INESC TEC
INESC TEC
INESC TEC
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Paulo Moura Oliveira

Paulo Moura Oliveira

Senior Researcher

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.

Publications

The AI Elephant in the Room: ChatGPT in Control Engineering Education

de Moura Oliveira, P;Vrancic, D;

2025

IFAC-PapersOnLine

PID Control with TCLab: An Unified Experiment for Undergraduates

P.B. de Moura Oliveira;J. Boaventura Cunha;

2025

IFAC-PapersOnLine

The First Feedback Control Class: A Unique and Unrepeatable Event

P.B. de Moura Oliveira;

2025

IFAC-PapersOnLine

Systematic review of predictive maintenance practices in the manufacturing sector

Benhanifia, A;Ben Cheikh, Z;Oliveira, PM;Valente, A;Lima, J;

2025

INTELLIGENT SYSTEMS WITH APPLICATIONS

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Supervised Theses

Chat Bot -o diagmóstico de bolso

Duarte Rui Afonso Gomes Tavares do Amaral

M - 2019

UTAD-ECT

Revisão de técnicas de pesquisa inspiradas em enxames

Daniel da Silva Duarte

M - 2021

UTAD-ECT

Técnicas de aprendizagem máquina aplicadas à covid-19

Milene Sofia Alves Fraga

M - 2022

UTAD-ECT

Classificação de doenças pulmonares obstrutivas crónicas

Inês de Almeida

M - 2022

UTAD-ECT

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Centres

Robotics in Industry and Intelligent Systems

At the Centre for Robotics and Intelligent Systems, we develop innovative solutions to leverage robotics in the industrial, agricultural, and forestry contexts, driving the digital transformation of the industry. We take a practical approach - from design to deployment - to test the navigation and localisation of mobile robots, explore advances in 2D/3D industrial vision and advanced detection, while also focusing on industrial and collaborative robotics, as well as human-robot interfaces. Our TRIBE LAB is fertile ground for innovative ideas about the agriculture of the future; we develop prototypes and promote excellence in agricultural robotics and IoT technology: with prototypes, advanced sensors (LiDAR, AI cameras), and rapid prototyping tools, we accelerate the development of solutions for the agroforestry sector. We are also present at the iiLab, where we combine applied research, technological demonstration, and controlled environment testing, promoting the integration of emerging technologies into industry. From intelligent robotic cells and cyber-physical systems to data analysis and AI, it is an innovation space where companies can experiment with and validate solutions for the factory of the future. With a multidisciplinary team, and following European agendas, our research work combines fundamental science and application, impacting the design of solutions for Industry 4.0, fostering competitiveness and the digital transformation of the sector.

Robotics in Industry and Intelligent Systems

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