Jožef Stefan Institute (JSI) is the leading Slovenian scientific research institute, covering a broad spectrum of basic and applied research. The staff of about 1050 specializes in natural sciences, life sciences and engineering, with many research subjects, such as production and control technologies, communication and computer technologies, knowledge technologies, biotechnologies, new materials, environmental technologies, experimental and theoretical physics, nanotechnologies, and nuclear engineering.
The Institute, while established in the years after the end of the Second World War, started out as a nuclear research institutions, but quickly expanded to other areas. Closely associated with the Academy of Science and University of Ljubljana, it became and important hub for natural science research and represented the core of scientific research in the eyes of the public. Nowadays, we consider the core mission of the Jožef Stefan Institute to be not just the accumulation, but also dissemination and application of knowledge at the frontiers of natural science and technology to the benefit of society at large through the pursuit of education, learning, research, and development of high technology at the highest international levels of excellence. In this role the Institute has been involved in early introduction of modern networking, the World Wide Web, multimedia in the role of promoting science and technology, and many others.
As the main technical partner in B-AIR, Jožef Stefan Institute is engaged to coordinate software and platform development with internal developers and co-funded external experts at Seven Past Nine, providing ICT infrastructural support and network connectivity through the JSI Network Infrastructure Centre group, and including network connectivity, streaming and storage for the platform that underpins the technical part of the project as a whole and ensures the availability of works and the platform after the end of the project.
Another department engaged in the project is the The Department of Knowledge Technologies, a research department with cutting-edge research and applications of knowledge technologies, including data, text and web mining, machine learning, decision support, language technologies, and other information technologies that support the acquisition, management, modelling and use of knowledge and data. Machine learning experts are involved in researching the possibilities of machine learning applied to audio analysis metadata and audio recombination, preparing taxonomies used for the marking up of artistic tracks and in the development off algorithmic/machine learning audio recombination facility for infinity radio platform.
Team
- Andraž Filipčič, system and network engineer, programmer at Network Infrastructure Centre
- dr. Florian Klauser, project coordination at Network Infrastructure Centre
- Ivan Ivanjko, network operator, system support at Network Infrastructure Centre
- dr. Jan Jona Javoršek, head of Network Infrastructure Centre
- Joh Dokler, chief technology officer at Seven Past Nine
- Maja Brajnik, information architect and user interface developer at Seven Past Nine
- Mark Martinec, network engineer and system administrator at Network Infrastructure Centre
- Matjaž Levstek, system operator, signalling engineer, embedded system expert at Network Infrastructure Centre
- Miha Valenčič, systems developer and high availability expert at Seven Past Nine
- dr. Panče Panov, researcher in the area of machine learning, data mining and ontologies at Department of Knowledge Technologies
