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Bruno Mendes Oliveira

Senior Researcher

Bruno M. P. M. Oliveira is an auxiliary professor at the University of Porto (Portugal) and a researcher of the LIAAD, INESC TEC. He has a degree in Astronomy, a MSc in Applied Mathematics, a PhD in Applied Mathematics and an Habilitation in Clinical Nutrition - Basic Sciences.His research reaches several Mathematical areas that include Dynamical Systems, Game Theory and Statistics.Of his particular interest are applications to Nutrition and Food Sciences (in particular to Clinical Nutrition and Food and Nutrition Consumption Sciences), Immunology (in particular modelling T cell and Tregs), Epidemiology and Economy (in particular in Cournot competition and random pairing markets).He has participated in research projects funded by EU and the Portuguese FCT covering Nutrition and Food Sciences and Mathematics.

Domains

Artificial Intelligence

Projects

MDG

Publications

Adesão ao Padrão Alimentar Mediterrânico, consumo de alimentos ultraprocessados e estudo dos fatores associados: resultados do Projeto UltraTeen

Monteiro, M;Pereira, F;Gaspar, M;Jorge, I;Poínhos, R;Oliveira, BM;Rodrigues, S;Afonso, C;

2024

Acta Portuguesa de Nutrição

Eight Weeks of Intermittent Exercise in Hypoxia, with or without a Low-Carbohydrate Diet, Improves Bone Mass and Functional and Physiological Capacity in Older Adults with Type 2 Diabetes (vol 16, 1624, 2024)

Kindlovits, R;Sousa, AC;Viana, JL;Milheiro, J;Oliveira, BMPM;Marques, F;Santos, A;Teixeira, VH;

2024

NUTRIENTS

Arm anthropometry references for 6 to 18 year-old in Autonomous Region of Madeira, Portugal

Sousa, Bruno;Oliveira, B.M.P.M.;Nunes, J.;Almeida, Maria Daniel Vaz de;

2017

Waist circumference and waist-to-height ratio references for 6 to 18 year-old in Autonomous Region of Madeira, Portugal

Sousa, Bruno;Oliveira, B.M.P.M.;Nunes, J.;Almeida, Maria Daniel Vaz de;

2017

View all publications

Supervised Theses

Evolução da densidade mineral óssea em doentes submetidos a cirurgia bariátrica

Beatriz Isabel Guimarães Pereira

M - 2019

UP-FCNAUP

Défices nutricionais em doentes submetidos a cirurgia bariátrica: relevância da suplementação

Mariana Ferreira e Silva dos Santos Lopes

M - 2019

UP-FCNAUP

Avaliação da Composição Corporal em doentes obesos submetidos a Cirurgia Bariátrica de Revisão

Tiago de Castro Ferreira Neto

M - 2019

UP-FCNAUP

Valor preditivo dos marcadores nutricionais na mortalidade e morbilidade dos doentes em hemodiálise

Rosária Maria Afonso Rodrigues de Melo

D - 2019

UP-FCNAUP

See more supervised theses

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.

Information and Contacts

Phone

+351220402963

Email

[email protected]