Raja Sekhar Battu

Raja Sekhar Battu

Dr

 https://orcid.org/0000-0001-6024-6908

Personal profile

Research profile

Raja Sekhar Battu is currently working as a Postdoctoral Researcher at the Faculty of Aerospace Engineering, TU Delft, Netherlands, where he is contributing to the Reliablade2 project. His work focuses on the development of hybrid modelling frameworks that integrate experimental data and finite element simulations for damage detection and remaining useful life (RUL) prediction in composite wind turbine blades.

He holds a Ph.D. in Engineering from the University of Exeter, UK, where his research, under the supervision of Dr. Evangelos Papatheou, focused on vibration-based Structural Health Monitoring (SHM) using pattern recognition and machine learning techniques.

He earned his Master of Technology in Aerospace Engineering from the Indian Institute of Technology (IIT) Kharagpur, India, with a thesis focused on the design and structural analysis of a fully composite aircraft wing using finite element modelling in ANSYS.

Research interests

Structural Health Monitoring, Composite Structures, Structural Dynamics, Hybrid Modelling, Wind Turbine Blades, Machine Learning for Damage Detection, Aerospace Structures

Education/Academic qualification

Doctorate, On the use of numerical models for training supervised learning algorithms for SHM, University of Exeter

1 Nov 2019 → 29 Oct 2024

Award Date: 26 Oct 2024

Master's degree, Design and structural analysis of a fully composite aircraft wing using finite element modelling in ANSYS., Indian Institute of Technology Kharagpur

20 Jul 2015 → 8 Aug 2017

Award Date: 8 Aug 2017

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  • 4 Conference contribution
  • 1 Article

  • Combining transfer learning and numerical modelling to deal with the lack of training data in data-based SHM

    Battu, R. S., Agathos, K., Londoño Monsalve, J. M., Worden, K. & Papatheou, E., 2025, In: Journal of Sound and Vibration. 595, 22 p., 118710.

    Research output: Contribution to journal › Article › Scientific › peer-review

  • On the use of synthetic data for SHM: a short investigation on a laboratory structure

    Papatheou, E., Manson, G., Battu, R. S., Worden, K. & Tsialiamanis, G., 2024, Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics. Desmet, W., Pluymers, B., Moens, D. & del Fresno Zarza, J. (eds.). Katholieke Universiteit Leuven, p. 3369-3376 8 p. (Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • Enhancing Structural Health Monitoring with Machine Learning and Data Surrogates: A TCA-Based Approach for Damage Detection and Localisation

    Battu, R. S., Agathos, K. & Papatheou, E., 2023, Structural Health Monitoring 2023: Designing SHM for Sustainability, Maintainability, and Reliability - Proceedings of the 14th International Workshop on Structural Health Monitoring. Farhangdoust, S., Guemes, A. & Chang, F-K. (eds.). Destech publications, p. 2854-2861 8 p. (Structural Health Monitoring 2023: Designing SHM for Sustainability, Maintainability, and Reliability - Proceedings of the 14th International Workshop on Structural Health Monitoring).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • Robust training databases for supervised learning algorithms in structural health monitoring applications

    Battu, R. S., Agathos, K., Smith, C. & Papatheou, E., 2022, Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics. Desmet, W., Pluymers, B., Moens, D. & Neeckx, S. (eds.). Katholieke Universiteit Leuven, p. 3671-3681 11 p. (Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • Virtual sensing for SHM: a comparison between Kalman filters and Gaussian processes

    Papatheou, E., Tatsis, K. E., Battu, R. S., Agathos, K., Haywood-Alexander, M., Chatzi, E., Dervilis, N. & Worden, K., 2022, Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics. Desmet, W., Pluymers, B., Moens, D. & Neeckx, S. (eds.). Katholieke Universiteit Leuven, p. 3792-3803 12 p. (Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review