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ABOUT ME

Computer science and music were always my main interests, so it was natural to combine these in my research. Deep learning opens many opportunities for exciting research is music classification, transcription, processing, and generation, which is currently my research focus. In the past, I also did research in software reverse engineering with a focus on software clustering.

EDUCATION

RESEARCH INTERESTS

Audio Processing

Machine Learning

Deep Learning

Automatic music classification

Automatic music transcription

Automatic music generation

Automatic music mixing / mastering

Software Engineering Education​

1992

National Technical University of Athens

BEng - Electrical and Computer Engineering

1995

University of Toronto

MSc - Computer Science

2001

University of Toronto

PhD - Computer Science

2016

Metalworks Institute

Diploma in Audio Production and Engineering

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