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Suresh Perinpanayagam
Professor of Engineering

Profile

Biography

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.

Publications

Full publications list

Journals

  1. Wileman, A., Aslam, S. and Perinpanayagam, S. (2023) ‘A Component-Level Digital Twin Model for Power Converter Health Monitoring’, IEEE Access, Volume 11
  2. Shimizu, M., Perinpanayagam, S., Namoano, B. and Starr, A. (2023) ‘Real-Time Prognostics and Health Management Without Run-to-Failure Data on Railway Assets’, IEEE Access, Volume 11
  3. Shimizu, M., Perinpanayagam, S., and Namoano, B. (2022) ‘A Real-Time Fault Detection Framework based on Unsupervised Deep Learning for Prognostics and Health Management of Railway Assets’, IEEE Access, Volume 10 (October) 96442-96458
  4. Li, L., Aslam, S., Wileman, A. and Perinpanayagam, S. (2021) ‘Digital Twin in Aerospace Industry: A Gentle Introduction’, IEEE Access, https://ieeexplore.ieee.org/document/9656111
  5. Wileman, A., Aslam, S. and Perinpanayagam, S. (2021) ‘A Road Map for Reliable Power Electronics for More Electric Aircraft’, Progress in Aerospace Journal, Volume 127, 1 November 2021, 100739
  6. Ramesh, G., Garza, P., and Perinpanayagam, S. (2021) ‘Digital Simulation and Identification of Faults with Neural Network Reasoners in Brushed Actuators Employed in an E-Brake System’, MDPI Applied Sciences Journal, 11(19), 9171, https://doi.org/10.3390/app11199171
  7. Wileman, A., Perinpanayagam, S. and Aslam, S. (2021) ‘Physics of Failure (PoF) Based Lifetime Prediction of Power Electronics at the Printed Circuit Board Level’, MPDI Applied Sciences Journal, 11(6), 2679
  8. Garza, P., Perinpanayagam, S., Aslam, S. and Wileman, A. (2020) ‘Qualitative Validation Approach Using Digital Model for the Health Management of Electromechanical Actuators’, MPDI Applied Sciences Journal, 10(21), 7809
  9. Aslam, S., Jennions, I.K., Samie, M., Perinpanayagam, S. and Fang, A.Y. (2020) ‘Ingress of Threshold Voltage-Triggered Hardware Trojan in the Modern FPGA Fabric Detection Methodology and Mitigation’, IEEE Access, Volume 8
  10. Alghassi, A., Soulatiantork, P., Samie, M., Perinpanayagam, S. and Faifer, M. (2017) ‘Fault Tolerance Enhance DC-DC Converter Lifetime Extension’, Procedia CIRP, Volume 59, pages 268–273
  11. Nel, B.J. and Perinpanayagam, S. (2017) ‘A Brief Overview of SiC MOSFET Failure Modes and Design Reliability’, Procedia CIRP, Volume 59, pages 280–285
  12. Soulatiantork, P., Alghassi, A., Faifer, M. and Perinpanayagam, S. (2017) ‘IGBT Thermal Stress Reduction Using Advance Control Strategy’, Procedia CIRP, Volume 59, pages 274–279
  13. Sebastian, R., Perinpanayagam, S. and Choudhary, R. (2017) Health Management Design Considerations for an All Electric Aircraft, Procedia CIRP, Volume 59, pages 102–110
  14. Arachchige, B., Perinpanayagam, S. and Jaras, R. (2017) ‘Enhanced Prognostic Model for Lithium-Ion Batteries Based on Particle Filter State Transition Model Modification’, MDPI Journal of Applied Science, Volume 7, 1172
  15. Alghassi, A., Soulatiantork, P., Samie, M., Perinpanayagam, S. and Faifer, M. (2017) ‘Fault Tolerance Enhance DC-DC Converter Lifetime Extension’, Procedia CIRP, Volume 59, pages 268–273
  16. Nel, B.J. and Perinpanayagam, S. (2017) ‘A Brief Overview of SiC MOSFET Failure Modes and Design Reliability’, Procedia CIRP, Volume 59, pages 280–285
  17. Soulatiantork, P., Alghassi, A., Faifer, M. and Perinpanayagam, S. (2017) ‘IGBT Thermal Stress Reduction Using Advance Control Strategy’, Procedia CIRP, Volume 59, pages 274–279
  18. Sebastian, R., Perinpanayagam, S. and Choudhary, R. (2017) Health Management Design Considerations for an All Electric Aircraft, Procedia CIRP, Volume 59, pages 102–110
  19. Arachchige, B., Perinpanayagam, S. and Jaras, R. (2017) ‘Enhanced Prognostic Model for Lithium-Ion Batteries Based on Particle Filter State Transition Model Modification’, MDPI Journal of Applied Science, Volume 7, 1172
  20. Cubillo, A., Perinpanayagam, S., Esperon-Miguez, M. and John, P. (2017) ‘Real-Time Maintenance Optimization Considering Health Monitoring and Additive Manufacturing’, International Journal of Prognostics and Health Management
  21. Arachchige, B. and Perinpanayagam, S. (2017) ‘Uncertainty Quantification in Aircraft Gas Turbine Engines’, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
  22. Cubillo, A., Perinpanayagam, S. and Esperon-Miguez, M. (2016) ‘A Review of Physics-Based Models in Prognostics: Application to Gears and Bearings of Rotating Machinery’, Advances in Mechanical Engineering, 8 (8), 1687814016664660
  23. Cubillo, A., Uriondo, A. and Perinpanayagam, S. (2016) ‘Computational Mixed-TEHL Model for Stribeck Curve Estimation of a Journal Bearing’, Journal of Tribology Transactions
  24. Sebastian, R., Perinpanayagam, S. and Alghassi, A. (2016) ‘PHM-Based Adaptive Power Management System for a More Electric Aircraft’, The International Journal of Prognostics and Health Management Journal, Volume 7, Issue 2
  25. Uriondo, A., Portoles, L., Jordan, O., Jordan, L., Esperon-Miguez, M. and Perinpanayagam, S. (2016) ‘A Novel Qualification Procedure to Manufacture and Repair Aerospace Parts with Electron Beam Melting’, Journal of Manufacturing Systems
  26. Cubillo, A., Perinpanayagam, S., Rodriguez, M., Collantes, I. and Vermeulen, J. (2016) ‘Physics-Based IVHM Systems for Predicting the RUL of an Aircraft Planetary Gear Transmission’, The International Journal of Structural Integrity (IJSI)
  27. Portoles, L., Jordan, O., Jordan, L., Uriondo, A., Esperon-Miguez, M. and Perinpanayagam, S. (2016) ‘Additive Manufacturing: Certification in the Aircraft Market and a Qualification Procedure for Metal Parts’, The International Journal of Structural Integrity (IJSI)
  28. Bhambra, J. and Perinpanayagam, S. (2016) ‘Aging Detection Capability for Switch-Mode Power Converters’, IEEE Transactions on Industrial Electronics Journal, Volume 63, Issue 5, pages 3216–3227
  29. Wakil, A.S., Perinpanayagam, S., Samie, M. and Jennions, I. K. (2016) ‘A Novel Intermittent Fault Detection Algorithm for Health Monitoring in Electronics Circuits’, IEEE Transactions on Components, Packaging and Manufacturing Technology, Volume 6, Issue 3, pages 400–406
