AIDI · People
Research, engineering and coordination organised around industrial problems.
AIDI Coordinator
Eugénio Alexandre Miguel Rocha
Associate Professor at the Department of Mathematics of the University of Aveiro, with an initial degree in Computer Science — Artificial Intelligence — and a PhD in Mathematics in Nonlinear Control Theory. His work connects applied mathematics, data science, machine learning, optimisation and computational development, with participation and coordination in national and collaborative manufacturing and logistics projects.
Ciência Vitae ↗ UA profile ↗Degree in Computer Science (Artificial Intelligence), University of Coimbra, 1994
MSc in Mathematics, University of Aveiro, 1998
PhD in Mathematics — Nonlinear Control Theory, University of Aveiro, 2004
More than 100 publications and more than 100 communications reported in Ciência Vitae
Experience in P2020, P2030 and PRR Agenda projects for manufacturing and logistics
AIDI Vice-Coordinator
Pedro Filipe Pessoa Macedo
Assistant Professor at the Department of Mathematics of the University of Aveiro and an integrated CIDMA researcher, with a PhD in Mathematics from UA. His work spans statistics, multivariate analysis, data science and applied quantitative methods, with research and teaching experience focused on real-world problems.
AIDI Vice-Coordinator
Rui Jorge Ferreira Soares Borges Lopes
Assistant Professor at the Department of Economics, Management, Industrial Engineering and Tourism of the University of Aveiro and an integrated CIDMA researcher, with a PhD in Industrial Management. His research focuses on Operations Research, location and routing optimisation, logistics and decision support systems, with a strong connection to industrial problems.
AIDI brings together researchers, students, fellows and engineering profiles involved in applied projects at CIDMA and the University of Aveiro.
Teams are assembled according to the problem and may combine expertise in applied mathematics, statistics, optimisation, data science, machine learning, software engineering, advanced computing, automation, edge computing, computer vision, data security and R&D management.