Pedro José Costa de Oliveira (7A1C-0C2F-E5BD)

Curriculum Vitae

Pedro José Costa de Oliveira

Pedro Oliveira holds a PhD in Informatics from the School of Engineering at the University of Minho, Braga, Portugal. He currently serves as an Invited Professor at the same institution, where he teaches courses on Multi-Agent Systems, Data Engineering, and the application of Machine and Deep Learning models. Simultaneously, he is a researcher at the ALGORITMI Centre, specifically within the Synthetic Intelligence Lab (ISLAB) research group. With a background that includes a Master’s degree in Informatics Engineering from the University of Minho, his expertise lies at the intersection of advanced artificial intelligence and practical systems engineering. His research trajectory is marked by a significant focus on Recurrent Neural Networks, particularly the application of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models to address complex Time Series problems and anomaly detection. Furthermore, Dr. Oliveira has successfully integrated Explainable AI (XAI) frameworks to enhance the interpretability of deep learning outcomes. His most recent investigations explore the synergy between Multi-Agent Systems and Agentic AI, with a particular emphasis on Reinforcement Learning architectures.

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Identificação

Identificação pessoal

Nome completo: Pedro José Costa de Oliveira

Nomes de citação

Oliveira, Pedro

Identificadores de autor

Ciência ID: 7A1C-0C2F-E5BD
ORCID iD: 0000-0001-7143-5413
Google Scholar ID: https://scholar.google.com/citations?user=DGqYFWMAAAAJ
Scopus Author Id: 57209747151

Telefones

Telefone

913408064 (Pessoal)

Domínios de atuação

Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática
Ciências Exatas - Ciências da Computação e da Informação - Ciências da Computação

Idiomas

Idioma	Conversação	Leitura	Escrita	Compreensão	Peer-review
Português (Idioma materno)
Inglês	Utilizador proficiente (C1)	Utilizador proficiente (C1)	Utilizador proficiente (C1)	Utilizador proficiente (C1)	Utilizador proficiente (C1)
Espanhol; Castelhano	Utilizador proficiente (C1)	Utilizador proficiente (C1)	Utilizador independente (B1)	Utilizador proficiente (C1)	Utilizador independente (B1)

Formação

	Grau	Classificação
2021/02/01 - 2026/02/19 Concluído	Programa Doutoral em Informática (Curso de doutoramento (conclusão de unidades curriculares)) Universidade do Minho Escola de Engenharia, Portugal
2010/09/20 - 2020/12/11 Concluído	Engenharia Informática (Mestrado integrado) Especialização em Sistemas Inteligentes, Machine Learning Universidade do Minho Escola de Engenharia, Portugal	15
2007/09/15 - 2010/07/15 Concluído	Ciências e Tecnologias (Ensino secundário) Escola Secundária D. Sancho II, Portugal

Percurso profissional

Ciência

	Categoria Profissional Instituição de acolhimento	Empregador
2020/02/01 - Atual	Investigador (Investigação)	Universidade do Minho Centro ALGORITMI, Portugal

Docência no Ensino Superior

	Categoria Profissional Instituição de acolhimento	Empregador
2021/09/20 - Atual	Assistente Convidado (Docente Universitário)	Universidade do Minho, Portugal
	Universidade do Minho Escola de Engenharia, Portugal

Projetos

Bolsa

	Designação	Financiadores
2026/01 - Atual	AMALIA - “Criação do Modelo de Linguagem em Grande Escala da Língua Portuguesa de Portugal” RE-C05-i08	Fundação para a Ciência e a Tecnologia
2023/01/01 - 2025/12/31	Anomaly Detection Models to improve the Sustainability of Water Companies PRT/BD/154311/2022 Bolseiro de Doutoramento	Massachusetts Institute of Technology MIT Portugal Program
2020/04 - 2022/12	Predictive and Analytic Models for the Optimization of Multi-municipal Water Systems DSAIPA/AI/0099/2019	Fundação para a Ciência e a Tecnologia

