Phone 0114 225 3277
Fax 0114 225 3501
E-mail f.caparrelli@shu.ac.uk
Senior Research Fellow, PhD
Background:
- 'Laurea' degree in Electronic Engineering - Universita` degli Studi di Roma 'Tor Vergata', Dept of Electronic Engineering.
- PhD degree from the University of Sheffield, Department of Electronic and Electrical Engineering.
- Research Associate with the Electrical Machines and Drives groupat Sheffield University.
Senior Research Fellow with Sheffield Hallam University since 2000, co-founder of the Microsystems and Machine Vision Laboratory.
Research interests
- computer vision
- swarm and evolutionary robotics
- embedded vision systems
- embedded programming
- open source software and systems
- wireless technologies
Consultancy:
Part of the core consultancy team within MERI, providing consultancy services to the local industry in the following areas:
- machine vision and robotics industrial applications
- food robotics
- embedded systems
- hardware-software integration
- programming
I have worked in the Routes to Innovation (R2i)programme run by MERI and am currently part of the Innovation Futures programme.
Teaching:
Ample experience with supervision of MSc, PhD and Erasmus students. Applications from students seeking to study for a PhD programme as well as for research internships (for a period between four and 12 months, subject to availability) are welcome. Applicants are generally expected to be self-financing. I am also actively involved in Knowledge Transfer Programmes (KTP).
Research collaborations
- Miniman (EU-Esprit, 2000–2002, researcher)
- MiCRoN (EU-FP5-IST, 2002-2005, researcher)
- I-SWARM (EU-FP6-IST, 2004-2007, researcher)
- Replicator (EU-FP7-ICT, 2008–present, principle investigator)
Recent publications
All of Fabio's papers can be accessed at SHURA.
Co-author in P. Levi, S. Kernbach et al. Symbiotic Multi-Robot Organisms: Reliability, Adaptability, Evolution. Springer Book.
Stephen Paul McKibbin, Bala Amavasai, Arul N. Selvan, Fabio Caparrelli, W.A.F.W. Othman. Recurrent Neural Robot Controllers: Feedback Mechanisms for Identifying Environmental Motion Dynamics. Submitted to Artificial Intelligence Review Journal - Special Issue in Hybrid Systems, 2008.
M. Boissenin, J. Wedekind, A.N. Selvan, B.P. Amavasai, F. Caparrelli and J.R. Travis. Computer vision methods for optical microscopes. In Image and Vision Computing Journal, available online (doi:10.1016/j.imavis.2006.03.009).