Algoritmi | User | Pedro José Costa de Oliveira
Pedro José Costa de Oliveira
Pedro José Costa de Oliveira
At LASI
Other with MSc
Member of the CALG R&D Unit
Academic Degree
MSc
Current Position
Other at Escola de Engenharia da Universidade do Minho
Personal Webpage
Personal Email
pedro.jose.oliveira@lasi.iotech.ptOrcid
0000-0001-7143-5413Researcher ID
FCT Public Key
J8250917AqLz
Ciência ID
Google Scholar
About Me 
Pedro Oliveira is a PhD holder at the School of Engineering of the University of Minho, Braga, Portugal, specifically Doctoral Program in Informatics. He is also a researcher at the ALGORITMI Centre, namely in the Synthetic Intelligence Lab (ISLAB) research group. He holds a Master's degree in Informatics Engineering from the same university. He also is employed at the same University as an Invited Professor giving lesson on Multi-Agent Systems, Data Engineering and application of Machine and Deep Learning models. He has also participated in different events, including Round Tables, Summer Schools and paper presentations at conferences. Moreover, he is the author or co-author of several indexed articles in international conferences and journals. His research interests include Recurrent Neural Networks, where the application of models, such as Long Short-Term Memory or Gated Recurrent Unit, are used to be applied in the context of Time Series Problems. He also uses these to detect anomalies in different systems applied in the same context as before. Additionally, he has also successfully applied Explainable AI to understand what the different Deep Learning models have used to forecast the obtained results. Lastly, in recent times, he investigated frameworks that incorporate Multi-Agent Systems, particularly Agentic AI connected to Reinforcement Learning.
Publications (33)
Exploring Transfer Learning's Impact on the Explainability of Deep Learning Models for Wastewater Treatment Plants' Biogas Production
Expert Systems
2026 | journal-article
Architectures for Agentic AI
2026 | book
Forecasting temperature in geothermal heat pump using deep learning for enhanced residential building energy management
Logic Journal of the IGPL
2026 | journal-article
SMART URBAN POLLUTION MANAGEMENT USING DEEP LEARNING TECHNIQUES FOR NO2 PREDICTION
Journal of Applied Logics-ifcolog Journal of Logics and their Applications
2026 | journal-article
Synthetic Data Augmentation for COD Prediction in WTTPs: A Comparative Study of Deep Learning Models with VARMA and TTS-GAN
2026 | book-chapter
Incdualpathnet : a hybrid architecture proposal for predicting energy production in a wastewater treatment plants
Neural Computing and Applications
2025 | journal-article
A Deep Learning-Based Model to Predict Nitrogen Dioxide in Urban Environments
2025 | book-chapter
Efficiency of the Transformer Model in Time Series Forecasting: A Case Study in Wastewater Treatment Plants
2025 | book-chapter
Employing Explainable AI Techniques for Air Pollution: An Ante-Hoc and Post-Hoc Approach in Dioxide Nitrogen Forecasting
2025 | book-chapter
Towards Efficient Biogas Production: Deep Learning-Based Methane Forecasting in Anaerobic Digesters of Wastewater Treatment Plants
2025 | book-chapter
New decision support system for biogas and electricity forecast in wastewater treatment plants
18th IWA World Conference on Anaerobic Digestion
2024 | conference-poster
A Self-Organizing Map Clustering Approach to Support Territorial Zoning
2024 | book-chapter
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 | journal-article
Geothermal Heat Exchanger’s Temperature Input Sensor Prediction Based on Deep Learning Modelling Technique
2024 | book-chapter
Next-Generation Surveillance: Exploring the Intersection of Artificial Intelligence and Security
Lecture Notes in Networks and Systems
2024 | journal-article
Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants
AI Communications
2023 | journal-article
A Review of Computational Modeling in Wastewater Treatment Processes
ACS ES&T Water
2023 | journal-article
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 | journal-article
Cost-Sensitive Learning and Threshold-Moving Approach to Improve Industrial Lots Release Process on Imbalanced Datasets
2023 | book-chapter
Framework for Representing, Building and Reusing Novel State-of-the-Art 3D Object Detection Models in Point Clouds Targeting Self-Driving Applications
Preprints.org
2023 | journal-article
Image Classification Understanding with Model Inspector Tool
Lecture Notes in Computer Science
2023 | journal-article
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 | journal-article
Applying Anomaly Detection Models in Wastewater Management: A case study of nitrates concentration in the effluent
Ibero-American Conference on Artificial Intelligence
2022 | conference-paper
Modelling anaerobic digestion of sewage sludge: mechanistic models vs machine learning
17th World Conference on Anaerobic Digestion
2022 | conference-abstract