Produções

Publicações

Artigo em conferência	Pedro Oliveira; Maria Salomé Duarte; Paulo Novais. "Applying Anomaly Detection Models in Wastewater Management: A case study of nitrates concentration in the effluent". Trabalho apresentado em Ibero-American Conference on Artificial Intelligence, 2022. Aceite para publicação Pedro Oliveira; Bruno Fernandes; Francisco Aguiar; Maria Alcina Pereira; Paulo Novais. "Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants". Trabalho apresentado em 22nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), ISBN: 978-3-030-91607-7, 2021. Publicado • 10.1007/978-3-030-91608-4_44 Diogo Gigante; Pedro Oliveira; Bruno Fernandes; Frederico Lopes; Paulo Novais. "Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants". Trabalho apresentado em 16th International Conference on Hybrid Artificial Intelligence Systems (HAIS), ISBN: 978-3-030-86270-1, 2021. Publicado • 10.1007/978-3-030-86271-8_49 Carlos Faria; Pedro Oliveira; Bruno Fernandes; Francisco Aguiar; Maria Alcina Pereira; Paulo Novais. "A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants". Trabalho apresentado em 18th International Conference on Distributed Computing and Artificial Intelligence (DCAI), ISBN: 978-3-030-86260-2, 2021. Publicado • 10.1007/978-3-030-86261-9_14 Silva, Carolina; Fernandes, Bruno; Oliveira, Pedro; Novais, Paulo. "Using Machine Learning to Forecast Air and Water Quality". 2021. 10.5220/0010379312101217 Pedro Oliveira; Bruno Fernandes; Francisco Aguiar; Maria Alcina Pereira; Cesar Analide; Paulo Novais. "A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants". Trabalho apresentado em 21st International Conference on Intelligent Data Engineering and Automated Learning (IDEAL); ISBN: 978-3-030-62361-6, 2020. Publicado • 10.1007/978-3-030-62362-3_32 Pedro Oliveira; Bruno Fernandes; Cesar Analide; Paulo Novais. "Multi-step ultraviolet index forecasting using long short-term memory networks". Trabalho apresentado em 17th International Conference on Distributed Computing and Artificial Intelligence (DCAI), ISBN: 978-3-030-53035-8, 2020. Publicado • 10.1007/978-3-030-53036-5_20
Artigo em revista	Pedro Oliveira; Afonso Bessa; João Pereira; Sérgio Silva; Maria Salomé Duarte; Dalila Durães; Paulo Novais. "Exploring Transfer Learning's Impact on the Explainability of Deep Learning Models for Wastewater Treatment Plants' Biogas Production". Expert Systems (2026): https://doi.org/10.1111/exsy.70235. 10.1111/exsy.70235 Pedro Oliveira; Francisco S. Marcondes; Maria Salomé Duarte; Dalila Durães; Cristina Gonçalves; Gilberto Martins; Paulo Novais. "Incdualpathnet : a hybrid architecture proposal for predicting energy production in a wastewater treatment plants". Neural Computing and Applications (2025): https://doi.org/10.1007/s00521-025-11545-3. 10.1007/s00521-025-11545-3 Ribeiro, Tiago; Oliveira, Pedro; Rodrigues, Manuel. "Next-Generation Surveillance: Exploring the Intersection of Artificial Intelligence and Security". Lecture Notes in Networks and Systems (2024): https://publons.com/wos-op/publon/69744855/. 10.1007/978-3-031-66428-1_33 Oliveira, Pedro; Marcondes, Francisco S.; Duarte, M. Salome; Duraes, Dalila; Martins, Gilberto; Novais, Paulo. "Assessment of LSTM and GRU Models to Predict the Electricity Production from Biogas in a Wastewater Treatment Plant". Lecture Notes in Networks and Systems (2024): https://publons.com/wos-op/publon/69744893/. 10.1007/978-3-031-60218-4_7 Pedro Oliveira; M. Salomé Duarte; Paulo Novais. "Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants". AI Communications (2023): http://dx.doi.org/10.3233/aic-230064. 10.3233/aic-230064 M. Salomé Duarte; Gilberto Martins; Pedro Oliveira; Bruno Fernandes; Eugénio C. Ferreira; M. Madalena Alves; Frederico Lopes; M. Alcina Pereira; Paulo Novais. "A Review of Computational Modeling in Wastewater Treatment Processes". ACS ES&T Water (2023): http://dx.doi.org/10.1021/acsestwater.3c00117. 10.1021/acsestwater.3c00117 António Linhares Silva; Pedro Oliveira; Dalila Durães; Duarte Fernandes; Rafael Névoa; João Monteiro; Pedro Melo-Pinto; José Machado; Paulo Novais. "A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications". Sensors (2023): https://doi.org/10.3390/s23146427. 