Biomedical Robotics and Biomicrosystems Lab


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Università Campus Bio-Medico

via Álvaro del Portillo, 21 - 00128 Roma

tel: +39 06 22541 9610

Publications of Eleonora Tamilia



Eleonora Tamilia was born in Rome in 14 June 1985.

She received the B.S. Degree in Medical Engineering from the University of Rome “Tor Vergata” in February

2008. The Bachelor thesis title was “Applicazione della PCA su segnali EEG per Brain Computer

Interface” and it was carried out in collaboration with the Department of Neuroscience at Tor Vergata


She received the M.S. Degree with highest honors in Medical Engineering from the University of Rome “Tor

Vergata” in September 2010. Her thesis was entitled “Computer Aided Mass Detection in Mammography:

Features Extraction and Fuzzy-Classification for False Positives Reduction” and it was carried out with

the Signal and Image Measurements and Processing research group of the University of Rome Tor Vergata.

She is currently a PhD Student in Biomedical Engineering at University Campus Bio-Medico di Roma, where

she started working in the Laboratory of Biomedical Robotics and Biomicrosystems in January 2012, under

the supervision of Prof. Eugenio Guglielmelli.

Her research program is focused on:

  • design and development of new devices and methods for analyzing Neurodevelopmental mechanisms in infants, specifically focusing on measuring newborns’ sucking behavior, as indicator of infant neurological status;
  • analysis of data on children’s behavior during neuro-development, objectively assessed via a non-intrusive and ecological mechatronic platform for experiments on intrinsic motivations and skill acquisition.

Master thesis

E. Tamilia (2010), “Computer Aided Mass Detection in Mammography: Features Extraction and Fuzzy-

Classification for False Positives Reduction".

Supervisor: Prof. Marcello Salmeri

Co-supervisors: Ing. Giulia Rabottino, Ing. Arianna Mencattini


Scientific interests:

Method and technologies for human behavior analysis;

Neurodevelopmental engineering;

Experimental Data Analysis.


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