(EP) COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

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.

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:

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

- intelligent systems

- cognitive vision

- advanced digital image processing and analysis and image understanding

- application of ICT and intelligent technologies in environmental protection

- advanced Internet technologies

- modelling and control of complex systems