10.3390/s23146427 Pereira, J.; Oliveira, P.; Duarte, M.S.; Martins, G.; Novais, P.. "Using Deep Learning Models to Predict the Electrical Conductivity of the Influent in a Wastewater Treatment Plant". Intelligent Data Engineering and Automated Learning - IDEAL: International Conference, Proceedings. Lecture Notes in Computer Science (14404) (2023): https://publons.com/wos-op/publon/73676960/. 10.1007/978-3-031-48232-8_13 Santos, Flavin A.; de Souza, Maynara Donato; Oliveira, Pedro; Matos, Leonardo Nogueira; Novais, Paulo; Zanchettin, Cleber. "Image Classification Understanding with Model Inspector Tool". Lecture Notes in Computer Science (2023): https://publons.com/wos-op/publon/69744869/. 10.1007/978-3-031-40725-3_52 Pedro Oliveira; Bruno Fernandes; Cesar Analide; Paulo Novais. "Forecasting Energy Consumption of Wastewater Treatment Plants with a Transfer Learning Approach for Sustainable Cities". Electronics 10 10 (2021): 1149-1149. https://doi.org/10.3390/electronics10101149. 10.3390/electronics10101149
Capítulo de livro	Afonso Bessa; Pedro Oliveira; Millena Santos; S. A. Silva; Paulo Novais. "Synthetic Data Augmentation for COD Prediction in WTTPs: A Comparative Study of Deep Learning Models with VARMA and TTS-GAN". 2026. 10.1007/978-3-032-10486-1_18 Gonçalo Medeiros; Francisco S. Marcondes; Pedro Oliveira; José Machado; Paulo Novais. "Efficiency of the Transformer Model in Time Series Forecasting: A Case Study in Wastewater Treatment Plants". 2025. 10.1007/978-3-031-80366-6_25 Pedro Oliveira; Francisco Franco; Afonso Bessa; Dalila Durães; Paulo Novais. "Employing Explainable AI Techniques for Air Pollution: An Ante-Hoc and Post-Hoc Approach in Dioxide Nitrogen Forecasting". 2025. 10.1007/978-3-031-77731-8_30 Pedro Oliveira; Antonio Díaz-Longueira; Francisco S. Marcondes; Dalila Durães; José Luis Calvo-Rolle; Esteban Jove; Paulo Novais. "A Deep Learning-Based Model to Predict Nitrogen Dioxide in Urban Environments". 2025. 10.1007/978-3-031-83117-1_30 Duarte Lucas; Pedro Oliveira; Afonso Bessa; Francisco S. Marcondes; Manuel Rodrigues. "Towards Efficient Biogas Production: Deep Learning-Based Methane Forecasting in Anaerobic Digesters of Wastewater Treatment Plants". 2025. 10.1007/978-3-032-05925-3_13 Pedro Oliveira; Paula Arcano-Bea; Franciso S. Marcondes; José Luis Calvo-Rolle; Paulo Novais; Esteban Jove. "Geothermal Heat Exchanger’s Temperature Input Sensor Prediction Based on Deep Learning Modelling Technique". 2024. 10.1007/978-3-031-73910-1_5 Marcos A. S. da Silva; Pedro V. de A. Barreto; Leonardo N. Matos; Gastão F. Miranda Júnior; Márcia H. G. Dompieri; Fábio R. de Moura; Fabrícia K. S. Resende; Paulo Novais; Pedro Oliveira. "A Self-Organizing Map Clustering Approach to Support Territorial Zoning". 2024. 10.1007/978-3-031-49018-7_20 Armindo Lobo; Pedro Oliveira; Paulo Sampaio; Paulo Novais. "Cost-Sensitive Learning and Threshold-Moving Approach to Improve Industrial Lots Release Process on Imbalanced Datasets". 2023. 10.1007/978-3-031-20859-1_28 Pedro Oliveira; M. Salomé Duarte; Paulo Novais. "Applying Anomaly Detection Models in Wastewater Management: A Case Study of Nitrates Concentration in the Effluent". 2022. 10.1007/978-3-031-22419-5_6
Poster em conferência	Martins, G.; Duarte, M. Salomé; Oliveira, Pedro; Dias, A.; Marcondes, F.S.; Pereira, Maria Alcina; Novais, Paulo. Autor correspondente: Martins, G.. "New decision support system for biogas and electricity forecast in wastewater treatment plants". Trabalho apresentado em 18th IWA World Conference on Anaerobic Digestion, 2024.
Resumo em conferência	Duarte, Maria Salomé; Martins, Gilberto; Oliveira, João V.; Oliveira, Pedro; Silva, Sérgio A.; Novais, Paulo; Pereira, M. Alcina; Alves, M. Madalena. "Modelling anaerobic digestion of sewage sludge: mechanistic models vs machine learning". Trabalho apresentado em 17th World Conference on Anaerobic Digestion, Ann Arbor, 2022. Publicado
Tese / Dissertação	"'Data-Driven and Explainable AI Models for Predictive Analytics and Anomaly Detection". Doutoramento, 2026. https://hdl.handle.net/1822/100300. "Conflict Resolution in Clinical Treatments". Mestrado, Universidade do Minho, 2019.

