Marco Accame
Professor
Chief Technician
Italian Institute of Technology Genova
Italy
Biography
Marco Accame joined the IIT as Technician Responsible in July 2009, to work on aspects related to embedded software in distributed systems with application to the iCub platform. On January 2012 he moved to the newly established iCub Facility. Marco received his professional education at the University of Genova, Italy, where he obtained a degree in Electronic Engineering in 1992 and a Ph.D. in Electronic Engineering and Computer Science in 1996. Later on he worked in R&D projects with the University of Genova, DIBE, and as a Contract Professor of Telecommunication Systems at the University of Trento. In 1998 he moved to Southampton, UK, to work as Development Engineer at the Digital Terrestrial TV Group of Tandberg Television. His activity was related to the use of digital pre-correction for the optimisation of the OFDM signal used in professional modulators. In 2000 he moved to Cambridge Consultants Ltd, UK, to work as Engineer at the Embedded Digital Systems Group. Some of the public-domain projects he worked on are the following: the world's first GSM mobile videophone, an innovative audio watermarking technique, the spin-off of a company which developed an innovative low power chip for image processing applications. In 2001 Marco moved to Surrey, UK, to work as Principal Engineer at the Radio Systems Division of Telecom Modus, an NEC subsidiary. He worked on aspects related to the standardisation of HSDPA and on its implementation in future UMTS base-stations. In this period Marco attended the 3GPP-RAN1 standardisation meetings to support NEC technology related to the optimisation of HSDPA in presence of soft handover, transmission diversity and voice traffic.
Research Interest
Marco has always been interested in digital signal processing and communications with a particular focus on their software implementation in embedded systems. He could follow his interest working in R&D with well known international companies.
Publications
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Kaiser M, Klingspor V, Millán JDR, Accame M, Wallner F, et al. (1995) Using machine learning techniques in real-world mobile robots. IEEE Expert 10: 37-45.