University of Naples Parthenope

The members of LaTEC (Laboratory of Thermo-fluid dynamics, Energy, and HVAC systems) of the Engineering Department at the Università degli Studi di Napoli "Parthenope" have international scientific experience in the fields of computational thermo-fluid dynamics, fuel cells, geothermal energy conversion, energy planning, polygeneration systems, renewable energy sources, thermoeconomic analysis of energy systems and biomedical engineering.

The group is dedicated to the following research activities:

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

Her research is mainly focused on corpus linguistics, digital humanities applied to the study of specialty discourses (fields: marine biology, blue economy, environmental and animal rights discourses - animal causes), morpholessical and semantic creativity in contemporary French, vocabulary teaching in L2 French. He is a member of several national and international research projects on the automatic and semi-automatic processing of language from small, medium and large corpora.

The research activity of the Services Law in Italian and European Legal System Group focuses above all on the following areas:

Artificial Intelligence and Law

Technological Innovation and Services Law

Big data

The research activity of the Economics Group focuses above all on the following main areas:

• Empirical evaluation of public policies
• Labor economics
• Circular economy 
• Waste management
• Water resources management
• Economic dynamics and equilibrium in goods, labor and financial markets
• Underground economy and tax evasion
• Business cycle
• Energy transitions and economic growth
• Economic History
• Spatial Econometrics
• DSG model
   

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 areas of research include: the development of new materials for energy applications; stabilization/solidification of hazardous industrial solid waste, soils and sediments; the preparation of concrete and geopolymer materials based on fly ash, blast furnace slag, foundry slag, slag from the incineration of municipal solid waste. Other research lines deals with the durability of the products obtained through the formation of calcium silicate and hydrated aluminum trisulphate, even in the presence of chlorides and sulphates; ine