Computer and information sciences

We have led numerous competitive research projects, among others, MoDSOA, DArDOS and FAME, supported by the Spanish Ministry of Science and Innovation and European funds (ERDF), and SmartHealthyPort supported by the International Campus of Excellence in Marine Science (CEIMAR). Besides, we have participated in other projects, networks and proposals led by other research groups, such as H2020 European projects.

The main research interests are in the field of signal and image processing, with particular reference to Synthetic Aperture Radar (SAR) and microwave remote sensing.

Her most significant scientific contributions are the following:

-    development of radar imaging techniques based on one bit coding of the received signal, that can be implemented for real-time processing on simple low cost architectures;

-    development of statistical techniques for moving target detection using SAR systems

Inclusive EdTech Research Group is dedicated to research and development of advanced learning environments for regular students and students with difficulties. Emphasizing individualized approaches for students with learning difficulties, the group explores how virtual learning environments can be customized to meet unique needs. We also investigate factors influencing technology acceptance and usability by students and teachers.

In the course of his researches Angelo Ciaramella is mainly concerned with Computational Intelligence and Machine Learning  techniques for Data Mining and Data Processing. In particular, he is concerned with Neural Network-based techniques for Principal Component Analysis, Independent Component Analysis, Autoencoder, Dictionary Learning and Compressive Sensing in signal processing, audio streaming, feature extraction and Blind Source Separation.

The main activities of CINTAL involve the research and development of new technologies in the field of Electrical and Computers Engineering. The research Team is involved in projects that are related with Underwater Communications, Computer Vision, Smart Systems, Internet of Things, Artificial Intelligence and Smart Grids, among others.

CEOT is a research center based in the University of Algarve that was established in 2003 as a result of a collaborative effort of several young scientists in the areas of electronics, optoelectronics and telecommunications. Today CEOT is composed of a multidisciplinary blend of researchers in the fields of informatics, computer science, electronics, physics and biology, following a research strategy towards an integrated approach to networks, electronics and sensing applications in biology.

The research activities of the Applied Mathematics Group of the UPN focus on the development of mathematical models, methods and algorithms and simulation procedures to solve complex problems in the financial-economic sector and support the growth of both traditional financial institutions, such as banks and insurance companies, and innovative companies. Research topics include, but are not limited to:

e-Tourism - This includes applications for business management and tourist destinations.  It also includes more specialized issues such as helping with risk management, local restaurants (e-menu) or local lodging (e-booking), the contribution of new types of economy, namely the sharing economy and its respective IT platforms.

The Smart System Laboratory (SSLab) comprises three specialized units [https://smartsys.ualg.pt], namely: