Teacher
Elói João Faria Figueiredo

Elói João Faria Figueiredo
Nome Completo:
Elói João Faria Figueiredo
elo***@ulusofona.pt
BC11-6963-9ECF
0000-0002-9168-6903

Resume

Habilitation (2022) and PhD in Civil Engineering (2010), MSc in Structures of Civil Engineering (2007), and Licentiate in Civil Engineering (2004). Eloi started teaching in 2010 at the Catholic University of Portugal and currently is Full Professor and Head of the Civil Engineering Program at the Faculty of Engineering of the Lusófona University in Lisbon (Portugal). He is also integrated member of Construct ¿ Institute of R&D in Structures and Construction, and consultant in the field of monitoring and management of bridges. Eloi has dedicated his academic career teaching courses in the field of static and dynamic structural analysis, seismic engineering, and design of reinforced and prestressed concrete structures. In terms of scientific research, he has worked mainly on Structural Health Monitoring (SHM) and management of bridges, with focus on vibration-based damage identification based on finite element modeling and machine learning techniques. Recently, he has been award with EEA Grant to study the impact of climate change on the structural health of bridges. In terms of publications, Eloi has over 100 publications on SHM through books, book chapters, peer-reviewed journals and conference proceedings; and over 50 publications of opinion articles to promote science in our society. He was also invited, for several occasions, to be speaker in conferences, seminars, and international meetings. The scientific research has been done in collaboration with several institutions, namely the Los Alamos National Laboratory (USA), the University of California in San Diego (USA), the University of Sheffield (UK), the Universidade Federal do Pará (Belém, Brazil), Universidade Estadual Paulista (Ilha Solteira, Brazil), Instituto Superior Técnico (Portugal), Technical University of Cluj-Napoca (Romania), Oslo Metropolitan University (Norway), and the Laboratório Nacional de Engenharia Civil (Portugal).

Graus

  • Licenciatura
    Licenciatura em Engenharia Civil
  • Mestrado
    Masters of Science in Structures of Civil Engineering
  • Doutoramento
    Doctor of Philosophy in Civil Engineering
  • Título de Agregado
    Engenharia Civil

Publicações

Artigo em revista

  • 2022-03, 3D structural vibration identification from dynamic point clouds, Mechanical Systems and Signal Processing
  • 2022-02, Investigation on the dynamic impact factor of a concrete filled steel tube butterfly arch bridge, Engineering Structures
  • 2021-02-23, Damage-sensitive feature extraction with stacked autoencoders for unsupervised damage detection, Structural Control and Health Monitoring
  • 2021-01, Autoregressive model extrapolation using cubic splines for damage progression analysis, Journal of the Brazilian Society of Mechanical Sciences and Engineering
  • 2020-11, Nonnegative matrix factorization-based blind source separation for full-field and high-resolution modal identification from video, Journal of Sound and Vibration
  • 2020-05, Spatio-temporal decomposition of 2D travelling waves from video measurements, Mechanical Systems and Signal Processing
  • 2019-11, Deep principal component analysis: An enhanced approach for structural damage identification, Structural Health Monitoring
  • 2019-07, Finite Element–Based Machine-Learning Approach to Detect Damage in Bridges under Operational and Environmental Variations, Journal of Bridge Engineering
  • 2019, Output-only structural damage detection based on transmissibility measurements and kernel principal component analysis, Journal of Communication and Information Systems
  • 2017-08, Agglomerative concentric hypersphere clustering applied to structural damage detection, Mechanical Systems and Signal Processing
  • 2017-04, A Global Expectation–Maximization Approach Based on Memetic Algorithm for Vibration-Based Structural Damage Detection, IEEE Transactions on Instrumentation and Measurement
  • 2017-03, Genetic-based EM algorithm to improve the robustness of Gaussian mixture models for damage detection in bridges, Structural Control and Health Monitoring
  • 2016-09, A global expectation-maximization based on memetic swarm optimization for structural damage detection, Structural Health Monitoring: An International Journal
  • 2016, Machine learning algorithms for damage detection: Kernel-based approaches, Journal of Sound and Vibration
  • 2016, A novel unsupervised approach based on a genetic algorithm for structural damage detection in bridges, Engineering Applications of Artificial Intelligence
  • 2015, Single side damage simulations and detection in beam-like structures, Journal of Physics: Conference Series
  • 2015, Damage detection in structures using a transmissibility-based Mahalanobis distance, Structural Control and Health Monitoring
  • 2015, Damage detection and quantification using transmissibility coherence analysis, Shock and Vibration
  • 2014, An evaluation of a methodology for detection, localization, and quantification of changes in nonlinear systems based on experimental measurements, Ingegneria Sismica
  • 2014, A Bayesian approach based on a Markov-chain Monte Carlo method for damage detection under unknown sources of variability, Engineering Structures
  • 2013, Linear approaches to modeling nonlinearities in long-term monitoring of bridges, Journal of Civil Structural Health Monitoring
  • 2012, Use of time-series predictive models for piezoelectric active-sensing in structural health monitoring applications, Journal of Vibration and Acoustics, Transactions of the ASME
  • 2011, Machine learning algorithms for damage detection under operational and environmental variability, Structural Health Monitoring
  • 2011, Integration of SHM into bridge management systems: Case study-Z24 bridge, Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring
  • 2011, Influence of the autoregressive model order on damage detection, Computer-Aided Civil and Infrastructure Engineering
  • 2010, Autoregressive modeling with state-space embedding vectors for damage detection under operational variability, International Journal of Engineering Science
  • 2010, Autoregressive modeling with state-space embedding vectors for damage detection under operational and environmental variability, Proceedings of the 5th European Workshop - Structural Health Monitoring 2010
  • 2010, An experimental investigation of change detection in uncertain chain-like systems, Journal of Sound and Vibration
  • 2010, A structural decomposition approach for detecting, locating, and quantifying nonlinearities in chain-like systems, Structural Control and Health Monitoring
  • 2009, A mobile-agent-based wireless sensing network for structural monitoring applications, Measurement Science and Technology
  • 2008, Data normalization and nonlinear damage identification using auto-associative neural networks and factor analysis, Proceedings of the 4th European Workshop on Structural Health Monitoring
  • 2008, A mobile-agent based wireless sensing network for structural health monitoring applications, Materials Forum
  • 2007, An insight on the influence of damping in seismic isolation, Proceedings of the 11th International Conference on Civil, Structural and Environmental Engineering Computing, Civil-Comp 2007