  30. Alghassi, A., Perinpanayagam, S. and Samie, M. (2015) ‘Stochastic RUL Calculation Enhanced with TDNN Base IGBT Failure Modelling’, IEEE Transactions on Reliability, Volume PP, Issue 99
  31. Wakil, A.S., Perinpanayagam, S., Samie, M. and Jennions, I. K. (2015) ‘A Carrier Signal Approach for Intermittent Fault Detection and Health Monitoring for Electronics Interconnections System’, International Journal of Advanced Computer Science and Applications (IJACSA), Volume 6, No. 12
  32. Uriondo, A., Esperon Miguez, M. and Perinpanayagam, S. (2015) ‘The Present and Future of Additive Manufacturing in the Aerospace Sector: A Review of Important Aspects’, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 28 January 2015, 0954410014568797
  33. Wileman, A. J. and Perinpanayagam, S. (2015) ‘Development of Prognostic Technique for Electromagnetic Relay Contacts’, Elsevier Journal on Microelectronics Reliability, Volume 55, Issue 9–10
  34. Samie, M., Perinpanayagam, S., Alghassi, A., Motlagh, M. and Kapetanios E. (2014) ‘Developing Prognostic Models Using Duality Principles for DC-to-DC Converters’, IEEE Transactions on Power Electronics, Volume 30, Issue 5
  35. Alghassi, A., Perinpanayagam, S., Samie, M. and Sreenuch, T. (2014) ‘Computationally-Efficient, Real-Time and Embeddable Prognostic Techniques for Power Electronics’, IEEE Transactions on Power Electronics, Volume 30, Issue 5
  36. Walker, R. B., Perinpanayagam, S. and Jennions, I. K. (2014) ‘Unbalance Localization Through Machine Nonlinearities Using an Artificial Neural Network Approach’, Mechanism and Machine Theory Articles, Elsevier, Volume 75, pages 54–66
  37. Samie, M., Motlagh, M., Alghassi, A., Perinpanayagam, S. and Kapetanios, E. (2014) ‘Principle of Duality in Prognostics’, International Journal of Advanced Computer Science and Applications (IJACSA), Volume 5, No. 4
  38. Sreenuch, T., Alghassi, A. and Perinpanayagam, S. (2014) ‘Probabilistic Monte-Carlo Method for Modelling and Prediction of Electronics Component Life’, International Journal of Advanced Computer Science and Applications (IJACSA), Volume 5, No. 1
  39. Wakil, A.S., Khan, K., Jennions, I. K and Perinpanayagam, S. (2014) ‘Study on Intermittent Faults and Electrical Continuity’, Procedia CIRP, Volume 22, pages 71–75
  40. Walker, R.B., Perinpanayagam, S. and Jennions, I. K. (2013) ‘Rotordynamic Faults: Recent Advances in Diagnosis and Prognosis’, International Journal of Rotating Machinery, Volume 2013, Article ID 856865, 12 pages
  41. Wakil, A.S., Khan, K., Phillips, P. and Perinpanayagam, S. (2013) ‘Intermittent Fault Finding Strategies’, Procedia CIRP, 11, pages 74–79
  42. Wileman, A. J. and Perinpanayagam, S. (2013) ‘Prognostic Health Management of a RF Transceiver Chain’, Procedia CIRP, Volume 11, pages 266–271
  43. Wileman, A. J. and Perinpanayagam, S. (2013) ‘Failure Mechanisms of Radar and RF Systems’, Procedia CIRP, Volume 11, pages 56–61
  44. Samie, M., Dragffy, G., Pipe, T. and Perinpanayagam, S. (2013) ‘Unicellular Self-Healing Electronic Array’, Procedia CIRP, Volume 11, pages 400–405

