EDUCATION AND TRAINING
09/1999–07/2004
High school degree
Istituto tecnico professionale Leonardo da Vinci, Foggia (Italy)
Computer expert - Graduated with vote 100/100
09/2004–03/2008
Bachelor degree
Alma Mater Studiorum - University di Bologna, Bologna (Italy)
Department of Computer Science (Summa Cum Laude)
09/2007–03/2011
Master degree
Alma Mater Studiorum - University di Bologna, Bologna (Italy)
Department of Computer Science (Summa Cum Laude)
15/10/2012–14/10/2013
Research assistant
Alma Mater Studiorum - University di Bologna - Department of Computer Science and Engineering,
Bologna (Italy)
Research activity on: modelling and simulation of multi-modal technologies, radio cognitive and
learning algorithms to support self-organizing devices in wireless mobile networks.
01/10/2015–01/04/2016
Visiting student
Sorbonne Universités, Université de technologie de Compiègne, CNRS, Heudiasyc UMR 7253,
Compiègne, France
Research activity on: definition and design of bio-inspired device-to-device protocols optimized for
multi-robot networking; study and analysis of the literature regarding telecommunication and
controlled mobility in autonomous unmanned vehicles networks; design and develop of simulation
tools for the implementation of swarm mobility algorithms for autonomous wireless networks.
01/01/2014–Present
Ph.D. Student
Computer Science and Engineering - Alma Mater Studiorum - University di Bologna - Department of
Computer Science and Engineering, Bologna (Italy)
20/02/2017–Present
Research fellow
Research fellowship on: “Design and performance evaluation of swarm mobility algorithms for self-
organizing wireless networks” - Alma Mater Studiorum - University di Bologna - Department of
Computer Science and Engineering, Bologna (Italy)
RESEARCH TOPICS
Activities
• Swarm intelligence and bio-inspired algorithms for self-organizing networks
• Autonomous mobility in multi-robot system based on communications aspects
• Integration of unmanned vehicles mobility control systems and communication protocols
• Unmanned vehicles aided emergency networks
• Wireless Sensor Networks and Mobile Wireless systems and applications
• Cognitive Radio Networks
