Members

João Paulo Alves Ribeiro

Category
Research Fellow
Organic Unit
Department of Mechanical Engineering
Ciência ID
AA1D-053B-C4E3
ORCID iD
0000-0002-7557-7002

João Paulo Alves Ribeiro. Completed the Mestrado Integrado in Mechanical Engineering in 2020 by Universidade do Porto, Faculdade de Engenharia. Is a PhD candidate in Mechanical Engineering within the MIT Portugal Program, affiliated with Universidade do Porto, Faculdade de Engenharia and the Massachusetts Institute of Technology (expected 2026), specializing in the application of Artificial Intelligence to engineering design and optimization problems, with application in the Energy Sector, particularly Floating Offshore Wind and Power Transmission, and Manufacturing. Was Visiting PhD Student at MIT (2022, 2024–2025) and TU Delft (2023). Is Researcher at Universidade de Aveiro and Visiting Researcher at MIT. Was Invited Assistant Professor at Universidade do Porto, Faculdade de Engenharia. Published 6 articles in journals and 5 conference papers. Contributed 1 open-source software framework and 1 public dataset.

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  • 0
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Fundings

Publications

  • FLOAT: Fatigue-Aware Design Optimization of Floating Offshore Wind Turbine Towers

    Bruno M.A. Ribeiro; F C N Q Pimenta; João A. Ribeiro; Tavares, Sérgio
    2026

  • Benchmarking is Broken - Don't Let AI be Its Own Judge

    João A. Ribeiro
    NeurIPS 2025 | 2025

  • Offshore wind turbine tower design and optimization: A review and AI-driven future directions

    Ahmed, Faez; Alves Ribeiro, Bruno; João A. Ribeiro; M.O. Tavares, Sérgio; Pimenta, Francisco; Zhang, Jie
    Applied Energy | 2025

    https://doi.org/10.1016/j.apenergy.2025.126294

  • ML-Optimization Steel Structure: Offshore Wind Turbine

    Bruno M.A. Ribeiro; F C N Q Pimenta; João A. Ribeiro; Tavares, Sérgio
    DTE - AICOMAS 2025 | 2025

  • AI-Driven Design Optimization of Offshore Wind Turbine Towers: Unlocking the Path to Upscaling

    Bruno M.A. Ribeiro; F C N Q Pimenta; João A. Ribeiro; Tavares, Sérgio
    MIT Portugal Annual Conference 2024 | 2024

  • Structural Assessment Based on Computational Models and Digital Twin Technologies

    de Castro, Paulo; João A. Ribeiro; Tavares, Sérgio
    Transport Means 2024 | 2024

  • Aircraft Structural Design and Life-Cycle Assessment through Digital Twins

    de Castro, Paulo M. S. T.; Ribeiro, Bruno A.; Ribeiro, João A.; Tavares, Sergio M. O.
    Designs | 2024

    https://doi.org/10.3390/designs8020029

  • Aircraft Structures Life-cycle Simulation through Digital Twins and Model Updating Techniques

    de Castro, Paulo; João A. Ribeiro; Tavares, Sérgio
    CILAMCE-2023 | 2023

  • Advancing Structural Design with Machine Learning: Stress Field Prediction in Plates with Cutouts

    Bruno M.A. Ribeiro; João A. Ribeiro; Tavares, Sérgio
    CILAMCE-2023 | 2023

  • Graphs or Subgraphs? A Comparative Analysis of Graph Neural Networks for Stress Prediction

    Bruno M.A. Ribeiro; João A. Ribeiro; Tavares, Sérgio
    USNCCM17 | 2023

  • SimuStruct: Simulated Structural Plate with Holes Dataset for Machine Learning Applications

    Bruno M.A. Ribeiro; João A. Ribeiro; Tavares, Sérgio
    ICLR 2023 | 2023

  • Effectiveness of Exercise-Based Cardiac Rehabilitation for Heart Transplant Recipients: A Systematic Review and Meta-Analysis

    Azevedo, Luís Filipe; Costa, Rúben; Moreira, Emília; Pinto, Roberto; Ribeiro, João Alves; Silva Cardoso, José
    Health Services Insights | 2023

    https://doi.org/10.1177/11786329231161482

  • Machine learning for structural numerical modeling: calibration, validation and updating

    João P.A. Ribeiro
    12th EASN International Conference on "Innovation in Aviation & Space for opening New Horizons" | 2022

  • SimuStruct: Simulated Structural Plate with Holes Dataset with Machine Learning Application

    João P.A. Ribeiro
    2022 MIT Portugal Conference | 2022

  • Surrogate modeling of structural details - Plate with Holes Dataset

    João P.A. Ribeiro
    5th Meeting of the Young Researchers of LAETA | 2022

  • NeuroStruct: Machine Learning in Structural Design

    João P.A. Ribeiro
    2021 MIT Portugal Annual Conference | 2021

  • Computational structural analysis using artificial neural networks

    João P.A. Ribeiro
    4th Doctoral Congress in Engineering – DCE2 | 2021

  • Artificial Neural Networks Applied in Mechanical Structural Design

    Ribeiro, João; Sérgio Manuel Oliveira Tavares
    Journal of Computation and Artificial Intelligence in Mechanics and Biomechanics | 2021

    https://www.researchgate.net/profile/Joao-Ribeiro-42/publication/350735555_Artificial_Neural_Networ…

  • Stress-Strain evaluation of structural parts using artificial neural networks

    Parente, Marco; Ribeiro, João PA; Tavares, Sérgio MO
    Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications | 2021

    http://dx.doi.org/10.1177/1464420721992445

  • Stress-strain Evaluation of Structural Parts Using Artificial Neural Networks

    Ribeiro, JPA
    MDA 2020: The 3rd International Conference on Materials Design and Applications 2020 | 2020

  • Reduced Order Models in Structural Analysis of Power Transformers. Artificial Neural Networks and Response Surface Models.

    Ribeiro, João
    Universidade do Porto Faculdade de Engenharia | 2020

    https://sigarra.up.pt/feup/pt/ESTAGIOS_ALUNOS.ENTRADA?p_aluno_id=123269

  • Computer Modeling and Simulation as a Source of Prior Information in Clinical Trials of Meshes for Pelvic Dysfunction

    João P.A. Ribeiro
    12th ISPP Annual Congress PELVIC FLOOR DISORDERS: CURRENT STATUS TECHNOLOGICAL ADVANCES AND PERSPECTIVES | 2019

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