INESC TEC
INESC TEC
INESC TEC
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Ricardo Teixeira Sousa

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.

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

View all publications

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

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