Suresh Perinpanayagam leads transformative research at the University of York in the fields of digital/data-centric engineering, digital twins, and AI. The aim is to revolutionise system design by leveraging the power of data and high-performance computing. By combining these tools, the research will provide a more realistic and synergistic approach to complex future systems.
Suresh has a Bachelor and Master of Aeronautical Engineering from Imperial College, London and a PhD in Mechanical Engineering from Imperial College, London (Rolls-Royce Vibration University Technology Centre).
Suresh's digital engineering research team at the University of York engages in collaborative efforts with industry partners. They bring together cross-disciplinary themes of expertise, including advanced modelling and simulation, data analytics, and artificial intelligence, to conceive and construct next-generation engineering systems. These systems are engineered to be highly efficient, reliable, and economically viable. Their focus includes pioneering developments in fusion energy systems, electric/hydrogen aircraft, and autonomous transport vehicles, where the aim is to minimise the necessity for extensive testing and validation. These groundbreaking innovations play an indispensable role in tackling the world's escalating demands for energy, electrification, the adoption of circular economy practices, and the realisation of net-zero emissions goals.
Previously, Suresh held the Clough Chair Professorship in Artificial Intelligence for Predictive Maintenance, where he implemented Industry 4.0 concepts for oil and gas companies at Charles Darwin University, Australia (https://clough.com.au/clough-collaboration-with-charles-darwin-university/). He also worked at the SMART Centre on Future Urban Mobility, established by the Massachusetts Institute of Technology (MIT) in partnership with the National Research Foundation of Singapore (NRF).
Suresh led a research group at the Integrated Vehicle Health Management Centre (IVHM) at Cranfield University, an initiative initiated by Boeing Aircraft Company to develop health monitoring systems for aircraft, providing fleet-wide services, such as maintenance, performance improvement, and safety assurance, using extensive real-time data sets. He also served as the Principal Investigator for Data-Centric Engineering, AI, and Digital Twin research at Cranfield University in collaboration with Airbus, securing two million pounds worth of funding for the Future Landing Gear Phase 2 project (https://gtr.ukri.org/projects?ref=113143) and the LAND One project (https://gtr.ukri.org/projects?ref=10002411). Furthermore, Suresh was the Principal Investigator from Cranfield for a one-million-pound funding from Safran/ATI for the OLLGA project (https://www.gov.uk/government/news/over-200-million-to-help-uk-lead-the-way-on-greener-air-travel).
Suresh's international experience extends to Singapore, where he led pioneering research on a S$1.2 million project funded by The Boeing Company, EADS, and Singapore's Science and Engineering Research Council (SERC) as part of the SERC Aerospace Research Programme. This project introduced Industry 4.0 NDT inspection concepts for aircraft maintenance.
After graduating from Imperial College, Suresh worked at Ford Motor Company Development Centre in Dunton, UK, where he implemented data-centric platforms for new vehicle development. This platform resulted in significant cost savings for vehicle development and established the company as an agile establishment.
Suresh’s research group in Data-Centric Engineering and Digital Twinning Synergy (DACEDITS) at the University of York is one of the pioneering groups working with industry to integrate digital and data technologies to create unprecedented opportunities to revolutionise the way we approach the engineering design, control, development, and through-life supportability within aerospace, transport, energy and built infrastructure domains. By harnessing the power of digital and data technologies, they create a synergistic transformation that enhances efficiency, accuracy and adaptability throughout the entire lifecycle of these engineering systems.
Suresh’s group combines digital technologies with advanced modelling, simulation, and virtual prototyping techniques. Through digital tools, they can create detailed virtual representations of these systems within the Metaverse, allowing them to test and optimise their performance, reliability and safety before physical prototypes are even built.
Real-time monitoring, sensor integration, and data analytics enable Suresh’s team to gather and process vast amounts of information, empowering them to make data-driven decisions and optimise system performance. By leveraging data analytics and machine learning algorithms, Suresh’s team gains actionable intelligence from real-time data, facilitating predictive maintenance, condition monitoring, and fault detection.
By leveraging digital twin technologies, they create virtual replicas of these systems, continually updating them with real-time data. This enables remote monitoring, predictive analytics, and the ability to simulate and test maintenance scenarios.
Suresh has developed new sensory systems, high-fidelity simulation, and predictive analytics platforms for building algorithms to pair data-centric engineering models optimally with digital twins to achieve enhanced real-time and dynamic insight into complex future systems.
As a principal investigator, Suresh has secured grants exceeding £5 million. He has proactively cultivated a collaborative industrial network with several international aerospace, transport, and energy companies, including Boeing, Rolls-Royce, BAE Systems, Thales, Airbus Group, Safran, Meggitt, UKAEA, Heathrow Airport, Assystem, Awaretag and Chitendai Ltd. He is a thought leader with the ability to translate industrial needs into future research areas. Suresh possesses extensive experience in advancing technologies from low to high technology readiness levels and has assisted numerous small and medium-sized enterprises in their journey towards market exploitation.
Suresh has been the principal supervisor for seven PhD candidates and one Master’s by Research students, all of whom have been awarded their pursued degrees. Suresh has also been the principal supervisor of Individual Research Projects for thirty-five Master’s students who have been awarded their pursued degrees.
Suresh has generated high-level research output with his industrial partners and has published over 90 peer-reviewed journal and conference papers resulting from various research initiatives with industry and academics.
Suresh is always happy to receive inquiries from potential PhD candidates. If you have identified a funding source (eg a research fellowship) and think Suresh could be a good supervisor for your project, please do not hesitate to reach out.
Suresh has developed and taught courses in data-centric engineering for intelligent systems to both Bachelor's and Master's students. These courses cover a wide range of topics, including data-centric engineering, machine learning, digital twin technology, intelligent transport systems, IoT/sensory systems, predictive analytics, asset management, resilience engineering, project management, and system availability and maintainability.
Furthermore, Suresh has extensive experience in delivering online courses, apprenticeship programmes, continuing professional development programmes, and customised industrial training.
In addition to his teaching responsibilities, Suresh has taken on various administrative roles to ensure the effective operation of the School and Department. These roles have included academic planning, MSc course development and accreditation, health and safety management, as well as such positions as Knowledge Exchange and Enterprise Champion and REF manager.
Suresh is an Associate Editor for IEEE Transactions on Power Electronics – Special Issue on Robust Design and Reliability and a member of the Editorial Board of Microelectronics Reliability – Special Issue on Reliability of Power Electronics.
Suresh also serves as a reviewer for the following journals: