Contact Dr Suresh Perinpanayagam

Areas of expertise

  • Aeronautical Systems
  • Autonomous Systems
  • Electric and Hybrid Vehicles
  • Electric Power Machines
  • Mechatronics & Advanced Controls
  • Monitoring and Environmental Informatics
  • Safety, Resilience, Risk & Reliability
  • Sensor Technologies
  • Space Systems
  • Throughlife Engineering Services
  • Vehicle Health Management


Dr Suresh Perinpanayagam is a Senior Lecturer in Intelligent Systems and a Chartered Engineer at Integrated Vehicle Health Management (IVHM) Centre / DARTeC ( Suresh’s expertise is in Data-Centric Engineering, Digital Twins & High-Fidelity Simulation, and Artificial Intelligence (AI) for Intelligent Systems.

Suresh’s research group is one of the pioneering groups working with multinational engineering companies with large data sets, building algorithms to pair data-centric engineering models optimally with digital twins to achieve enhanced real-time and dynamic insight into complex future systems, including autonomous and connected systems, more/all-electric platforms and network-centric systems. These smart solutions are aimed at fostering global efforts to ensure implementation of environmentally-friendly technologies for intelligent decision-making, controls and resilience. 

Suresh has a Bachelor and Master in Aeronautical Engineering from Imperial College London. He pursued his PhD at the Rolls-Royce University Technology Centre at Imperial College, under the auspices of the European FP7 programme. During this tenure, he worked with major engine manufacturers in Europe (Rolls-Royce, UK; MTU, Germany; SNECMA, France).

Suresh has established an international profile and was recently on sabbatical at Charles Darwin University (CDU) as an Associate Professor and the Clough-sponsored Chair on Predictive Analytics and Intelligent Maintenance ( for the oil and gas sector. This position was fully funded by Clough Australia. Suresh has also collaborated with 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 has worked on over 25 industry-led projects funded by industry partners, Aerospace Technology Institute (ATI), Engineering and Physical Sciences Research Council (EPSRC), UK Research and Innovation, and European Commission. He has received grants worth more than US$4 million over his career as principal investigator. Suresh has provided academic mentoring and leadership to over fifty early and mid-career researchers to develop their research. He has successfully completed supervision of thirty-five Master’s students and six PhD theses as principal supervisor.

Suresh has worked at the Ford Motor Company Development Centres in Dunton, UK and Merknick, Germany, and implemented an integrated data-centric engineering platform for new vehicle design and development. This platform saved millions of pounds for vehicle development and eventually established the company as an agile establishment.  Suresh also worked as a Research Scientist at the Singapore Institute of Manufacturing Technology (SIMTech), an A*STAR (Agency for Science, Technology and Research) research institute in Singapore. Suresh was one of the pioneering researchers who was awarded a S$1.2 million project funded by The Boeing Company, EADS and Singapore's Science and Engineering Research Council (SERC) under the auspices of the SERC Aerospace Research Programme for introducing Industry 4.0 NDT inspection concepts for aircraft maintenance.

Suresh is a member of the EPSRC Peer Review College and the working group developing the IEEE Standard for Prognostics and Health Management. Suresh is also a Knowledge Exchange Co-ordinator in Cranfield.

Suresh has developed and teaches Data-Centric Engineering (IVHM) courses to Cranfield’s Master’s students ( He also teaches “Availability, Maintainability, Risk and Resilience” courses for the Maintenance Engineering and Asset Management MSc Courses ( He has also supervised Master’s group and individual projects for these MSc courses. Suresh has served as the external examiner for a dozen PhD theses.

Suresh is an associate editor for IEEE Transactions on Power Electronics – Special Issue on Robust Design and Reliability in Power Electronics. He is a member of the Editorial Board of Microelectronics Reliability – Special Issue on Reliability of Power Electronics.

Research opportunities

Suresh is currently recruiting in -Data-Centric Engineering, Digital Twins & High-Fidelity Simulation, and Artificial Intelligence (AI).


Post-Doc Opportunities: Top-quality motivated fellowship applicants (RAEng, UKRI, etc), please send a detailed CV and your top 1-2 papers for a discussion.


PhD Opportunities:

AI-Optimised Maintenance Paradigm for Aircraft Systems

Reliability and Health Monitoring of Power Electronics

Digital Twins in Condition Monitoring for Aerospace Systems

IoT based Maintenance and Asset Management based Maintenance and Asset Management PhD


Visiting Fellows/ PhD Students: who are interested in Data-Centric Engineering and Digital Twin research with a clear research plan.

