Davide Bacciu was born in Nuoro, Italy, on July
He received both the Bachelors degree (summa cum laude) and
Masters Degree (summa cum laude) in Computer Science from the
University of Pisa, in year 2003.
In December 2008, he succesfully completed a PhD in Computer
Science and Engineering at IMT
Lucca, under the supervision of Prof. Antonina Starita and
Prof. Paulo J.G. Lisboa.
Currently he is a post-doc research fellow of the Computational Intelligence
& Machine Learning Group (CI&MLG) at the Department of Computer Science,
University of Pisa.
During undergraduate studies (2001-2002), he spent a semester as
visiting student at the Department
of Information Technology, Uppsala University, under the
Erasmus/Socrates exchange program. During 2004-2005 he was with the
Advanced Robotics Technology
and System Laboratory (ARTS Lab), Scuola Superiore Sant'Anna
Pisa, and collaborated with Robotech srl, a spin-off company
committed to educational and entertaiment robotics. In Spring 2007,
he has been appointed as Teaching Assistant in "Informatica
Generale I" at the Department of Communication Sciences, University
During Fall 2007 and Fall 2008 he has been visiting at the
Computation Research Group at Liverpool John Moores University.
He is a student member of the IEEE, IEEE Computational Intelligence
Italiana Reti Neuroniche (SIREN) and International Neural Network Society
Davide Bacciu's main and updated webpage
can be found here.
2009 E. R. Caianiello Young Investigator Award for the best
italian Ph.D. thesis on Neural Networks and related fields
PhD grant by the Italian Ministry of University and
Grant by the Institute for
Pure and Applied Mathematics, UCLA, to support participation to the
Summer School in Intelligent Extraction of Information from Graphs
and High Dimensional Data.
Grant by the Bio-pattern Network of
Excellence to support participation to CIMED'07
Grant by the IEEE Computational Intelligence Society (CIS) to
support participation to IJCNN'07
- Machine learning
- Biologically inspired models of perception and learning
- Machine vision
- Computational intelligence in global computing
- Motor Control