Personal identification

Full name

Eduardo da Silva Carvalho

Author identifiers

Ciência ID

191F-41FD-FF47

Email addresses

• ecarvalho@inegi.up.pt (Professional)

	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

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

Publications

Conference abstract	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 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 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 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 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. 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 poster	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. 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. 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. 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	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 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	"Constitutive Modelling in Hyperelasticity with Neural Networks". Master, Universidade do Porto Faculdade de Engenharia, 2023. https://hdl.handle.net/10216/151310.