Atividades

Apresentação oral de trabalho

	Título da apresentação	Nome do evento Anfitrião (Local do evento)
2025/11	Synthetic Data Augmentation for COD Prediction in WTTPs: A Comparative Study of Deep Learning Models with VARMA and TTS-GAN	26th International Conference on Intelligent Data Engineering and Automated Learning (Jaen, Espanha)
2025/07	Artificial Intelligence for a Greener Tomorrow: Predictive and Explainable Models in Environmental Monitoring	(Salamanca, Espanha)
2022/09/15	Machine and Deep Learning Models for Optimization of Wastewater Treatment Plants	Universidad A Coruña - Campus de Esteiro (Ferrol, Espanha)
2021/11/25	Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants	22nd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) (Manchester, Reino Unido)
2021/10/06	A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants	18th International Conference on Distributed Computing and Artificial Intelligence (DCAI) (Salamanca, Espanha)
2021/09/22	Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants	16th International Conference on Hybrid Artificial Intelligence Systems (HAIS) (Bilbao, Espanha)
2020/11/04	A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants	21st Intelligent Data Engineering and Automated Learning (IDEAL) (Guimarães, Portugal)
2020/10/07	Multi-step ultraviolet index forecasting using long short-term memory networks	17th International Conference on Distributed Computing and Artificial Intelligence (DCAI). (L'Aquila, Itália)

Organização de evento

	Nome do evento Tipo de evento (Tipo de participação)	Instituição / Organização
2022/01/01 - 2022/04/22	Local Organizing Committee of the 6th International School on Deep Learning. (2022/04/18 - 2022/04/22) Outro (Membro da Comissão Organizadora)
2020/03/01 - 2020/11/06	Local Organizing Committee of the 21st International Conference on Intelligent Data Engineering and Automated Learning (IDEAL). (2020/11/04 - 2020/11/06) Conferência (Membro da Comissão Organizadora)	Universidade do Minho Centro ALGORITMI, Portugal

