Sónia Dias

I am a professor at the Scientific Area of Mathematics in the School of Technology and Management of the Polytechnic Institute of Viana do Castelo (ESTG-IPVC) and member of the Laboratory in Artificial Intelligence and Decision Support (LIAAD – INESC TEC) of the University of Porto. I have a Msc in Mathematics by the University of Minho and a PhD in Applied Mathematics by the University of Porto in 2014.

My main research lines are Data Analysis; Symbolic Data Analysis (Analysis of multidimensional complex data) and Linear regression models. I work in the development and application of methods adapted to data carrying a lot of information. This research is included in the framework of Symbolic Data Analysis.

Moreover, I collaborate with bio-informaticians and chemistry researchers for the development of mathematical models applied to agent-based modelling.

Domains

Artificial Intelligence and Decision Support Artificial Intelligence Bioengineering

Projects

MaLPIS

Aprendizagem Automática para Deteção de Ataques e Identificação de Perfis Segurança na Internet

Publications

Coccoid form of Helicobacter pylori as a morphological manifestation of cell adaptation to the environment

Azevedo, NF;Almeida, C;Cerqueira, L;Dias, S;Keevil, CW;Vieira, MJ;

2007

APPLIED AND ENVIRONMENTAL MICROBIOLOGY

Survival of gastric and enterohepatic Helicobacter spp. in water: Implications for transmission

Azevedo, NF;Almeida, C;Fernandes, I;Cerqueira, L;Dias, S;Keevil, CW;Vieira, MJ;

2008

APPLIED AND ENVIRONMENTAL MICROBIOLOGY

Agent-based model of diffusion of N-acyl homoserine lactones in a multicellular environment of Pseudomonas aeruginosa and Candida albicans

Perez Rodriguez, G;Dias, S;Perez Perez, M;Fdez Riverola, F;Azevedo, NF;Lourenco, A;

2018

BIOFOULING

Descriptive Statistics based on Frequency Distribution

Dias, S;Brito, P;

2022

Analysis of Distributional Data

View all publications

Supervised theses

Development of High-Density Surface Electromyography Signal Processing and Machine Learning Algorithms for Clinical Use

Francisco Samuel Neves Fidalgo

M - 2024

UP-FEUP

Centres

Artificial Intelligence and Decision Support

Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.