Livro

  • 2020, Engenharia Civil: Uma perspetiva sobre a formação e a profissão, Carlos Matias Ramos; Figueiredo, Eloi, Edições Universitárias Lusófonas
  • 2019, Data Mining in Structural Dynamic Analysis, Figueiredo, Eloi

Capítulo de livro

  • 2020, Damage Quantification in Composite Structures Using Autoregressive Models
  • 2018, Machine Learning Algorithms for Damage Detection

Tese / Dissertação

  • 2019, Mestrado, Dimensionamento de um muro cais para os Açores
  • 2018, Mestrado, Reconhecimento de padrões estruturais, construtivos e materiais nas Pontes da Casa Eiffel em Portugal
  • 2018, Mestrado, Estruturas mistas de aço-betão e de betão armado em edifícios correntes : dimensionamento e custo
  • 2018, Mestrado, Deteção de dano em pontes integrando algoritmos de aprendizagem, modelos de elementos finitos e dados da monitorização estrutural
  • 2018, Mestrado, Caraterização e análise sísmica da passagem superior do Campo Grande
  • 2017, Mestrado, Estudo do comportamento dos materiais lateríticos em pavimentos rodoviários
  • 2017, Mestrado, Aplicação de algoritmos de aprendizagem para apoiar o processo de gestão das pontes em Angola
  • 2017, Mestrado, Análise de soluções de reforço de estruturas de betão armado
  • 2017, Doutoramento, Output-only methods for damage identification in structural health monitoring
  • 2016, Mestrado, Estudo sobre a influência das paredes de alvenaria num edifício alto em Belém do Pará
  • 2016, Mestrado, Estudo comparativo da regulamentação de segurança e ações nacional com os eurocódigos estruturais através de esforços internos num viaduto
  • 2014, Mestrado, Dimensionamento de pontes rodoviárias de betão armado e pré-esforçado : análise da regulamentação nacional e europeia
  • 2012, Mestrado, Applicability of the Statistical Pattern Recognition Paradigm for Structural Health Monitoring of Bridges
  • 2010, Doutoramento, Damage identification in civil engineering infrastructure under operational and environmental conditions
  • 2006, Mestrado, Monitorização e avaliação do comportamento de obras de arte

Artigo em conferência

  • 2015, Clustering studies for damage detection in bridges: A comparison study
  • 2015, Applicability of linear and nonlinear principal component analysis for damage detection
  • 2014, Transmissibility-based damage detection using linear discriminant analysis
  • 2013, Structural condition assessment of bridges: Past, present, and future - A Portuguese perspective
  • 2012, Application of modal filters for damage detection in the presence of non-linearities
  • 2012, Applicability of a Markov-chain Monte Carlo method for damage detection on data from the Z-24 and Tamar suspension bridges
  • 2010, Time series predictive models of piezoelectric active-sensing for SHM applications
  • 2010, SHMTools: A new embeddable software package for SHM applications
  • 2010, Machine learning algorithms to damage detection under operational and environmental variability
  • 2009, Structural health monitoring algorithm comparisons using standard data sets
  • 2009, A mobile agent-based wireless sensing network for SHM-field study at the Alamos Canyon Bridge

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