
Ricardo Teixeira Sousa
Assistant Researcher
Ricardo Sousa has a PhD in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto since 2011 and is currently a assistant researcher and assistant to the coordination at the Laboratory of Artificial Intelligence and Decision Support (LIAAD) at INESC TEC. He participated in European projects (e.g., MAESTRA), national (e.g., ADIRA4.0) and scientific projects with companies (e.g., NDTech-Amorim) related to Signal Processing, Data Mining and Machine Learning. Currently, he coordinates teams in a PRODUTECH mobilizing program (related to Production and Quality Management) and in a P2020/FCT/MIT Portugal project (Technology for power transformers). Has specific interest in the areas of Maintenance and Predictive Quality, Process Mining and Forecasting with application in the field of Industry/Production. He lectured at the Faculty of Engineering of the University of Porto, in programming and information systems subjects. Co-supervised/supervised more than 17 master's dissertations in the areas of Signal Processing and Data mining/Machine Learning.
Domains
Publications
Predicting US Energy Consumption Utilizing Artificial Neural Network
Pasandidehpoor, M;Mendes Moreira, J;Rahman Mohammadpour, S;Sousa, RT;
2023
Handbook of Smart Energy Systems
Time-Series Pattern Verification in CNC Machining Data
Silva, JM;Nogueira, AR;Pinto, J;Alves, AC;Sousa, R;
2023
PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT I
DFT-based frequency estimation under harmonic interference
Ferreira, A;Sousa, R;
2010
Final Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010
Non-iterative frequency estimation in the DFT magnitude domain
Sousa, R;Ferreira, A;
2010
Final Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010
Supervised Theses
Data-Driven Models for Predictive Quality in Precision Metalworking
António Fernando de Lacerda Queiroz e Almeida
M - 2019
UP-FEUP
Data-Driven Models for Predictive Quality in Precision Metalworking
António Fernando de Lacerda Queiroz e Almeida
M - 2019
UP-FEUP
Data-Driven Models for Predictive Quality in Precision Metalworking
António Fernando Lacerda Queiroz Almeida
M - 2020
UP-FEUP
Combination of multi-paradigm models for Power Transformer fault prediction
Francisco José Guedes de Melo Aguiar
M - 2022
UP-FEUP



