Professor Nikolaos Dervilis

BSc, MSc, PhD

Department of Mechanical Engineering

Professor

Dr Nikolaos Dervilis
Profile picture of Dr Nikolaos Dervilis
n.dervilis@sheffield.ac.uk
+44 114 222 7816

Full contact details

Professor Nikolaos Dervilis
Department of Mechanical Engineering
Room D224, Central Wing
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
Profile

Nikolaos Dervilis is a Professor in the Department of Mechanical Engineering at the University of Sheffield and a member of the Dynamics Research Group (DRG). He studied physics in the National and Kapodistrian University of Athens. Later, he obtained his MSc in Sustainable and Renewable Energy Systems from the University of Edinburgh in the Department of Electronics and Electrical Engineering. He obtained his PhD from the University of Sheffield, Mechanical Engineering Department in the field of machine learning for Structural Health Monitoring (SHM). His expertise focuses on SHM, pattern recognition, data analysis and nonlinear dynamics. He is especially engaged with renewable energy research, particularly wind turbine farms.

Research interests

Nikolaos’s current research interests include:

  • Structural Health Monitoring (SHM): machine learning and pattern recognition techniques for data analysis, structural damage characterisation and non-destructive evaluation methods.
  • Onshore and offshore wind farms, sustainable energy systems.
  • Data analysis and information learning tools.
  • Nonlinear dynamics and advanced signal processing.
Publications

