Jožef Stefan Institute (JSI)

Jožef Stefan Institute
Jamova 39, Ljubljana,
Research group:
Department of Communication Systems
Jamova 39, Ljubljana,

Institution Background

Jožef Stefan Institute (JSI), established in 1949 and named after one of the most distinguished physicists of the nineteenth century (Stefan-Boltzmann law, Stefan problems), is the leading Slovene interdisciplinary research organization covering a broad spectrum of basic and applied research in natural sciences and technology. At present, it has a research staff of more than 900, including about 300 post-graduates and 400 doctors of science, 170 of them having permanent professorships or temporary teaching assignments at universities. Currently, it is cooperating on or leading more than 50 EU FP7 projects. Research work at the institute is carried out in 26 research departments in the areas of Physics, Chemistry and Biochemistry, and Information and Communication Technologies & Electronics.


Research Group Background

The key JSI personnel cooperating in NESUS project are with the Department of Communication Systems (E6), Parallel and Distributed Systems Laboratory. The department employs 24 researchers, 11 of them having a PhD in electrical engineering or computer science, with experience from national and international projects reflected also in numerous scientific publications. The members are currently cooperating on three FP7 projects: SunSEED, ABSOLUTE, and CITI-SENSE. The E6 department is a member of international bodies and associations: ISI-TP, ASMS-TF, W3C, and STM ICT. It has close scientific cooperation with Slovenia’s biggest health care institution University Medical Centre Ljubljana, with the University of Ljubljana, and with the Technological park of Ljubljana.


Major Interest in Action Scientific Topics

  • sequential/parallel and distributed programming/computing and code optimization,
  • parallel/distributed data analytics and visualization,
  • customized programming support for numerical solution of demanding problems in heat transfer, material transport, CFD,
  • expert knowledge and experience in meshless methods for solving PDEs,
  • molecular dynamics simulation (fine and coarse grain),
  • single- and multi-objective optimization using evolutionary algorithms,
  • numerical modelling and simulations in biomedicine, e.g. cryotherapy, electrical activity of heart, biomechanics,
  • bioengineering and advanced signal processing.