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Gabriel Cortês is a PhD student enrolled in the PhD in Informatics Engineering at the Faculty of Sciences and Technology of the University of Coimbra and a researcher of the bio-inspired Artificial Intelligence Group (bAI Group) of the Center of Informatics and Systems of the University of Coimbra (CISUC). He holds a Bachelor's and a Master's degree in Informatics Engineering with a specialization in Intelligent Systems from the same university, the first completed with 17 out of 20 values and the former with 16 out of 20. His Master’s thesis, titled ”Towards Physical Plausibility in Neuroevolution Systems” received a grade of 19 out of 20 values. Work from this thesis resulted in a paper with the same title that was published and presented at the International Conference on the Applications of Evolutionary Computation. He obtained a scholarship from the Calouste Gulbenkian Foundation for the academic years 2018/2019 to 2021/2022, spanning his Bachelor’s and Master’s studies. His research focuses on utilizing Evolutionary Computation (EC) to enhance the sustainability of Artificial Intelligence (AI) in addressing environmental and financial challenges.
Identification

Personal identification

Full name
Gabriel Alexandre Rodrigues Cortês

Citation names

  • Cortês, Gabriel

Author identifiers

Ciência ID
611D-2CFD-288C
ORCID iD
0000-0001-6318-8520
Google Scholar ID
XPmfTaAAAAAJ
Researcher Id
JQI-3391-2023

Email addresses

  • cortes@dei.uc.pt (Professional)

Addresses

  • Departamento de Engenharia Informática da FCTUC, Pólo II - Pinhal de Marrocos, 3030-290, Coimbra, Coimbra, Portugal (Professional)

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Upper intermediate (B2) Advanced (C1) Upper intermediate (B2) Advanced (C1) Advanced (C1)
Education
Degree Classification
2023/09 - 2027/09
Ongoing
Doutoramento em Engenharia Informática (Doutoramento)
Universidade de Coimbra, Portugal
"Sustainable Approach to Energy-Efficient Artificial Intelligence" (THESIS/DISSERTATION)
2021/09 - 2023/09
Concluded
Mestrado em Engenharia Informática (Mestrado)
Major in Sistemas Inteligentes
Universidade de Coimbra, Portugal
"Towards Physical Plausibility in Neuroevolution Systems" (THESIS/DISSERTATION)
16
2018/09 - 2021/07
Concluded
Licenciatura em Engenharia Informática (Licenciatura)
Universidade de Coimbra, Portugal
17
Affiliation

Science

Category
Host institution
Employer
2022/09/01 - Current Researcher (Research) Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Projects

Grant

Designation Funders
2023/05/15 - Current Center for Responsible AI
Research Fellow
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Agência para a Competitividade e Inovação IP
Ongoing
Outputs

Publications

Conference paper
  1. Cortês, Gabriel; Lourenço, Nuno; Machado, Penousal. Corresponding author: Cortês, Gabriel. "Towards Physical Plausibility in Neuroevolution Systems". Paper presented in Applications of Evolutionary Computation – 27th International Conference, EvoApplications 2024, Aberystwyth, 2024.
    Published • https://doi.org/10.1007/978-3-031-56855-8_5
Conference poster
  1. Cortês, Gabriel; Lourenço, Nuno; Machado, Penousal. Corresponding author: Cortês, Gabriel. "Towards Physical Plausibility in Neuroevolution Systems". Paper presented in Applications of Evolutionary Computation – 27th International Conference, EvoApplications 2024, 2024.
Thesis / Dissertation
  1. "Towards Physical Plausibility in Neuroevolution Systems". Master, Universidade de Coimbra Departamento de Engenharia Informática, 2023. https://estudogeral.uc.pt/handle/10316/110787.
    10.13140/RG.2.2.29465.39521
Activities

Event participation

Activity description
Type of event
Event name
Institution / Organization
2024/04/03 - 2024/04/05 EvoStar conference, attended in 2024
Conference
EvoStar
Distinctions

Other distinction

2024 Merit Board for top the 5% students 2022/2023
Universidade de Coimbra, Portugal
2023 Merit Board for top the 5% students 2018/2019
Universidade de Coimbra, Portugal
2023 Merit Board for top the 5% students 2019/2020
Universidade de Coimbra, Portugal
2021 Bolsa Gulbenkian Mais
Fundação Calouste Gulbenkian, Portugal
2020 Bolsa Gulbenkian Mais
Fundação Calouste Gulbenkian, Portugal
2019 Bolsa Gulbenkian Mais
Fundação Calouste Gulbenkian, Portugal
2018 Bolsa Gulbenkian Mais
Fundação Calouste Gulbenkian, Portugal