Participação em evento

	Descrição da atividade Tipo de evento	Nome do evento Instituição / Organização
2024/07/15 - 2024/07/19	Participant in the European Summer School on Artificial Intelligence Conferência	The European Summer School on Artificial Intelligence
2021/07/28 - 2021/07/28	Applied Artificial Intelligence: PAMWater's Case Study Seminário	Applied Artificial Intelligence Data Science Portugal, Portugal
2021/02/05 - 2021/02/05	Predictive Models in the context of Environmental Pollution Seminário	Programa Doutoral MAPi Universidade do Minho, Portugal
2016/11/17 - 2016/11/19	Participant in the Advanced School on Artificial Intelligence applied to the development of Digital Games. Congresso	Advanced School on Artificial Intelligence applied to the development of Digital Games Instituto Politécnico do Cávado e do Ave, Portugal

Curso / Disciplina lecionado

	Disciplina	Curso (Tipo)	Instituição / Organização
2026/02 - Atual	Sensorização e Ambiente	Inteligência Artificial (Mestrado integrado)	Universidade do Minho, Portugal
2023/09/01 - Atual	Sistemas Inteligentes	Engenharia Biomédica (Mestrado integrado)	Universidade do Minho, Portugal
2023/02/01 - Atual	Agentes e Sistemas Multiagente	Engenharia Informática (Mestrado integrado)	Universidade do Minho, Portugal
2023/02/01 - Atual	Aprendizagem e Decisões Inteligentes	Engenharia Informática (Licenciatura)	Universidade do Minho, Portugal
2021/09/01 - 2025/06/01	Inteligência Artificial	Licenciatura em Engenharia Informática (Licenciatura)	Universidade do Minho, Portugal
2022/02/01 - 2022/06/30	Laboratórios de Algoritmia I	Licenciatura em Ciências da Computação (Licenciatura)	Universidade do Minho, Portugal
2022/02/01 - 2022/06/30	Linguagens para Computação Numérica	Licenciatura em Física (Licenciatura)	Universidade do Minho, Portugal
2022/02/18 - 2022/04/07	Ambientes Inteligentes para a Saúde	Mestrado em Engenharia Biomédica (Mestrado)	Universidade do Minho, Portugal
2021/09/01 - 2022/02/01	Inteligência Artificial em Engenharia Biomédica	Licenciatura em Engenharia Biomédica (Licenciatura)	Universidade do Minho, Portugal
2020/10/03 - 2020/11/15	Inteligência Ambiente: Tecnologias e Aplicações	Mestrado Integrado em Engenharia Informática (Mestrado integrado)	Universidade do Minho, Portugal

Expedição científica

	Descrição da atividade	Instituição / Organização
2025/07/14 - 2025/07/25	This mission aimed to strengthen knowledge in the field of anomaly detection. At the University of Salamanca, I was in direct contact with specialists in the department of Informatics and Automation. The knowledge acquired during this stay focused on its application within the scope of predictive and explainable models for environmental monitoring, namely in detecting anomalies in water quality in WWTPs and energy consumption. During this period, I also delivered a talk entitled "Artificial Intelligence for a Greener Tomorrow" and established founda	Universidade de Salamanca, Espanha
2022/09/06 - 2022/09/06	The mission aimed to strengthen knowledge on the topic of anomaly detection. At the University of A Coruña, I was in direct contact with different specialists in the field, with a robust scientific component published over the last few years. The knowledge acquired during this mission focused on its application within the scope of the project, namely in detecting anomalies in water quality in WWTPs and energy consumption.	Universidade da Coruña - Campus de Esteiro, Espanha

Membro de associação

	Nome da associação	Tipo de participação
2016/01/01 - 2017/07/01	Recreational and Cultural Association of the University of Minho	Participation and organization of cultural activities at the University of Minho.

Membro de comissão

	Descrição da atividade Tipo de participação	Instituição / Organização
2020/11/04 - 2020/11/06	Session Chair in the 21st International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) Membro

Distinções

Prémio

2024	Best Paper Award on Smart Cities, 25th International Conference on Intelligent Data Engineering and Automated Learning
2022	3rd Best Paper, 17th Ibero-American Conference on Artificial Intelligence (IBERAMIA 2022)
2020	Best Application Paper, 17th International Conference on Distributed Computing and Artificial Intelligence (DCAI)