC grant as the PI to develop hybrid AI-driven simulation tools for failure predictions. His ongoing research also includes developing health monitoring strategies using deep learning (supported by IMechE’s Astridge Scholarship) and AI-driven design tools for compressor blade design (funded by Industrial Consortium, CERES). His research outputs include 40 journal articles, 30 international conference presentations, 7 book chapters and a patent.
