University of Salerno

Expertise:

Telecommunications

  • Distributed statistical inference: sensor networks; inferential techniques on graphs; models and algorithms for adaptability and learning; decision techniques for big data.
  • Cybersecurity in telecommunications networks: stochastic models of distributed attacks and design of countermeasures; algorithms for the detection of distributed attacks.
  • Remote sensing: fusion of images from multiple sensors; fusion in the visible (pansharpening); development of fusion algorithms.
  • Reliability of complex systems: classical and Bayesian inferential techniques for degradable technological units; life time estimation and reliability assessment; Markovian and non processes; stochastic reward nets.
  • Detection of gravitational waves: mathematical signal and noise models; time-frequency detection; detection in “near real time”.

Electromagnetic Fields 

  • Application of non-redundant representations of the Electromagnetic Fields for theoretical development and experimental validation of near-field to far-field (NF-FF) transformation techniques with classical non-redundant and innovative scans. These ones have considerable interest from the industrial application point of view. In fact, the non-redundant representations of the Electromagnetic Fields allow a drastic reduction of the time required for the experimental characterization of antennas both reducing the number of measurements in classical scans and using innovative non-redundant scanning techniques (planar, spiral spherical and helicoidal).
  • Theoretical and experimental validation techniques for the compensation of probe positioning errors during the antenna measurements.
  • EMC – Electromagnetic Compatibility Tests carried out in accordance with most of the current regulations concerning emissions and susceptibility.

 

Address: Dipartimento di Ingegneria dell’Informazione ed Elettrica e Matematica Applicata ,Via Giovanni Paolo II, 132 – 84084 Fisciano (SA)

Phone: +39 089 96 4301 [089 96+ext]

Fax: +39 089 96 4218

 

Address: Dipartimento di Ingegneria Industriale, Via Giovanni Paolo II, 132 – 84084 Fisciano (SA)

Phone: +39 089 96 4280 [089 96+ext]

Fax: +39 089 96 8730

 

E-mailname.surname@cnit.it

Research Unit Responsible: Prof. Francesco D’AGOSTINO

University Representative in the Shareholders’ Assembly: Prof. Vincenzo MATTA

 

Members of the Research Unit

SURNAME NAME EXT
Addesso Paolo 2626
D’Agostino Francesco 4280
Di Mauro Mario 3480
Ferrara Flaminio 4259
Gennarelli Claudio 4297
Guerriero Rocco 4259
Longo Maurizio 4291
Marano Stefano 4269
Matta Vincenzo 4301
Migliozzi Massimo 4299
Postiglione Fabio 2626
Rarita’ Luigi 2165
Restaino Rocco 4350
Riccio Giovanni 4285