(EV) COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

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.

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.

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:

Network technologies Wireless networks Internet of Things Machine learning Mobile Internet Signal processing Network and system security Computer forensics Wireless sensor networks Communication systems.

New teaching methods and strategies are designed and their impact on learning and teaching is evaluated. The influence of different didactic methods and application of technologies in teaching is investigated with the aim of better adoption of new concepts that are introduced during the teaching process. Research is conducted at all levels of education: from preschool to graduate level of education, in the natural environment of students in their classes (groups) in the presence of subject teachers without the influence of external factors.

Central focus of the research of this group includes graph theory (with emphasis on extremal graph theory), complex networks (with emphasis on multiplexes, curriculum networks and network descriptors), mathematical chemistry (with emphasis on molecular descriptors, nanotechnology, peptide antibiotics), and discrete mathematics in general. Our goal is to obtain purely mathematical results and multidisciplinary applications.