Conference Papers

  1. Cai C, Auger DJ, Perinpanayagam S (2023) ‘Enhanced online identification of battery models exploiting data richness’ 2023 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC), Venice, 29-31 March 2023
  2. Haroun El Mir, Stephen King, Martin Skote, and Suresh Perinpanayagam (2023), ‘Machine learning requirements for the airworthiness of structural health monitoring systems in aircraft’ 31st ICAF Symposium – Delft, 26-29 June 2023
  3. Sujitra Sutthithatip, Suresh Perinpanayagam and Sohaib Aslam (2022) ‘(Explainable) Artificial Intelligence in Aerospace Safety-Critical Systems’ 2022 IEEE Aerospace Conference, Yellowstone Conference Center, Big Sky, Montana, USA
  4. Choudhary, R. and Perinpanayagam, S. (2022) ‘Power Consumption Management System (PCMS) in Wired Networks Using Adaptive Genetic Algorithms’, 2022 IEEE Aerospace Conference, Yellowstone Conference Center, Big Sky, Montana, USA
  5. Shimizu, M., Perinpanayagam, S. and Namoano, B. (2022) ‘Real-Time Techniques for Fault Detection on Railway Door Systems’, 2022 IEEE Aerospace Conference, Yellowstone Conference Center, Big Sky, Montana, USA
  6. Sunil, J., Aslam, S., Perinpanayagam, S. and Wileman, A. (2022) ‘Finite Element Analysis of Si and SiC Power Modules for Accurate Reliability Assessment’, 2022 IEEE Aerospace Conference, Yellowstone Conference Center, Big Sky, Montana, USA
  7. Sujitra Sutthithatip, Suresh Perinpanayagam and Sohaib Aslam (2021) ‘Explainable AI in Aerospace for Enhanced System Performance’, Digital Avionics Systems Conference (DASC), 3–7 October 2021, San Antonio, Texas, USA
  8. Haroun El Mir and Suresh Perinpanayagam (2021) ‘Certification Approach for Physics Informed Machine Learning and its Application in Landing Gear Life Assessment’, Digital Avionics Systems Conference (DASC), 3–7 October 2021, San Antonio, Texas, USA
  9. Luning Li, Suresh Perinpanayagam and Andrew Wileman (2021) ‘Digital Twin in Aerospace Industry: The Concept, Applications and Challenges’, Virtual Conference on Applications of Statistical Methods and Machine Learning in the Space Sciences, 17–21 May 2021, Space Science Institute, Boulder, Colorado, USA
  10. Gouri Ramesh, Pablo Eduardo Garza and Suresh Perinpanayagam (2021) ’Digital Fault Simulation and Identification in an Electric Braking System’, Virtual Conference on Applications of Statistical Methods and Machine Learning in the Space Sciences, 17–21 May 2021, Space Science Institute, Boulder, Colorado, USA
  11. Sujitra Sutthithatip, Suresh Perinpanayagam and Sohaib Aslam (2021) ‘The Current Stage of AI in Aerospace Applications’, Virtual Conference on Applications of Statistical Methods and Machine Learning in the Space Sciences, 17–21 May 2021, Space Science Institute, Boulder, Colorado, USA
  12. Suresh Perinpanayagam and Haroun El Mir (2021) ‘Certification Approach for Physics-Informed Machine Learning and its Application in Landing Gear Life Assessment’, Virtual Conference on Applications of Statistical Methods and Machine Learning in the Space Sciences, 17–21 May 2021, Space Science Institute, Boulder, Colorado, USA
  13. Aslam, S., Perinpanayagam, P., Wileman, A. and Alghassi, A. (2020) ‘Power Drive Electronics Reliability in More Electric Aircraft’, 9th International Conference on Through-life Engineering Service, 3–4 November 2020, United Kingdom
  14. Choudhary, R., Perinpanayagam, S. and He, H. (2018) ‘Network Performance Analysis for CBM Implementation Based on OSA-CBM Framework’, 2018 IEEE Aerospace Conference, Yellowstone Conference Center, Big Sky, Montana, USA
  15. Tavakoli, S., Alghassi, A., Perinpanayagam, S. and Garcia, D.A. (2017) ‘Skill Development in the Wind Energy Sector: A Serious Game Development Approach’, IEEE Global Engineering Education Conference (EDUCON), 25–28 April 2017, Athens, Greece
  16. Cubillo, A., Perinpanayagam, S. and Esperon-Miguez, M. (2016) ‘Maintenance Optimization of an Aircraft Fleet Considering IVHM Based on Cost and Availability’, 3rd PHM European Conference, 5–8 July 2016, Bilbao, Spain
  17. Choudhary, R., Perinpanayagam, S. and Butans, E. (2016) ‘Design and Analysis of Communication Model for Implementation of CBM Systems Based on OSA-CBM Framework’, 2016 IEEE Aerospace Conference, Yellowstone Conference Center, Big Sky, Montana, USA
  18. Sebastian, R., Perinpanayagam, S., Jennions, I.K. and Alghassi, A. (2016) ‘Prognostic Reasoner Based Adaptive Power Management System for a More Electric Aircraft’, PHM Conference 2016, Denver, Colorado, USA
  19. A., Perinpanayagam, S., Rodriguez, M., Collantes, I. and Vermeulen, J. (2015) ‘Prognostics Health Management System Based on Hybrid Model to Predict Failures of a Planetary Gear Transmission’, ML4CPS Conference, Lemgo, Germany
  20. Cubillo, A., Perinpanayagam, S., Rodriguez, M., Collantes, I. and Vermeulen, J. (2015) ‘Physics-Based IVHM Systems for Predicting the RUL of an Aircraft Planetary Gear Transmission’, 5th EASN Conference, Manchester, United Kingdom
  21. Choudhary, R., Perinpanayagam, S. and Butans, E. (2015) ‘IVHM System Integration Network Performance Analysis using Different Middleware Technologies and Network Structure’, 10th International Conference on Systems, ICONS 2015, Barcelona, Spain
  22. Perinpanayagam S. (2015) ‘Effect of Uncertainties on the Health Monitoring of Aircraft Engines’, ASME 2015 Verification and Validation Symposium, Las Vegas, Nevada, USA
  23. Samie, M., Alghassi, A. and Perinpanayagam, S. (2015) ‘Unified IGBT Prognostic Using Natural Computation’, 2015 IEEE International Conference on Digital Signal Processing, Singapore
  24. Alghassi, A., Samie, M. and Perinpanayagam, S. (2015) ‘Reliability-Enhanced Powertrain Using Fuzzy Knowledge-Based Prognostics Model', 17th European Conference on Power Electronics and Applications (EPE), Geneva, Switzerland
  25. Alghassi, A., Samie, M. and Perinpanayagam, S. (2015) ‘Reliability-Enhanced Powertrain Using ANFIS-Based Prognostics Model’, 2015 IEEE International Conference on Prognostics and Health Management, Austin, Texas, USA
  26. Cubillo, A., Perinpanayagam, S. and Esperon-Miguez, M. (2014), ‘Multiphysics-Based Model for Prognostics in a Planetary Transmission’, PHM Texas Conference 2014 Doctoral Symposium
  27. Samie, M., Motlagh, M., Alghassi, A., Perinpanayagam, S. and Kapetanios E. (2014) ‘Realising Duality Principle for Prognostic Models‘, 9th International Multi-Conference on Computing in the Global Information Technology, Seville, Best Paper Award, http://www.iaria.org/conferences2014/AwardsICCGI14.html
  28. Samie, M., Perinpanayagam, S., Alghassi, A., Motlagh, M. and Kapetanios, E. (2014) ‘Reliability-Enhanced EV Using Pattern Recognition Techniques’, IEEE International Electric Vehicle Conference (IEVC), Florence, Italy
  29. Wileman, A. J. and Perinpanayagam, S. (2014) ‘A Prognostic Framework for Electromagnetic Relay Contacts’, 2nd European Conference on Prognostics and Health Management, Nantes, France
  30. Walker, R. B., Perinpanayagam, S. and Jennions, I. K. (2013) ‘Localizing Unbalance Faults in Rotating Machinery’, ASME Turbo Expo 2013: Turbine Technical Conference and Exposition (GT2013), San Antonio, Texas, USA
  31. Alghassi, A., Perinpanayagam, S. and Jennions, I. K. (2013) ‘Prognostic Capability Evaluation of Power Electronic Modules in Transportation Electrification and Vehicle Systems’, 15th European Conference on Power Electronics and Applications (EPE), Lille, France
