Advisors
and Collaborators
Massimiliano Guido
Professor of History of Musical Instruments
Stefan Bilbao
Professor of Acoustics, University of Edinburgh
Stefan Bilbao studied Physics at Harvard University (BA, ’92), then spent two years at the Institut de Recherche et Coordination Acoustique Musicale (IRCAM) under a fellowship awarded by Harvard and the Ecole Normale Superieure. He then completed the MSc and PhD degrees in Electrical Engineering at Stanford University (’96 and ’01, respectively), while working at the Center for Computer Research in Music and Acoustics (CCRMA). He was subsequently a postdoctoral researcher at the Stanford Space Telecommunications and Radioscience Laboratory, and a Lecturer at the Sonic Arts Research Centre at the Queen’s University Belfast.
He currently works on sound synthesis based on physical models of musical instruments, with a particular focus on mainstream numerical simulation techniques, such as, e.g., finite difference methods. Special topics of interest include: Hamiltonian and symplectic methods, distributed nonlinear systems such as strings and plates, estimates of computational complexity, multichannel sound synthesis, and hardware and software realizations.
A sideline is joint work with composers of electroacoustic music. Other interests include virtual analog effect modelling and artificial reverberation design, modelling of electromechanical instruments, shock wave propagation in tubes, numerical absorbing boundaries in acoustics applications, and large-scale audio rendering using graphics processing units (GPUs) in conjunction with the Edinburgh Parallel Computing Centre.
Many of the research directions described above now form part of an ERC-funded project, NESS, running jointly with the Edinburgh Parallel Computing Centre over the period 2012-2017. See the project website for more information:
Fabiana Zama
Professor of Numerical Analysis
Fabiana Zama has been an associate professor of Numerical Analysis since 2006. She carries out her research on optimization and regularization methods for inverse problems.
Her current research interests include studying regularization methods to solve inverse problems in imaging and parameters identification of differential models (up to date publications list).
She performs peer review activities for several scientific journals such as Inverse Problems, Physics in Medicine and Biology and Numerical Algorithms.
Her recent editorial activity includes theMDPI Special Issue“Inverse Problems and Imaging”.
She currently teaches Numerical Analysis courses for an International Graduate Degree in Mathematics and Off-shore Engineering at Bologna.
Stefania Serafin
Professor of Sonic Interaction Design, Aalborg University
Stefania Serafin is professor of Sonic interaction design at Aalborg University in Copenhagen and the leader of the multi-sensory experience lab together with Rolf Nordahl.
She is the President of the Sound and Music Computing association, Project Leader of the Nordic Sound and Music Computing network and lead of the Sound and music computing Master at Aalborg University.
Stefania received her PhD entitled “The sound of friction: computer models, playability and musical applications” from Stanford University in 2004, supervised by Professor Julius Smith III.
Her research on sonic interaction design, sound for virtual and augmented reality with applications in health and culture can be found here: tinyurl.com/35wjk3jn