Current activities

Suresh’s research interest is in Data-Centric Engineering, Digital Twins and AI for Intelligent Systems.

Suresh’s data-centric engineering research focuses on leveraging the intersection of engineering and data sciences to transform traditional system design, operation, and functional behaviour analytics into optimal cross-sectional analysis of systems for improved robustness and resilience.

Suresh’s digital twinning and high-fidelity simulation research uses real-time data and other highly-representative sensory sources for enabling learning, reasoning, predicting and dynamically recalibrating for improved decision-making. This encompasses the development of cutting-edge digital twin technologies to realise improved operational efficiency and achieving swift, accurate, meaningful, and highly-effective responses and will be the defining stratagems of systems’ design, control approaches, resilience, through-life supportability, and end-of-life prediction.

Suresh’s AI research focuses on inference acceleration from Artificial Narrow Intelligence to Artificial Super Intelligence for engineering systems and being able to develop AI-optimised algorithms and technologies with the level of explainability and trust that needs to be provided for safety-critical engineering systems.

Suresh’s long-term vision is to create every part of the engineering system with its own adaptive intelligence and connectivity capability so that it is aware of its own performance and state of health, and works effectively with other systems to complete a function even if it is not in an optimal state. The real-time data-centric smart elements will enable systems to adapt their operations and performance to environments that are complex, rapidly changing, and incompletely understood. Suresh envisages future engineering systems with self-health awareness, system re-configurability, operational resilience, and failure recovery capabilities. 

These adaptive Intelligent systems for self-health awareness will play an ever-increasing role in aerospace, automotive, rail, infrastructure and energy industries, from design to manufacture, through-life engineering and end-of-life disposal of these assets. These adaptive intelligent systems will also enable industry to realise their Industry 4.0 ambitions.

Suresh has developed data-centric engineering concepts in industry-led projects funded by The Boeing Company, Rolls-Royce, Thales, BAE Systems and Meggitt. He is also a principal investigator on the EU-FP7 Rep-AIR project, employing data-centric engineering and digital twin concepts together with Additive Manufacturing to future repair and maintenance for the aerospace industry (

Suresh is currently the Principal Investigator for Data-Centric Engineering and Digital Twin Concepts for Future Landing Gear platform research activities at Cranfield University with Airbus. He has received half a million pounds’ worth of funding in funding from Innovate UK and Airbus.

Suresh has developed a data-centric platform for health monitoring of power electronics modules and devices. This platform not only considers real-time information from power electronics modules but also physics-of-failure data, highly-accelerated life test data, and various environmental conditions ( Suresh is exploring a ground base data-centric system to provide advance failure warnings for automotive, aerospace, rail, power and energy customers. He is working with the Manufacturing Technology Centre, Ansty, to set up this capability.

Suresh has also received funding from the Northern Territory Government, Australia for developing Cost-Effective Maintenance of Remotely-Operated Hybrid Mini-Grid Systems (


  • Thales Group
  • Meggitt Systems
  • The Boeing Company
  • Airbus Group
  • Network Rail
  • Embraer
  • BAE Systems
  • Rolls-Royce
  • MOD
  • DSTL
  • Lufthansa Technik AG
  • Western Power Distribution
  • Safran


Articles In Journals

Conference Papers


  • Cubillo A, Perinpanayagam S., Rodriguez M, Collantes I & Vermeulen J. (2016) Prognostics Health Management System Based on Hybrid Model to Predict Failures of a Planetary Gear Transmission. In: Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2015. Niggemann, Oliver, Beyerer, Jürgen (ed.), Berlin: Springer- Verlag, p. 33-44.
  • Suresh Perinpanayagam (2013) Sensor, Instrumentation and Signal Processing. In: Integrated Vehicle Health Management: The Technology. Ian K. Jennions (ed.), SAE International, p. 5-25.
  • Walker R, Perinpanayagam S & Jennions I. (2012) Simulating Unbalance for Future IVHM Applications. In: Topics in Model Validation and Uncertainty Quantification, Volume 4 Proceedings of the 30th IMAC, A Conference on Structural Dynamics, 2012. T. Simmermacher, S. Cogan, L.G. Horta, R. Barthorpe (ed.), Springer, p. 141-148.