  32. Alghassi, A., Perinpanayagam, S. and Jennions, I. K. (2013) ‘A Simple State-Based Prognostic Model for Predicting Remaining Useful Life of IGBT Power Module’, 15th European Conference on Power Electronics and Applications (EPE), Lille, France
  33. Walker, R. B., Perinpanayagam, S. and Jennions, I. K. (2012) ‘Localizing Common Faults for Improved Aero Engine Maintenance’, Proceedings of the ASME 2012 International Mechanical Engineering Conference and Exposition, IMECE 2012, Houston, Texas, USA
  34. Walker, R., Perinpanayagam, S. and Jennions, I. K. (2012) ‘Unbalance Localisation Using High-Fidelity Simulations’, 9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, London, United Kingdom
  35. Sirigineedi, G., Perinpanayagam, S. and Jennions, I. K. (2012) ‘Neural Network Based Classification of Unbalances in Rotating Machinery’, 9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies Conference, London, United Kingdom
  36. Walker, R. and Perinpanayagam, S. (2012) ‘Simulating Unbalance for Future IVHM Applications’, IMAC XXX A Conference and Exposition on Structural Dynamics, Florida, USA
  37. Walker, R. and Perinpanayagam, S. (2011) ‘Health Management of Rotating Machinery’, 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies Conference, Cardiff, UK
  38. Walker, R. and Perinpanayagam, S. (2011) ‘Physics-Based Simulation for Health Management of Rotating Machinery’, Prognostics and System Health Management Conference, Shenzhen, China
  39. Bhambra, J. and Perinpanayagam, S. (2011) ‘Health Management of Aircraft Avionics Using Digitally-Controlled PWM Circuits’, 2011 IEEE International Symposium on Diagnostics, Power Electronics and Drives (SDEMPED11), Bologna, Italy
  40. Samy, I., Fan, I-S and Perinpanayagam, S. (2010) ‘Fault Diagnosis of Rolling Element Bearings Using an EMRAN RBF Neural Network – Demonstrated Using Real Experimental Data’, International Conference on Systems and Informatics, China
  41. Perinpanayagam, S. (2007) ‘Sonic Inspection Techniques for In-Service Composite Aircraft Structure Inspection’, UK-Singapore Partners in Science Workshop – Aerospace Engineering: Challenges and Opportunities, Nanyang Technological University, Singapore
  42. Perinpanayagam, S. and Ewins, D. J. (2004) ‘Test Strategy for Component Modal Test for Model Validation’, International Conference on Noise and Vibration Engineering, Leuven, Belgium
  43. Perinpanayagam, S., Robb, D., Moreno Barragan, J. and Ewins, D. J. (2004) ‘Non-Linearities in an Aero-Engine Structure: From Test to Design’, International Conference on Noise and Vibration Engineering, Leuven, Belgium
  44. Perinpanayagam, S. and Ewins, D. J. (2004) ‘Testing Techniques for Identifying and Characterising Non-Linear Behaviour of an Aero-Engine Structure’, International Conference on Experimental Mechanics, Bari, Italy
  45. Gutierrez-Wing, E. S., Perinpanayagam, S. and Ewins, D. J. (2001) ‘Modal Test Planning for Rotating Machinery’, International Conference on Structural System Identification, University of Kassel, Germany
  46. Gutierrez-Wing, E. S., Perinpanayagam, S., Liu, W. and Ewins, D. J. (2001) ‘Identification of Two Close Modes of Vibration of the Garteur Test-Bed’, International Conference on Structural System Identification, University of Kassel, Germany
  47. Oakeshott, J. L., Gower, M., Perinpanayagam, S. and Matthews, F. L. (1996) ‘Development of Failure in Bolted Joints in Woven CFRP Laminates’, AGARD Conference Proceedings 590, Florence, Italy
  48. Oakeshott, J. L., Perinpanayagam, S. and Matthews, F. L. (1994) ‘Bearing Failure in a Woven Carbon Fibre/Epoxy Laminate’, 3rd International Conference on Composites, University of Surrey, United Kingdom

