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Identification

Personal identification

Full name
Eduardo da Silva Carvalho

Author identifiers

Ciência ID
191F-41FD-FF47

Email addresses

  • ecarvalho@inegi.up.pt (Professional)
Education
Degree Classification
2021/09 - 2023/07
Concluded
 Engenharia Mecânica (Mestrado)
Major in Projeto de Máquinas
Universidade do Porto Faculdade de Engenharia, Portugal
"Constitutive Modelling in Hyperelasticity with Neural Networks" (THESIS/DISSERTATION)
 17
2018/09 - 2021/06
Concluded
 Ciências de Engenharia - Perfil de Engenharia Mecânica (Licenciatura)
Universidade do Porto Faculdade de Engenharia, Portugal
 16
Affiliation

Science

Category
Host institution 		Employer
2023/09 - Current Contracted Researcher (Research) Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Portugal
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2023/09 - Current Invited Assistant (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal
Universidade do Porto Faculdade de Engenharia, Portugal
Projects

Grant

Designation Funders
2023/01 - 2025/12 PROSPECTS 5.0: PROGRESS TOWARDS INDUSTRY 5-0: A SMART STUDY ON ANALYSIS AND IDENTIFICATION OF PRACTICES, DRIVERS, SUCCESS FACTORS AND OBSTACLES OF TRANSITIONS TOWARDS INDUSTRY 5.0
101135948
 NextGenerationEU
2023/01 - 2025/12 BLOCKCHAIN.PT - Agenda “Descentralizar Portugal com Blockchain”
C644918095-00000033 – Projeto nº51
 NextGenerationEU

Contract

Designation Funders
2020/01/01 - 2024/12/31 Laboratório Associado de Energia, Transportes e Aeronáutica
UIDB/50022/2020
10.54499/UIDB/50022/2020
Associated Laboratory for Energy Transports and Aeronautics, Portugal

Associação para o Desenvolvimento da Aerodinâmica Industrial, Portugal

Instituto de Engenharia Mecânica, Portugal

Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Portugal

Universidade da Beira Interior, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
Outputs

