Short CV

Davide Bacciu was born in Nuoro, Italy, on July 29th, 1979.

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 of Pisa.

During Fall 2007 and Fall 2008 he has been visiting at the Neural Computation Research Group at Liverpool John Moores University.

He is a student member of the IEEE, IEEE Computational Intelligence society, Società Italiana Reti Neuroniche (SIREN) and International Neural Network Society (INNS).  

Davide Bacciu's main and updated webpage can be found here.

Grant and Awards

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 Research.

Grant by the Institute for Pure and Applied Mathematics, UCLA, to support participation to the 2005 Graduate 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

Research Interest

• Machine learning
  
• Biologically inspired models of perception and learning
• Machine vision
• BioInformatics
• Computational intelligence in global computing
• Motor Control