Research

Overview

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.

Available PhD research projects

Suresh is always happy to receive inquiries from potential PhD candidates. You can find some illustrative prospects below:

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.

Teaching

Undergraduate

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.

External activities

Memberships

  • Suresh is a member of the EPSRC Peer Review College. He has reviewed several proposals from First Grants to multi-million pound projects in the last five years.

IndustrIAl StandardS Development

  • Suresh is a member of the working group developing the IEEE Standard for Prognostics and Health Management.
  • Suresh is a member of the DSTL working committee for Qualification and Certification of Additive Manufacturing Parts in Military Aviation.
  • Suresh has worked with the National Microelectronics Institute (NMI) on a white paper on electrical drives.
  • Suresh has worked with IET on Automotive Cyber Security Thought Leadership on a joint report with the Knowledge Transfer Partnership on Automotive Cyber Security, looking at the risks and benefits of connected vehicles.
  • Suresh is a Technical Advisory Board member of Intyalheme Centre for Future Energy in Alice Springs, Australia.

Organisation of conferences

  • Joint organiser of the IEEE International Symposium on Diagnostics for Electric Machines and Drives, Toulouse, 2017.
  • Organising Committee member for the 4th International Through-life Engineering Services Conference, Cranfield, 2015.
  • Organised a workshop with NMI and Innovate UK on Systems for Harsh Environments in Cranfield University on 27 January 2014. This event was attended by sixty participants.
  • Session chair, 3rd International Through-life Engineering Services Conference, Cranfield, 2014.
  • Organised a symposium on the ‘Challenges with Qualification and Through-Life Management of Aerospace Systems’ in Cranfield University on 11 June 2013. This event was attended by several industrial partners.
  • Session chair on Power Electronics Health Management, IEEE International Symposium on Diagnostics for Machines and Drives, Valencia, Spain, 2013.
  • Steering Committee member for the First European Conference on Prognostics and Health Management, Dresden, Germany, 2012.

Tutorials

  • Suresh gave a tutorial organised by IEEE on System Prognostics at the 2015 European Symposium on Reliability of Electronic Devices, Failure Physics and Analysis.

Invited Lectures

  • ‘Integrated Vehicle Health Management and Future’, Invited Talk, Department of Energy Technology, Aalborg University, Denmark, 16 May 2019.
  • ‘Prognostics and Health Management of Hybrid Powertrains’, Invited Talk, FPC 2016, Future Powertrain Conference, National Motorcycle Museum, Solihull, UK,
    25 February 2016.
  • ‘Additive Manufacturing for Future Repair and Maintenance in the Aviation Industry’, Invited Talk, EuroMold 2014, Frankfurt, Germany, 25–28 November 2014.
  • ‘Prognostic and Health Management of Aircraft Electronics/Power Electronics’, Invited Talk, Reliability Symposium, Department of Energy Technology, Aalborg University, Denmark, 19 November 2014.
  • ‘Merging Additive Manufacturing and Integrated Vehicle Health Management’, Invited Talk, Airtech Congress 2014, Conference, Frankfurt, Germany, 3–5 November 2014.
  • ‘Electronics Prognostics’, Invited Talk, NMI Event on Preventing Failure: From Defence to Consumer, National Physical Laboratory, Teddington, United Kingdom, 4 October 2012.
  • ‘Emerging NDT Techniques for Aircraft Structure Inspection’, Invited Lecture,
    Non-Destructive Testing Society (Singapore), 2007.

External examiner of doctoral theses

  • PhD – Greenwich University, August 2022
  • PhD – Bradford University, December 2021
  • PhD – Cranfield University, December 2021
  • PhD – Aalborg University, December 2020
  • PhD – Aalborg University, September 2019
  • PhD – Aalborg University, March 2019
  • PhD – Aalborg University, June 2017
  • PhD – University of Toulouse, November 2016
  • PhD – Politecnico Di Milano, Milan, Italy, October 2016
  • PhD – Aalborg University, November 2015
  • PhD – Universitat Politécnica de Catalunya, Spain, July 2014
  • PhD – Cranfield University, March 2012

Editorial duties

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:

  • IEEE Transaction on Industrial Electronics
  • IEEE Transactions on Power Electronics
  • IEEE Transactions on Reliability
  • Prognostics and Health Management Society
  • IEEE International Conference on Prognostics and Health Management
  • IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives

Contact details

Dr Suresh Perinpanayagam
Professor of Engineering
School of Physics, Engineering and Technology
University of York
Heslington
York
YO10 5DD