Publications

Conference abstract
  1. Carvalho, Eduardo. "A Novel Deep Learning Model for Predicting Colorectal Anastomotic Dehiscence: A Pioneer Multicenter Transatlantic Study". Paper presented in UEG Week 2025, Berlin, 2025.
    Accepted
  2. Carvalho, Eduardo. "Objective assessment of ergonomics in microneurosurgery – a pilot study". Paper presented in 2025 European Association of Neurosurgical Societies Congress, Viena, 2025.
    Accepted
  3. Carvalho, Eduardo. "A novel deep learning model for predicting colorectal anastomotic dehiscence: A pioneer multicenter transatlantic study". Paper presented in Tripartite Colorectal Meeting 2025, Paris, 2025.
    Accepted
  4. Carvalho, Eduardo. "Using Artificial Intelligence To Predict Post-Treatment Visual Acuity In Retinal Vein Occlusion". Paper presented in 30th Congress of the European Society of Biomechanics (ESB), Zurich, 2025.
    Accepted
  5. Carvalho, Eduardo. "OBJECTIVE INDIVIDUAL ASSESSMENT OF ERGONOMICS IN MICRONEUROSURGERY – A RANDOMIZED PILOT STUDY". Paper presented in 40ºCONGRESSO NACIONAL DA SOCIEDADE PORTUGUESA DE NEUROCIRURGIA, Braga, 2025.
  6. Sónia Torres-Costa; BARBOSA, GUILHERME; Carvalho, Eduardo; Parente, Marco; Guerra, Ana; Ramião, Nilza; Penas, Susana; FALCÃO, MANUEL. "Automated Detection of Retinal Vein Occlusion and Diabetic Macular Edema via Deep Learning in OCT Images". Paper presented in 24th Euretina Congress, Barcelona, 2024.
    Accepted
  7. BARBOSA, GUILHERME; Carvalho, Eduardo; Guerra, Ana; Ramião, Nilza; Parente, Marco; Sónia Torres-Costa; FALCÃO, MANUEL. "Classification of Retinal Vein Occlusion and Diabetic Macular Edema with Deep Learning in OCT Images". Paper presented in VPH Conference 2024, Estugarda, 2024.
    Accepted
  8. Carvalho, Eduardo; João Pedro Sousa Ferreira; Parente, Marco. "Development Of Data-Driven Constitutive Models: Applications In The Finite Element Simulation Of Hyperelastic Materials". Paper presented in CILAMCE 2023 - The XLIV Ibero-Latin American Congress on Computational Methods in Engineering, 2023.
    Accepted
  9. Carvalho, Eduardo; João Pedro Sousa Ferreira; Parente, Marco. "Surrogate modelling of the constitutive behaviour of hyperelastic materials based on artificial neural networks". Paper presented in X International Conference on Computational Bioengineering (ICCB 2023), Viena, 2023.
  10. Carvalho, Eduardo; João Pedro Sousa Ferreira; Parente, Marco. "Surrogate modelling of the constitutive behaviour of hyperelastic materials based on artificial neural networks". Paper presented in 5th Doctoral Congress Engineering (DCE’23), 2023.
    Accepted
Conference paper
  1. Rebolo, Pedro; Carvalho, Eduardo; BARBOSA, GUILHERME; B. Areias; Guerra, Ana; Sónia Torres-Costa; Ramião, Nilza; FALCÃO, MANUEL; Parente, Marco. Corresponding author: Rebolo, Pedro. "A Stacked Deep Learning Approach for Optimized Retinal Imaging Analysis in Diabetes Care". Paper presented in Conference on Computational and Artificial Intelligence for Mechanics and Biomechanics (CCAIMB2025), Porto, 2025.
    Published • https://doi.org/10.5281/zenodo.17131900
Conference poster
  1. Carvalho, Eduardo; BARBOSA, GUILHERME; Guerra, Ana; Oliveira, Dulce; rita moura; Ramião, Nilza. "Deep Learning Prediction Of Anastomotic Leaks From Colorectal Surgery Images". Paper presented in 30th Congress of the European Society of Biomechanics (ESB), 2025.
  2. Sónia Torres-Costa; BARBOSA, GUILHERME; Carvalho, Eduardo; Inês Coelho da Costa; Parente, Marco; Guerra, Ana; Ramião, Nilza; Penas, Susana; FALCÃO, MANUEL. "Visual Acuity Prediction in Retinal Vein Occlusion Treated with Intravitreal Injections Using Artificial Intelligence". Paper presented in 2025 ARVO Annual Meeting, 2025.
  3. Inês Coelho da Costa; Sónia Torres-Costa; BARBOSA, GUILHERME; Carvalho, Eduardo; Parente, Marco; Guerra, Ana; Ramião, Nilza; FALCÃO, MANUEL. "Deep Learning Network to Distinguish Between Retinal Vein Occlusion and Diabetic Macular Edema". Paper presented in ARVO 2024 Annual Meeting, 2024.
  4. Carvalho, Eduardo; Oliveira, Dulce; Parente, Marco; Natal Jorge, Renato; João Pedro Sousa Ferreira. Corresponding author: Carvalho, Eduardo. "Rib Cage: from CT scan images to finite element analysis". Paper presented in 5th Meeting of the Young Researchers of LAETA, 2022.
Journal article
  1. Eduardo Carvalho; Miguel Mascarenhas; Francisca Pinheiro; Ricardo Correia; Sandra Balseiro; Guilherme Barbosa; Ana Guerra; et al. "Predetermined Change Control Plans: Guiding Principles for Advancing Safe, Effective, and High-Quality AI-ML Technologies". JMIR AI (2025): https://doi.org/10.2196/76854.
    10.2196/76854
  2. Miguel Mascarenhas; Francisco Mendes; Filipa Fonseca; Eduardo Carvalho; Andre Santos; Daniela Cavadas; Guilherme Barbosa; et al. "A Novel Deep Learning Model for Predicting Colorectal Anastomotic Leakage: A Pioneer Multicenter Transatlantic Study". Journal of Clinical Medicine (2025): https://doi.org/10.3390/jcm14155462.
    10.3390/jcm14155462
  3. Pedro Rebolo; Guilherme Barbosa; Eduardo Carvalho; Bruno Areias; Ana Guerra; Sónia Torres-Costa; Nilza Ramião; Manuel Falcão; Marco Parente. "Development of Stacked Neural Networks for Application with OCT Data, to Improve Diabetic Retinal Health Care Management". Information (2025): https://doi.org/10.3390/info16080649.
    10.3390/info16080649
  4. Eduardo Carvalho; Joao P. S. Ferreira; Renato M. Natal Jorge; Marco P. L. Parente. "Development of data-driven constitutive models: Applications in the finite element simulation of hyperelastic materials". Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications (2025): https://doi.org/10.1177/14644207251330497.
    10.1177/14644207251330497
  5. Guilherme Barbosa; Eduardo Carvalho; Ana Guerra; Sónia Torres-Costa; Nilza Ramião; Marco L. P. Parente; Manuel Falcão. "Deep Learning to Distinguish Edema Secondary to Retinal Vein Occlusion and Diabetic Macular Edema: A Multimodal Approach Using OCT and Infrared Imaging". Journal of Clinical Medicine (2025): https://doi.org/10.3390/jcm14031008.
    10.3390/jcm14031008
Thesis / Dissertation
  1. "Constitutive Modelling in Hyperelasticity with Neural Networks". Master, Universidade do Porto Faculdade de Engenharia, 2023. https://hdl.handle.net/10216/151310.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2024/09/05 Classification of Retinal Vein Occlusion and Diabetic Macular Edema with Deep Learning in OCT Images VPH Conference 2024
(Estugarda, Germany)
2023/11/14 Development Of Data-Driven Constitutive Models: Applications In The Finite Element Simulation Of Hyperelastic Materials CILAMCE 2023 - The XLIV Ibero-Latin American Congress on Computational Methods in Engineering
(Porto, Portugal)
2023/09/21 Surrogate modelling of the constitutive behaviour of hyperelastic materials based on artificial neural networks X International Conference on Computational Bioengineering (ICCB 2023)
Technische Universität Wien (Viena, Austria)
2023/06/16 Surrogate modelling of the constitutive behaviour of hyperelastic materials based on artificial neural networks 5th Doctoral Congress Engineering (DCE’23)
(Porto, Portugal)

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2024/02 - 2025/07 Órgãos de Máquinas Engenharia Mecânica (Licenciatura) Universidade do Porto Faculdade de Engenharia, Portugal
2023/09 - 2024/02 Análise Matemática III Engenharia Mecânica (Licenciatura) Universidade do Porto Faculdade de Engenharia, Portugal