Cookies and Privacy

The University uses cookies on this website to provide the best experience possible including delivering personalised content on this website, other websites and social media. By continuing to use the site you agree to this, or your can go to our cookie policy to learn more and manage your settings.

Niccolò Granieri

Niccolò Granieri

Lecturer in Digital Media Technology

Email:
Niccolo.Granieri@bcu.ac.uk

Niccolò Granieri is a lecturer and researcher in Digital Media Technology within the School of Computing and Digital Technology. He is currently part of the BIFCA program teaching both students in Birmingham and in Wuhan, China.

He first joined Birmingham City University as a research assistant in 2015, becoming a PhD student in Music Technology the following year. He started working as a visiting lecturer throughout his PhD teaching several different modules across the faculties of Music Technology at the Royal Birmingham Conservatoire and Digital Media Technology. The modules taught in Birmingham City University are Audio Systems, Creative Interactive Music Technology Performance, Techniques of Electronic Music, New Interfaces for Musical Expression and Computer Programming.

As a software developer, Niccolò started by developing a set of modules for Integra Live, to replicate a modular synth environment. Since then, Niccolò has worked as a freelancer for different companies and open source projects. In the past years, he developed Reach: an open source application that gathers data from the Leap Motion hand tracking sensor and makes it available to a variety of creative applications. He has used this software to create an augmented instrument of the same name tailored to pianists, enabling them to modulate sound parameters and effects using the nuanced gestures present in their pianistic technique. Niccolò has also collaborated on international projects developing SpanExtract, a command line tool for conversation transcript parsing used in language analysis projects. More recently, he has taken part in the ml.lib project as a junior developer, promoting and developing the machine learning library for Max and Pure Data.

Areas of Expertise
Qualifications
Memberships
Research
Publications
Links and Social Media