Paula Brito is an Associate Professor at the Faculty of Economics of the University of Porto, where she teaches Statistics and Data Analysis at undergraduate, Master, and PhD levels. She is an integrated member of the Artificial Intelligence and Decision Support Research Group (LIAAD) of INESC TEC, Portugal. She holds a doctorate degree in Applied Mathematics from the University Paris Dauphine (1991), and a Habilitation in Applied Mathematics from the University of Porto (2018). Her current research focuses on the analysis of multidimensional complex data, known as symbolic data, for which she develops statistical approaches and multivariate analysis methodologies. She has been involved in two European research projects and coordinated the Portuguese participation in the H2020 FinTech project. Paula Brito was president of the International Association for Statistical Computing (IASC-ISI) (2013-2015) and has been President of the Portuguese Association for Classification and Data Analysis (CLAD) since 2021. She has authored a large number of papers in highly ranked journals, has been invited speaker at several international conferences, is regularly a member of international program committees, and has been Chair of the international conferences COMPSTAT 2008 and IFCS 2022.
At amim'26, Paula Brito will give a short course entitled Symbolic Data Analysis.
Salvador Naya Fernández is a Full Professor of Statistics and Operational Research at University of A Coruña, where he is affiliated with the Department of Mathematics and the MODES research group. His research focuses on statistical modelling, reliability engineering, design of experiments, industrial quality control, and data analysis, with applications in materials science and engineering. He earned his PhD in Industrial Engineering from the University of A Coruña in 2003 and has contributed extensively to research in statistical quality control, degradation modelling, and functional data analysis. Professor Naya has published widely in international journals and has also held academic leadership roles related to research, innovation, and technology transfer.
At amim'26, Salvador Naya will give a short course entitled Statistical Methods for Quality and Reliability.