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About

Paulo Moura Oliveira received the Electrical Engineering degree in 1991, from the UTAD University, Portugal, MSc in Industrial Control Systems in 1994 and PhD in Control Engineering in 1998, both from Salford University, Manchester, UK. He is a Tenured Associated Professor at the Engineering Department of UTAD University and a researcher at the INESC TEC institute. Currently, he is the director of the PhD Course in Electrical and Computers Engineering in UTAD. His research interests are focused on the fields of control engineering, intelligent control, PID control, control engineering education, evolutionary and natural inspired metaheuristics for single and multiple objective optimization problem solving. He is author in more than 100 peer-reviewed scientific publications.

Interest
Topics
Details

Details

Publications

2019

Integrating MIT app-inventor in PLC programming teaching

Authors
de Moura Oliveira, PB; Boaventura Cunha, J; Soares, F;

Publication
Lecture Notes in Electrical Engineering

Abstract
The potentialities of using mobile devices such as smartphones for teaching/learning purposes are huge. However, in some teaching areas its use is still residual. The use of mobile applications in the context of teaching PLC programming techniques is addressed in this work. The MIT App-Inventor II is deployed to develop mobile applications for learning purposes. An android based application entitled Time-Counts is proposed here, developed to support the teaching/learning process of timers. Preliminary results regarding its use by students are presented. © 2019, Springer International Publishing AG, part of Springer Nature.

2019

Nature Inspired Metaheuristics and Their Applications in Agriculture: A Short Review

Authors
Mendes, JM; Oliveira, PM; dos Santos, FN; Morais dos Santos, R;

Publication
Progress in Artificial Intelligence - Lecture Notes in Computer Science

Abstract

2019

ADRC as an Exercise for Modeling and Control Design in the State-Space

Authors
Huba, M; Oliveira, PM; Vrancic, D; Bistak, P;

Publication
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)

Abstract

2019

Innovating in Control Engineering Teaching/Learning with Smartphones

Authors
Oliveira, PM; Cunha, JB; Soares, F;

Publication
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)

Abstract

2019

Dynamic shannon performance in a multiobjective particle swarm optimization

Authors
Solteiro Pires, EJS; Tenreiro Machado, JAT; de Moura Oliveira, PBD;

Publication
Entropy

Abstract
Particle swarm optimization (PSO) is a search algorithm inspired by the collective behavior of flocking birds and fishes. This algorithm is widely adopted for solving optimization problems involving one objective. The evaluation of the PSO progress is usually measured by the fitness of the best particle and the average fitness of the particles. When several objectives are considered, the PSO may incorporate distinct strategies to preserve nondominated solutions along the iterations. The performance of the multiobjective PSO (MOPSO) is usually evaluated by considering the resulting swarm at the end of the algorithm. In this paper, two indices based on the Shannon entropy are presented, to study the swarm dynamic evolution during the MOPSO execution. The results show that both indices are useful for analyzing the diversity and convergence of multiobjective algorithms. © 2019 by the authors.

Supervised
thesis

2017

SUCESSO DA GESTÃO DE PROJETOS DE DESENVOLVIMENTO DE SISTEMAS DE INFORMAÇÃO - O CASO DOS PROJETOS EM INSTITUIÇÕES PÚBLICAS

Author
Antero Manuel de Carvalho Gonçalves

Institution
UTAD

2017

Diagnóstico Automático no Cancro da Mama

Author
Vera Susana Ribeiro

Institution
UTAD

2017

Simulação de enxames robóticos controlados com meta-heuristicas bio-inspiradas

Author
Guilhermino de Almeida Magalhães Pereira

Institution
UTAD

2017

Otimização e controlo de um braço robótico com técnicas bio-inspiradas

Author
Stefan Correia Vidal

Institution
UTAD

2016

Projeto de controladores pid com meta-heurísticas de inspiração natural e biológica

Author
Nuno Miguel Cardoso Rodrigues

Institution
UTAD