A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants
2022 | book-chapter
Applying Anomaly Detection Models in Wastewater Management: A Case Study of Nitrates Concentration in the Effluent
2022 | book-chapter
Forecasting Energy Consumption of Wastewater Treatment Plants with a Transfer Learning Approach for Sustainable Cities
Electronics
2021 | journal-article
Using Machine Learning to Forecast Air and Water Quality
2021 | conference-paper
Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants
2021 | book-chapter
Multi-step ultraviolet index forecasting using long short-term memory networks
Advances in Intelligent Systems and Computing
2021 | book
Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants
2021 | book-chapter
A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants
2020 | book-chapter
Conflict Resolution in Clinical Treatments
Universidade do Minho
2019 | dissertation-thesis
Exploring Transfer Learning's Impact on the Explainability of Deep Learning Models for Wastewater Treatment Plants' Biogas Production
Expert Systems
2026 | journal-article
Architectures for Agentic AI
2026 | book
Forecasting temperature in geothermal heat pump using deep learning for enhanced residential building energy management
Logic Journal of the IGPL
2026 | journal-article
SMART URBAN POLLUTION MANAGEMENT USING DEEP LEARNING TECHNIQUES FOR NO2 PREDICTION
Journal of Applied Logics-ifcolog Journal of Logics and their Applications
2026 | journal-article
Synthetic Data Augmentation for COD Prediction in WTTPs: A Comparative Study of Deep Learning Models with VARMA and TTS-GAN
2026 | book-chapter
Incdualpathnet : a hybrid architecture proposal for predicting energy production in a wastewater treatment plants
Neural Computing and Applications
2025 | journal-article
A Deep Learning-Based Model to Predict Nitrogen Dioxide in Urban Environments
2025 | book-chapter
Efficiency of the Transformer Model in Time Series Forecasting: A Case Study in Wastewater Treatment Plants
2025 | book-chapter
Employing Explainable AI Techniques for Air Pollution: An Ante-Hoc and Post-Hoc Approach in Dioxide Nitrogen Forecasting
2025 | book-chapter
Towards Efficient Biogas Production: Deep Learning-Based Methane Forecasting in Anaerobic Digesters of Wastewater Treatment Plants
2025 | book-chapter
New decision support system for biogas and electricity forecast in wastewater treatment plants
18th IWA World Conference on Anaerobic Digestion
2024 | conference-poster
A Self-Organizing Map Clustering Approach to Support Territorial Zoning
2024 | book-chapter
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 | journal-article
Geothermal Heat Exchanger’s Temperature Input Sensor Prediction Based on Deep Learning Modelling Technique
2024 | book-chapter
Next-Generation Surveillance: Exploring the Intersection of Artificial Intelligence and Security
Lecture Notes in Networks and Systems
2024 | journal-article
Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants
AI Communications
2023 | journal-article
A Review of Computational Modeling in Wastewater Treatment Processes
ACS ES&T Water
2023 | journal-article
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 | journal-article
Cost-Sensitive Learning and Threshold-Moving Approach to Improve Industrial Lots Release Process on Imbalanced Datasets
2023 | book-chapter
Framework for Representing, Building and Reusing Novel State-of-the-Art 3D Object Detection Models in Point Clouds Targeting Self-Driving Applications
Preprints.org
2023 | journal-article
Image Classification Understanding with Model Inspector Tool
Lecture Notes in Computer Science
2023 | journal-article
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 | journal-article
Applying Anomaly Detection Models in Wastewater Management: A case study of nitrates concentration in the effluent
Ibero-American Conference on Artificial Intelligence
2022 | conference-paper
Modelling anaerobic digestion of sewage sludge: mechanistic models vs machine learning
17th World Conference on Anaerobic Digestion
2022 | conference-abstract
A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants
2022 | book-chapter
Applying Anomaly Detection Models in Wastewater Management: A Case Study of Nitrates Concentration in the Effluent
2022 | book-chapter
Forecasting Energy Consumption of Wastewater Treatment Plants with a Transfer Learning Approach for Sustainable Cities
Electronics
2021 | journal-article
Using Machine Learning to Forecast Air and Water Quality
2021 | conference-paper
Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants
2021 | book-chapter
Multi-step ultraviolet index forecasting using long short-term memory networks
Advances in Intelligent Systems and Computing
2021 | book
Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants
2021 | book-chapter
A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants
2020 | book-chapter
Conflict Resolution in Clinical Treatments
Universidade do Minho
2019 | dissertation-thesis
