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Dylan Gonçalves Perdigão completed his Master's degree (2023) and Bachelor's degree (2021) in Informatics Engineering from the University of Coimbra, with his master's specializing in Intelligent Systems. Currently, he is pursuing a Ph.D. in Informatics Engineering at the University of Coimbra. He is a research fellow at the Center for Informatics and Systems of the University of Coimbra (CISUC), where he is involved in the Centre for Responsible AI (CR-AI) project. His current project, CR-AI, is focused on Deep Learning, specifically Spiking Neural Networks and Causal Inference. Previously, he worked on the Smart5Grid project at CISUC, where his work focused on Causal Inference, Imbalanced Data, and Federated Learning. Dylan is also since 2024 an Invited Assistant Professor at the Department of Informatics Engineering of the University of Coimbra. He has co-authored 7 publications, earning 3 distinctions, and has 2 conference papers under review. He also served on the Local Organization Committee of DS2023. He is involved as a student member of the Portuguese Engineering Association and is also a member of APRP.
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Identification

Personal identification

Full name
Dylan Gonçalves Perdigão

Citation names

  • Dylan Perdigão
  • Dylan Gonçalves Perdigão

Author identifiers

Ciência ID
B91A-62FA-29B2
ORCID iD
0000-0001-6923-900X
Google Scholar ID
sF7oYBYAAAAJ&hl
Researcher Id
GLS-1086-2022
Scopus Author Id
57904609600

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
French (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
German Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2)
Education
Degree Classification
2023 - 2027
Ongoing
 Engenharia Informática (Doutoramento)
Universidade de Coimbra, Portugal
2021 - 2023
Concluded
 Engenharia Informática (Mestrado)
Major in Sistemas Inteligentes
Universidade de Coimbra, Portugal
"Towards an Intrusion Detection System for Smart Grids: A Federated Approach" (THESIS/DISSERTATION)
 16 /20
2018 - 2021
Concluded
 Engenharia Informática (Licenciatura)
Universidade de Coimbra, Portugal
 14.13 /20
2014 - 2017
Concluded
 Maturité Gymnasiale (Ensino secundário)
Major in Physique et Application des Mathématiques
Lycée Denis-De-Rougemont, Switzerland
 4.44 /6
Affiliation

Science

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

Teaching in Higher Education

Category
Host institution 		Employer
2024/09 - 2025/02 Invited Assistant (University Teacher) Universidade de Coimbra, Portugal
Universidade de Coimbra, Portugal
Projects

Grant

Designation Funders
2023 - Current NextGenAI - Centre For Responsible AI
C645008882-00000055
PhD Student Fellow
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Universidade de Coimbra
Ongoing
2022 - 2023 Smart5Grid - Automated 5G Networks and Services for Smart Grids
POCI-01-0247-FEDER-047226
Master Student Fellow
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Universidade de Coimbra
Concluded
Outputs

Publications

Book chapter
  1. Dylan Perdigão; Francisco Antunes; Catarina Silva; Bernardete Ribeiro. "Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection". 2025.
    10.1007/978-3-031-76604-6_4
  2. Dylan Perdigão; Francisco Antunes; Catarina Silva; Bernardete Ribeiro. "Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization". 2025.
    10.1007/978-3-031-73503-5_11
  3. Faria, Bruno; Perdigão, Dylan; Gonçalo Oliveira, Hugo. "Question Answering over Linked Data with GPT-3". In 12th Symposium on Languages, Applications and Technologies (SLATE 2023), 1-15. Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2023.
    Published • 10.4230/OASICS.SLATE.2023.1
  4. Faria, Bruno; Perdigão, Dylan; Brás, Joana; Macedo, Luís. Corresponding author: Macedo, Luís. "The Joint Role of Batch Size and Query Strategy in Active Learning-Based Prediction – A Case Study in the Heart Attack Domain". In Progress in Artificial Intelligence, 464-475. Springer International Publishing, 2022.
    Published • 10.1007/978-3-031-16474-3_38
Conference paper
  1. Dylan Perdigão; Tiago Cruz; Paulo Simões; Pedro Henriques Abreu. "Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems". 2024.
    10.1109/noms59830.2024.10574962
Journal article
  1. B Ribeiro; Francisco Antunes; Dylan Perdigão; Catarina Silva. "Convolutional Spiking Neural Networks targeting learning and inference in highly imbalanced datasets". Pattern Recognition Letters (2024): http://dx.doi.org/10.1016/j.patrec.2024.08.002.
    10.1016/j.patrec.2024.08.002
Thesis / Dissertation
  1. "Towards an Intrusion Detection System for Smart Grids: A Federated Approach". Master, Universidade de Coimbra, 2023. https://hdl.handle.net/10316/107912.
    10.13140/RG.2.2.14676.58243
Activities

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2023/10/09 - 2023/10/11 26th International Conference on Discovery Science (2023/10/09 - 2023/10/11)
Conference (Other)
 Universidade de Coimbra, Portugal

Association member

Society Organization name Role
2025 - Current Associação Portuguesa de Reconhecimento de Padrões (APRP)
2021 - Current Ordem dos Engenheiros Student Member

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2024 - 2025 Tecnologia da Informática / Informatics Technology Licenciatura em Engenharia Informática (Licenciatura) Universidade de Coimbra, Portugal
2024 - 2025 Aprendizagem Computacional / Machine Learning Licenciatura em Engenharia Informática (Licenciatura) Universidade de Coimbra, Portugal
Distinctions

Award

2024 Best Student Poster Award (EPIA 2024)
2023 Best Paper Award (SLATE 2023)
2023 Best Poster Award (ECCWS 2023)