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José Martins

I am a lecturer at the Department of Mathematics of the School of Technology and Management, Polytechnic Institute of Leiria, since 2004.

My PhD was taken at University of Minho, in 2010, under the supervision of Professor Alberto Adrego Pinto and Professor Nico Stollenwerk. The title of my PhD thesis was "Thresholds for epidemiological outbreaks".

Domains

Artificial Intelligence

Projects

MDG

Publications

Applications of Fractional Calculus to Epidemiological Models

Skwara, U;Martins, J;Ghaffari, P;Aguiar, M;Boto, J;Stollenwerk, N;

2012

NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2012), VOLS A AND B

Scaling of Stochasticity in Dengue Hemorrhagic Fever Epidemics

Aguiar, M;Kooi, BW;Martins, J;Stollenwerk, N;

2012

MATHEMATICAL MODELLING OF NATURAL PHENOMENA

A scaling analysis in the SIRI epidemiological model.

Martins, J;Pinto, A;Stollenwerk, N;

2009

Journal of biological dynamics

Dynamics and Biological Thresholds

Burroughs, NJ;Ferreira, M;Martins, J;Oliveira, BMPM;Pinto, AA;Stollenwerk, N;

2011

DYNAMICS, GAMES AND SCIENCE I

View all publications

Supervised Theses

Evaluating Fee Structures in Oracle Pricing Perpetual Futures Decentralized Exchanges: An Agent-Based Modelling Approach

Diogo Mendes Sampaio

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.

Information and Contacts

Phone

+351220402963