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Dylan Perdigão received the bachelor’s and master’s degrees in informatics engineering, specializing in intelligent systems from the University of Coimbra, in 2021 and 2023, respectively, where he is currently pursuing the Ph.D. degree in informatics engineering. He is a Research Fellow with the Centre for Informatics and Systems of the University of Coimbra (CISUC), where he is involved in the Centre for Responsible AI (CR-AI) Project. Previously, he contributed to the Smart5Grid Project at CISUC, working on causal inference, imbalanced data, and federated learning. Since 2024, he has been an Invited Assistant Professor with the Department of Informatics Engineering, University of Coimbra. His current research interests include deep learning, particularly spiking neural networks, and causal inference. He has been a Member of the Portuguese Engineering Association (Ordem dos Engenheiros) since 2022 and the Institute of Electrical and Electronics Engineers (IEEE) and the Portuguese Association of Pattern Recognition (APRP) since 2025.
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Identification

Personal identification

Full name
Dylan Gonçalves Perdigão

Citation names

  • Perdigão, Dylan
  • Gonçalves Perdigão, Dylan

Author identifiers

Ciência ID
B91A-62FA-29B2
ORCID iD
0000-0001-6923-900X
AuthenticusID
R-00M-1P2
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
2025/02 - Current Bayesian Causal Inference in Deep Spiking Neural Networks
2024.01388.BD
PhD Student Fellow
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
2023 - 2025/01 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. "Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization". 2025.
    10.1007/978-3-031-73503-5_11
  2. Perdigão, Dylan; Antunes, Francisco; Silva, Catarina; Ribeiro, Bernardete. Corresponding author: Perdigão, Dylan. "Spiking Alternatives for the Leaky Integrate-and-Fire Neuron: Applications in Cybersecurity and Financial Threats". In Pattern Recognition and Image Analysis, 403-414. Coimbra, Portugal: Springer Nature Switzerland, 2025.
    Published • 10.1007/978-3-031-99565-1_31
  3. Perdigão, Dylan; Antunes, Francisco; Silva, Catarina; Ribeiro, Bernardete. Corresponding author: Perdigão, Dylan. "Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection". In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 45-59. Talca, Chile: Springer Nature Switzerland, 2024.
    Published • 10.1007/978-3-031-76604-6_4
  4. Faria, Bruno; Perdigão, Dylan; Gonçalo Oliveira, Hugo. Corresponding author: 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
  5. 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 abstract
  1. Perdigão, Dylan; Antunes, Francisco; Silva, Catarina; Ribeiro, Bernardete. Corresponding author: Perdigão, Dylan. "Neuromorphic Bank Account Fraud Detection with Fairness-Aware Population Coding Mechanism". Paper presented in 31st Portuguese Conference on Pattern Recognition (RECPAD 2025), Aveiro, 2025.
    Accepted
  2. Perdigão, Dylan; Antunes, Francisco; Silva, Catarina; Ribeiro, Bernardete. Corresponding author: Perdigão, Dylan. "1D-Convolutional Spiking Neural Network Optimisation for Bank Account Fraud Detection". Paper presented in 30th Portuguese Conference on Pattern Recognition (RECPAD 2024), Covilhã, 2024.
    Published
Conference paper
  1. Perdigão, Dylan; Cruz, Tiago; Simões, Paulo; Abreu, Pedro Henriques. Corresponding author: Perdigão, Dylan. "Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems". Paper presented in 2024 IEEE Network Operations and Management Symposium, 2024.
    Published • 10.1109/noms59830.2024.10574962
Journal article
  1. Perdigão, Dylan; Antunes, Francisco; Silva, Catarina; Ribeiro, Bernardete. Corresponding author: Perdigão, Dylan. "CalibraSNN: Fair and Calibrated Convolutional Spiking Neural Network for High-Stakes Industry Applications". IEEE Access 13 (2025): 210979-210995. https://doi.org/10.1109/ACCESS.2025.3641389.
    Open access • Published • 10.1109/ACCESS.2025.3641389
  2. Ribeiro, Bernardete; Antunes, Francisco; Perdigão, Dylan; Silva, Catarina. Corresponding author: Ribeiro, Bernardete. "Convolutional Spiking Neural Networks targeting learning and inference in highly imbalanced datasets". Pattern Recognition Letters 189 (2025): 241-247. https://doi.org/10.1016/j.patrec.2024.08.002.
    Published • 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

Association member

Society Organization name Role
2025/12 - Current Institute of Electrical and Electronics Engineers (IEEE) Graduate Student Member
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
2025 - 2025 Tecnologias da Informática e Computadores / Informatics and Computer Technologies Licenciatura em Engenharia Informática (Licenciatura) Universidade de Coimbra Departamento de Engenharia Informática, Portugal
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

2025 Best Paper Award Finalist (RECPAD 2025)
31st Portuguese Conference on Pattern Recognition, Portugal
2024 Best Student Poster Award (EPIA 2024)
23rd EPIA Conference on Artificial Intelligence, Portugal
2023 Best Paper Award (SLATE 2023)
12th Symposium on Languages, Applications and Technologies, Portugal
2023 Best Poster Award (ECCWS 2023)
22nd European Conference on Cyber Warfare and Security, Greece