Academic Coordinators

Ângela Brochado

Ângela F. Brochado is a PhD student of Industrial Engineering and Management of the University of Aveiro, also enrolled as a lecturer of Biostatistics and Linear Algebra and Analytic Geometry in the Department of Mathematics from the same university. Her research interests and work include data-driven integrated solutions for continuous improvement and Kaizen within the scope of industry 4.0. Some of her first work includes the human factor and its relationship with data-driven bottleneck identification.

Bartomeu Coll

Bartomeu Coll is currently full Professor of Applied Mathematics at the University of Illes Balears (Spain) and is member of the Institute of Applied Computing & Community Code (IAC3).

In the field of image processing, his research activity has focused on the processing and analysis of images, more specifically on denoising, impainting and stereo problems. Together with the TAMI imaging group of the UIB, he has led a longstanding cooperation with CNES (the French Space Agency) and a permanent technology transfer contract with the company DxO, one of the world leaders in image processing.

He has more than 60 publications in international journals in the field as well as co-inventor of 4 patents.

Diogo Lobo

Diogo Lobo is a PhD Candidate at the Centre for Mathematics, University of Coimbra, Portugal. Supervised by Sílvia Barbeiro, he is conducting his research on the links between convolutional neural networks and finite difference schemes for partial differential equations, with a focus on image processing techniques based on nonlinear cross-diffusion.

Emilio Carrizosa

Emilio Carrizosa is full professor of Statistics and Operations Research at the University of Seville, Spain.

His recent research focuses on the development of mathematical models and numerical optimization algorithms to address decision making problems in a data-driven (machine learning) framework.

He serves as president of math-in, the Spanish network for mathematics and industry. In the past, he has been president of SEIO, the Spanish Society of Statistics and Operations Research, director of IMUS, the Institute of Mathematics of the University of Seville, and editor in chief of TOP, the Spanish OR journal.

Eugénio Rocha

Eugénio Rocha is an associate professor at the Department of Mathematics of the University of Aveiro, the (co-)coordinator of the thematic lines “From Theory to Computational Frameworks”/CIDMA and “Geometrix”/CIDMA, and (vice)director of the master’s in Mathematics and Applications and master’s in Data Science. His research extends from theoretical to applied mathematics, using techniques of ordinary and partial differential equations, functional analysis, formal logics, nonlinear control theory, and nonlinear optimisation, with applications into biological systems and epidemiology, civil engineering, computational chemistry and nanotechnology, econometrics, and educational serious games. Presently, his major focus goes towards teaching and developing applications to the Industry 4.0, centered on mathematical models, machine learning and big data. He coordinates several projects’ teams in those areas.

Joana Vieira

Joana Vieira has a BSc degree in Mathematics Applied to Technology and Enterprise from Instituto Superior de Engenharia de Lisboa (ISEL). Currently, she’s a master student in Mathematics and Applications with a specialization in Actuarial, Statistics and Operational Research at NOVA School of Science and Technology, NOVA University of Lisbon.

Rafael Henriques

Rafael Henriques is currently a PhD student at the Centre for Mathematics of the University of Coimbra (CMUC) where the research work is carried out within the group of Numerical Analysis and Optimization.

His research interests include mathematical modeling with partial differential equations, development of numerical methods for solving them and analysis of these methods. He also develops research on machine learning and numerical optimization algorithms to solve inverse problems where the estimation of model parameters/functions are the central issue.

Most of his work is based on real applications.

Regina Bispo

Regina Bispo is an Assistant Professor at the Department of Mathematics of NOVA School of Science and Technology and a research member of NOVAMATH Centre of Mathematics and Applications. RB is currently an elected member of the board of directors of the Portuguese Statistical Society (2021-2023). Over the years has regularly collaborated as an enterprise consultant and integrated member on national and international research projects. Responsible for planning and coordinating over 20 advanced courses in Statistics. She has collaborated as Editor and referee in several international peer-reviewed journals. Her main research interests include Applied Statistics, Biostatistics, Multivariate Statistics, and Machine Learning models.