Eduardo Pires

E. J. Solteiro Pires received the B.Sc. degree in electrical engineering from the University of Coimbra, Coimbra, Portugal, in 1994, the M.Sc. degree in electrical and computer engineering from the University of Porto, Porto, Portugal, in 1999, and the Ph.D. degree from the University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal, in 2006. He is currently an Auxiliary Professor with UTAD. His current research interests include evolutionary computation, soft computing, multiobjective problems, and robotics.

Domains

Robotics in Industry and Intelligent Systems Artificial Intelligence Bioengineering Power and Energy Systems Robotics

Projects

DBoidS

ROBOCARE

Research and development of modular robotic technology for the introduction of advanced agronomic practices, reducing the reduction of labor burden and the increase in the ergonomics of the operations carried out and the consequent increase in labor productivity and economic profitability of crops.

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Publications

Prediction of Ventricular Tachyarrhythmia Using Deep Learning

Barbosa, D;Pires, EJS;Leite, A;Oliveira, PBM;

2023

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Myocardial Infarction Prediction Using Deep Learning

Cruz, C;Leite, A;Pires, EJS;Pereira, LT;

2023

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

ENHANCING HIGHER EDUCATION TUTORING WITH ARTIFICIAL INTELLIGENCE INFERENCE

Silva, B;Reis, A;Sousa, J;Solteiro Pires, EJ;Barroso, J;

2022

EDULEARN Proceedings - EDULEARN22 Proceedings

Wind Farm Cable Connection Layout Optimization Using a Genetic Algorithm and Integer Linear Programming

Pires, EJS;Cerveira, A;Baptista, J;

2023

COMPUTATION

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Supervised theses

Estudo/implementação de uma solução de armazenamento para um projeto de Hibridização Solar e Eólico

João Miguel Miranda Cardoso

M - 2024

UP-FEUP

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.