Charilaos Papaioannou

I love the interdisciplinary approaches that incorporate both engineering and knowledge from social sciences in order to solve a problem. I am particularly interested in Music Information Retrieval and Computational musicology where I am utilizing deep learning models to transfer knowledge and reveal correlations between music cultures. My goal is the development of a methodology able to process world music and identify similarities or influences between pieces of different genres, with different instrumentations or even from different cultures.

In general, the combination of dense scientific knowledge with accurate "hands-on" engineering approach is a key element for me for every project I participate in. The several years of experience, in both Industry and Academia, have provided me with soft and hard skills I am happy to contribute in diverse collaborative environments.

Please, find more information in my detailed CV.

Research/engineering interests:

• Machine learning
• Music Information Retrieval
• Computational Musicology
• Multimodal learning
• Data Analysis
• Software engineering