• Associate Professor of Intelligent Systems and Data Science, Anglia Ruskin University

Having received his MSc and PhD degrees in physics, Domenico worked as a scientific associate at Cern for seven years. His research there mainly focused on the development of an innovative time-of-flight detector for one of the biggest High-Energy Physics experiments for the Large Hadron Collider in Geneva. The detector design was based on Multi-gap Resistive Plate Chambers (MRPC), reaching a sensitivity of 70 picoseconds (the highest ever reached) and its use in a large-scale experiment marked an important milestone for particle physics.

As a music composer and researcher in auditory display, Domenico worked with organisations like Cern and Nasa, creating music from scientific data. He has been involved in the application of grid technologies for science and the arts since the late 1990s, chairing the ASTRA (Ancient instrument Sound/Timbre Reconstruction Application) project for the reconstruction of musical instruments by means of computer models using the European Grid Infrastructure (EGI).

His research interests include data sonification and auditory display, analogue and digital electronics, audio recording and studio techniques, sound synthesis, acoustics and psychoacoustics and distributed computing and network monitoring.

Domenico's research has been featured on several international peer-reviewed magazines (Physics Letters B, Nuclear Instruments and Methods, European Physics Journal) and in interviews for (among the others): Financial Times, The Guardian, The Times, BBC, CNN, Discovery Channel, Discover magazine, New Scientist and Scientific American.

Domenico is a member of the Chartered Institute of Journalists

• 2015–present Associate Professor, Anglia Rusin University

• 2016 PGCert Higher Education, Anglia Ruskin University
• 2002 PhD Physics, Universita' di Salerno
• 1998 MSc Physics, Universita' di Salerno

• MIET
• FHEA
• MISM
• MCIJ

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