Journal articles

Chapters

Conference proceedings papers

Presentations

Preprints

  • Kamariotis A, Chatzi E, Straub D, Dervilis N, Goebel K, Hughes AJ, Lombaert G, Papadimitriou C, Papakonstantinou KG, Pozzi M , Todd M et al (2024) Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems, arXiv. RIS download Bibtex download
  • Hughes AJ, Poole J, Dervilis N, Gardner P & Worden K (2023) Quantifying the value of information transfer in population-based SHM, arXiv. RIS download Bibtex download
  • Clarkson DR, Bull LA, Dardeno TA, Wickramarachchi CT, Cross EJ, Rogers TJ, Worden K, Dervilis N & Hughes AJ (2023) Sharing Information Between Machine Tools to Improve Surface Finish Forecasting, arXiv. RIS download Bibtex download
  • Tsialiamanis G, Dervilis N, Wagg DJ & Worden K (2023) Towards a population-informed approach to the definition of data-driven models for structural dynamics, arXiv. RIS download Bibtex download
  • Hughes AJ, Poole J, Dervilis N, Gardner P & Worden K (2023) A decision framework for selecting information-transfer strategies in population-based SHM, arXiv. RIS download Bibtex download
  • Dardeno TA, Mills RS, Dervilis N, Worden K & Bull LA (2023) On the hierarchical Bayesian modelling of frequency response functions. RIS download Bibtex download
  • Bee S, Bull L, Dervilis N & Worden K (2023) When is an SHM problem a Multi-Task-Learning problem?, arXiv. RIS download Bibtex download
  • Simpson T, Vlachas K, Garland A, Dervilis N & Chatzi E (2023) VpROM: A novel Variational AutoEncoder-boosted Reduced Order Model for the treatment of parametric dependencies in nonlinear systems, arXiv. RIS download Bibtex download
  • Bee SC, Papatheou E, Haywood-Alexander M, Mills RS, Bull LA, Worden K & Dervilis N (2023) Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets, arXiv. RIS download Bibtex download
  • Tsialiamanis G, Dervilis N, Wagg DJ & Worden K (2023) A Meta-Learning Approach to Population-Based Modelling of Structures. RIS download Bibtex download
  • Tsialiamanis G, Dervilis N, Wagg DJ & Worden K (2023) Towards a Population-Informed Approach to the Definition of Data-Driven Models for Structural Dynamics, Elsevier BV. RIS download Bibtex download
  • Gowdridge T, Dervilis N & Worden K (2022) On the application of the generating series for nonlinear systems with polynomial stiffness, arXiv. RIS download Bibtex download
  • Gowdridge T, Dervilis N & Worden K (2022) On topological data analysis for structural dynamics: an introduction to persistent homology, arXiv. RIS download Bibtex download
  • Gowdridge T, Dervilis N & Worden K (2022) On the application of topological data analysis: a Z24 Bridge case study. RIS download Bibtex download
  • Gowdridge T, Cross E, Dervilis N & Worden K (2022) A topological analysis of cointegrated data: a Z24 Bridge case study, arXiv. RIS download Bibtex download
  • Haywood-Alexander M, Dervilis N, Worden K, Mills RS, Ladpli P & Rogers TJ (2022) A Bayesian Method for Material Identification of Composite Plates via Dispersion Curves, arXiv. RIS download Bibtex download
  • Tsialiamanis G, Wagg D, Dervilis N & Worden K (2022) On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation. RIS download Bibtex download
  • Hughes AJ, Bull LA, Gardner P, Dervilis N & Worden K (2022) Mitigating sampling bias in risk-based active learning via an EM algorithm. RIS download Bibtex download
  • Hughes AJ, Gardner P, Bull LA, Dervilis N & Worden K (2022) Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers. RIS download Bibtex download
  • Dardeno TA, Bull LA, Dervilis N & Worden K (2022) A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes. RIS download Bibtex download
  • Poole J, Gardner P, Dervilis N, Bull L & Worden K (2022) On statistic alignment for domain adaptation in structural health monitoring. RIS download Bibtex download
  • Haywood-Alexander M, Dervilis N, Worden K, Dobie G & Rogers TJ (2022) Informative Bayesian Tools for Damage Localisation by Decomposition of Lamb Wave Signals. RIS download Bibtex download
  • Lindley CA, Beamish S, Dwyer-Joyce R, Dervilis N & Worden K (2022) A Bayesian Approach for Shaft Centre Localisation in Journal Bearings. RIS download Bibtex download
  • Dardeno TA, Bull LA, Mills RS, Dervilis N & Worden K (2022) Modelling variability in vibration-based PBSHM via a generalised population form, arXiv. RIS download Bibtex download
  • Tsialiamanis G, Wagg DJ, Dervilis N & Worden K (2022) On generative models as the basis for digital twins, arXiv. RIS download Bibtex download
  • Tsialiamanis G, Wagg DJ, Gardner PA, Dervilis N & Worden K (2022) On partitioning of an SHM problem and parallels with transfer learning. RIS download Bibtex download
  • Tsialiamanis G, Wagg DJ, Dervilis N & Worden K (2022) On generating parametrised structural data using conditional generative adversarial networks. RIS download Bibtex download
  • Tsialiamanis G, Mylonas C, Chatzi E, Wagg DJ, Dervilis N & Worden K (2022) On an application of graph neural networks in population based SHM. RIS download Bibtex download
  • Simpson T, Dervilis N, Couturier P, Maljaars N & Chatzi E (2022) Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects via LSTM and Autoencoder Neural Networks. RIS download Bibtex download
  • Tsialiamanis G, Champneys MD, Dervilis N, Wagg DJ & Worden K (2022) On the application of generative adversarial networks for nonlinear modal analysis. RIS download Bibtex download
  • Hughes AJ, Bull LA, Gardner P, Dervilis N & Worden K (2022) On robust risk-based active-learning algorithms for enhanced decision support, arXiv. View this article in WRRO RIS download Bibtex download
  • Bull LA, Gardner PA, Rogers TJ, Dervilis N, Cross EJ, Papatheou E, Maguire AE, Campos C & Worden K (2021) Bayesian Modelling of Multivalued Power Curves from an Operational Wind Farm, arXiv. RIS download Bibtex download
  • Simpson T, Dervilis N & Chatzi E (2021) Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks, arXiv. RIS download Bibtex download
  • Hughes AJ, Bull LA, Gardner P, Barthorpe RJ, Dervilis N & Worden K (2021) On risk-based active learning for structural health monitoring, arXiv. RIS download Bibtex download
  • Tsialiamanis G, Mylonas C, Chatzi E, Dervilis N, Wagg DJ & Worden K (2021) Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces, arXiv. RIS download Bibtex download
  • Bull LA, Gardner P, Rogers TJ, Cross EJ, Dervilis N & Worden K (2021) Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data, arXiv. RIS download Bibtex download
  • Chandrasekhar K, Stevanovic N, Cross EJ, Dervilis N & Worden K (2021) Damage detection in operational wind turbine blades using a new approach based on machine learning, arXiv. RIS download Bibtex download
  • Haywood-Alexander M, Dervilis N, Worden K, Cross EJ, Mills RS & Rogers TJ (2021) Structured Machine Learning Tools for Modelling Characteristics of Guided Waves, arXiv. RIS download Bibtex download
  • Hughes AJ, Barthorpe RJ, Dervilis N, Farrar CR & Worden K (2021) A probabilistic risk-based decision framework for structural health monitoring, arXiv. RIS download Bibtex download
  • Simpson T, Dervilis N & Chatzi E (2020) On the use of Nonlinear Normal Modes for Nonlinear Reduced Order Modelling, arXiv. RIS download Bibtex download
  • Haywood-Alexander M, Dervilis N, Worden K, Mills RS & Rogers TJ () A Bayesian Method for Material Identification of Composite Plates Via Dispersion Curves. RIS download Bibtex download