Expertise

Gabriel Bibbó is an R&D Engineer with the AI for Sound group at the University of Surrey's CVSSP. He holds a BSc in Electrical Engineering (UdelaR) focused on DSP and embedded systems, and an MSc in Sound & Music Computing from UPF Barcelona, where his research on harmonic mixing was published (Springer). Gabriel's industry experience includes developing embedded Python solutions for Bang & Olufsen (B&O) audio and automation systems at Ikatu, along with roles related to Google and KPMG. This practical engineering background, combined with his experience as a DJ, informs his current work on Sound Event Detection, embedded AI robustness, and ethical AI. He aims to develop interactive, real-time AI music generation tools.

Links

Organizational Affiliations

Research Engineer (Research Fellow) in Sound Sensing, School of Computer Science & Electronic Engineering, Faculty of Engineering and Physical Sciences, University of Surrey

Education

Sound and Music Computing
01/09/2020–31/08/2021, Master Degree, Pompeu Fabra University (Spain, Barcelona) - UPF

Thesis title: Towards a new compatibility measure for harmonic EDM mixing. Supervisor: Ángel Faraldo

Electrical Engineering
15/02/2012–20/12/2017, Bachelor of Engineering (BEng, BE, BSE, BESc, BSEng, BASc, BTech, BSc(Eng), AMIE, GradIETE), Universidad de la República (Uruguay, Montevideo)

Thesis title: Autonomous Mobile Robots Comunicated by Software Defined Radio. Supervisor(s): Pablo Belzarena, Federico Larroca