Stefano Fasciani

Associate Professor
Image of Stefano Fasciani
Norwegian version of this page
Phone +47-22844146
Room 320
Username
Visiting address Sem Sælands vei 2A ZEB building 0371 Oslo Norway
Postal address P.O. Box 1017 Blindern 0315 Oslo Norway
 
 
Short Bio: Stefano Fasciani has an academic background in electronic engineering and professional experience in the semiconductor industry and in the club scene. His research and personal interest are focused on technologies for sonic arts, including sound and music computing, sound synthesis and analysis, applied machine learning, human computer interaction, networked music performances, digital signal processing, and real-time embedded systems.

Academic Interests

  • Sound and Music Computing
  • Machine Learning
  • Musical Interfaces
  • Sound Synthesis
  • Digital Signal Processing
  • Embedded Systems
  • Computing Architectures
  • Networked Music Performances

Leadership

Teaching

Teaching Portfolio

Supervised Students

Background and Appointments

  • 2015-2019 Assistant Professor, Faculty of Engineering and Information Systems, University of Wollongong, Dubai, UAE

  • 2015-2015 Postdoc Research Fellow, DSP Lab, School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore

  • 2011-2014 Ph.D. Integrative Sciences and Engineering, National University of Singapore

  • 2010-2011 Research Fellow, Multimodal Analysis Lab, Interactive and Digital Media Institute, National University of Singapore, Singapore

  • 2006-2010 DSP Application Engineer, Atmel Corporation, Advanced DSP Center, Rome, Italy

  • 2004-2006 M.Sc. Electronic Engineering, University of Rome Tor Vergata, Italy

  • 2000-2003 B.Sc. Electronic Engineering, University of Rome Tor Vergata, Italy

Research and Education Projects

 

Tags: Music Technology, Sound and Music Computing, Machine Learning, Digital Signal Processing, Embedded Systems, Computing Architectures, Computer Music

Publications

  • Fasciani, Stefano; Erdem, Cagri & Hardwick, Jack Edward (2024). CordChord: A String Instrument with Optical Sensing, Proceedings of the International Conference on New Interfaces for Musical Expression. NIME. ISSN 2220-4792.
  • Memis, Ahmet Emin; Fasciani, Stefano & Erdem, Cagri (2024). The Hyper-Ney: An Enhanced Traditional Flute, Proceedings of the International Conference on New Interfaces for Musical Expression. NIME. ISSN 2220-4792.
  • Fasciani, Stefano; Lucas Bravo, Pedro Pablo; Szorkovszky, Alexander & Glette, Kyrre (2024). Interactive Sonification of 3D Swarmalators, Proceedings of the International Conference on New Interfaces for Musical Expression. NIME. ISSN 2220-4792.
  • Eicke, Kristian; Fasciani, Stefano & Erdem, Cagri (2024). Xyborg: A Wearable Hand-based Instrument for Musical Expression, Proceedings of the International Conference on New Interfaces for Musical Expression. NIME. ISSN 2220-4792.
  • Fasciani, Stefano (2024). Bibliometric Analysis of NIME References and Citations, Proceedings of the International Conference on New Interfaces for Musical Expression. NIME. ISSN 2220-4792.
  • Fasciani, Stefano; Simionato, Riccardo & Tidemann, Aleksander (2024). A Universal Tool for Generating Datasets from Audio Effects, Proceedings of the Sound and Music Computing Conference 2024. SMC Network. ISSN 2518-3672.
  • Simionato, Riccardo & Fasciani, Stefano (2024). Conditioning Methods for Neural Audio Effects, Proceedings of the Sound and Music Computing Conference 2024. SMC Network. ISSN 2518-3672.
  • Simionato, Riccardo & Fasciani, Stefano (2024). Hybrid Neural Audio Effects , Proceedings of the Sound and Music Computing Conference 2024. SMC Network. ISSN 2518-3672.
  • Lucas Bravo, Pedro Pablo; Fasciani, Stefano & Glette, Kyrre (2024). Csound vs. ChucK: Sound Generation for XR Multi-Agent Audio Systems in the Meta Quest 3 Using the Unity Game Engine, Proceedings of the Sound and Music Computing Conference 2024. SMC Network. ISSN 2518-3672.
  • Rahman, Habibur; Llop Recha, Adrian Miguel; Fasciani, Stefano; Hogganvik, Pål Gunnar; Kjelgård, Kristian Gjertsen & Wisland, Dag Trygve Eckhoff (2024). Conure: Surrogate-based Artwork Generator for RFCMOS Integrated Inductors. IEEE International Symposium on Circuits and Systems proceedings. ISSN 0271-4302. doi: 10.1109/ISCAS58744.2024.10558598.

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Published May 6, 2019 3:32 PM - Last modified Apr. 13, 2024 11:32 AM