ICNMC aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Music Studies, and discuss the practical challenges encountered and the solutions adopted.
April 13-14, 2019 Treviso - Italy
Plymouth University, UK
Eduardo R. Miranda is a composer and Artificial Intelligence (AI) scientist. He studied Music Technology at the University of York and received a PhD on the topic of music with AI from the University of Edinburgh. Currently, he is Professor in Computer Music at Plymouth University where he heads the Interdisciplinary Centre for Computer Music Research (ICCMR), which is pioneering the development of music neurotechnology and biological computing for music. He is emerging as an influential composer for his work at the crossroads of music and science. His music, which includes pieces for symphonic orchestras, chamber groups and solo instruments, with and without live electronics, has been played by ensembles such as Bergersen String Quartet, Leo String Quartet (from the City of Birmingham Symphony Orchestra), Sond'Ar-te Electric Ensemble, Scottish Chamber Orchestra, BBC Concert Orchestra and Ten Tors Orchestra, to cite but a few. In addition to concert music, he has composed for theatre and contemporary dance. The inside story of his acclaimed computer-aided symphony, Mind Pieces, is revealed in the e-book Mind Pieces, published by Intelligent Arts (http://intelligentarts.net/2016/08/miranda).
Unniversity of Milan, Italy
Stavros Ntalampiras is an Assistant Professor at the Department of Computer Science of the University of Milan and an Associate Researcher of the National Council of Italy. He received the engineering and Ph.D. degrees from the Department of Electrical and Computer Engineering, University of Patras, Greece, in 2006 and 2010, respectively. He has carried out research and/or didactic activities at Politecnico di Milano, the Joint Research Center of the European Commission, the National Research Council of Italy, and Bocconi University. Currently, he is an Associate Editor of IEEE Access and a member of the IEEE Computational Intelligent Society Task Force on Computational Audio Processing, while his research interests include content-based signal processing, audio pattern recognition, machine learning, and cyber physical systems.
To be announced