AES Member Profile

Company: Tecnológico de Monterrey, Puebla Campus

Status: Member
Member since: 2020
Technical Committee: Machine Learning & Artificial Intelligence
Primary Section: Mexico

Company Website: https://tec.mx/es/puebla
Other Professional Website: https://tec.mx/en/creative-studies/ba-in-music-technology-and-production
Personal Website: http://flavioeverardo.com

Audio Fields:

• Educational Institutions - Educator
• Intelligent Music Production Researcher

Job Duties:

• Educator
• Producer
• Researcher
• Software Designer
• Software Engineer
• Sound Designer

About

Full-time professor and researcher at the Tecnológico de Monterrey, Puebla Campus in the Music Technology undergraduate program (LTM).
AES Faculty Advisor. AES ID Member: 313194 and member of the AES Technical Committee on Machine Learning and Artificial Intelligence (TC-MLAI).

Doctoral candidate (Ph.D.) at the University of Potsdam, Germany with research on AI under the area of Knowledge Representation and Reasoning (KRR), and researcher in the area of Intelligent Music Production (IMP).

Research:
+10 refereed international publications in AI, Music Production, and IMP.
1 supervised undergraduate thesis on data mining and musical composition with AI in Potsdam, Germany.
Using Pattern Mining and Answer Set Programming to Compose Music by Leo Pinetzki.

Invited to be DAW tester by Ableton for Live 11 and Faders by
DAW Tester: Live 11: beta, Faders: alpha and beta

Co-founder of 750 Records, an independent electronic music label.

Professional audio plugin developer
C++, C#, C, JavaScript, Python, Csound, Max/Pd

Leader of the Tec Audio Coders initiative.
http://www.tecaudiocoders.com

Education Background

Engineering and Masters in Computer Science at Universidad de las Américas Puebla, Mexico
Master's thesis: Music Composition with Artificial Intelligence

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