Members

Diogo Filipe Duarte Costa

Category
Research Fellow
Organic Unit
Departamento de Matemática
Email
d.costa@ua.pt
Ciência ID
9F13-B7C6-FBFE
ORCID iD
0000-0002-4995-0539

Ph.D. in Mechanical Engineering (2025) and Integrated Master’s (2020) from the University of Aveiro, where he also served as a Teaching Assistant in the Department of Mathematics. Currently holds a Post-Doctoral research grant within the ILLIANCE industrial R&D project, continuing a sustained track record of engagement in large-scale industrial cooperation projects. He has played research roles in both the ILLIANCE and Augmented Humanity projects (PhD Fellow), contributing to the development of advanced industrial automation systems. His main research focus is Automation, with particular emphasis on Industrial IoT and Machine Learning applications in manufacturing contexts. He has published seven journal articles, three conference articles, and one book chapter, and has received three academic awards. His work often explores themes such as Edge Computing, Computer Vision, Machine Learning, Artificial Intelligence, Predictive Maintenance, and Industry 4.0/5.0.

  • 0
    fundings
  • 0
    publications

Fundings

Publications

  • A Parametric Information-gain to Improve Online Tree-based Machine Learning Models

    Bruno Veloso; Diogo Costa; Eugénio M. Rocha; Vasco Vieira Costa
    2026

    https://doi.org/10.2139/ssrn.6442025

  • Enhancing Conformal Prediction Efficiency via Multiscale Impurity Analysis: A Complexity-Aware Non-Conformity Function

    Diogo Costa; Eugénio M. Rocha; Vasco Vieira Costa
    2026

    https://doi.org/10.2139/ssrn.6880624

  • Complexity-Aware Conformal Classification for Timely Industrial Fault Prediction

    Costa, Diogo; Costa, Vasco; E.M. Rocha
    Data-Driven Innovation in the Industry (DII26) | 2026

  • A Data-Driven Framework for Early Sequential Feature Selection using Belief Propagation

    Costa, Diogo; E.M. Rocha; Martins, Joana
    Data-Driven Innovation in the Industry (DII26) | 2026

  • A Parametric Information-Gain Framework for Streaming Fault Prediction in Assembly Lines

    Costa, Diogo; Costa, Vasco; E.M. Rocha
    Data-Driven Innovation in the Industry (DII26) | 2026

  • Edge-Deployed Computer Vision for Glove-Aware Assembly Validation in Industrial Environments

    Costa, Diogo; E.M. Rocha; Pereira, Diogo
    Data-Driven Innovation in the Industry (DII26) | 2026

  • A new parametric information-gain criterion for tree-based machine learning algorithms

    Costa, Diogo; Costa, Vasco Vieira; Rocha, Eugénio
    PeerJ Computer Science | 2025

    https://doi.org/10.7717/peerj-cs.3319

  • Low-cost and non-intrusive human digital twin component for task and navigation tracking through pose estimation

    Brochado, Ângela F.; Costa, Diogo; Pereira, Diogo; Rocha, Eugénio M.
    CIRP Journal of Manufacturing Science and Technology | 2025

    https://doi.org/10.1016/j.cirpj.2025.05.012

  • Edge-enabled distributed digital twins with embedded intelligence for smart aquaculture systems

    Carlos Marques; Diogo Costa; Eugénio M Rocha; Maria M Rocha; Vasco Costa
    Journal of Ambient Intelligence and Smart Environments | 2025

    https://doi.org/10.1177/18761364251374713

  • A Smart Tool to Unlock Hidden Insights in Industrial Data by Leveraging EDA, LLM, Conformal Prediction, and AutoML

    Diogo Costa; Eugénio M. Rocha; Vasco Costa
    2025

  • Estimating data complexity and drift through a multiscale generalized impurity approach

    Diogo Costa; Eugénio M. Rocha; Nelson Ferreira
    Journal of Computational Mathematics and Data Science | 2024

    https://doi.org/10.1016/j.jcmds.2024.100098

  • A Modular IoT-Based Architecture for Logistics Service Performance Assessment and Real-Time Scheduling towards a Synchromodal Transport System

    Ângela F. Brochado; Diogo Costa; Eugénio M. Rocha
    Sustainability | 2024

    https://doi.org/10.3390/su16020742

  • 3-Approaches for (Big Data) Root Cause Analysis and Continuous Improvement

    Brochado, Â. F.; Costa, Diogo; Lopes, Maria João; Martins, Joana; Pimentel, Carina; Rato, Beatriz; Rocha, Eugénio M.
    Evento Demonstrador Público Final Projeto Augmanity | 2023

  • Variables influence analysis of gas leak testing using belief propagation over factor graphs

    Diogo Costa; Eugénio M. Rocha; Joana Martins
    2023

  • Predictive maintenance on sensorized stamping presses by time series segmentation, anomaly detection, and classification algorithms

    Daniel Coelho; Diogo Costa; Duarte Almeida; Eugénio M. Rocha; José P. Santos
    2022

  • Minimizing False-Rejection Rates in Gas Leak Testing Using an Ensemble Multiclass Classifier for Unbalanced Data

    Diogo Costa; Eugénio M. Rocha; Pedro Ramalho
    2022

    https://doi.org/10.1007/978-3-031-20319-0_32

  • High-performance blockchain system for fast certification of manufacturing data

    Armando N. Pinto; Diogo Costa; José Santos; Miguel Teixeira
    SN Applied Sciences | 2022

    https://doi.org/10.1007/s42452-021-04909-6

  • Predicting COVID-19 Vaccination Intention: The Determinants of Vaccine Hesitancy

    Daniela Costa; Diogo Costa; Joana Arantes; José Keating; Nuno Fernandes
    Vaccines | 2021

    https://doi.org/10.3390/vaccines9101161

  • Proposal of a traceability 4.0 system in Renault CACIA using blockchain technologies

    Costa, Diogo Filipe Duarte
    2020

    http://hdl.handle.net/10773/31446

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