Funded Projects

 

The Swedish e-Science Research Centre (SeRC) is formed by the universities Kungliga Tekniska högskolan (KTH), Stockholms universitet (SU) and Karolinska institutet (KI) and Linköpings universitet (LiU) around the two largest high performance computing centers in Sweden, the National Supercomputer Centre (NSC) at LiU and PDC at KTH.

SeRC consists of three parts, the SeRC communities, the supercomputer centres and the application experts. The SeRC communities support collaboration on several levels. Each of the communities comprises computer experts, e-Science method developers and scientists from application areas who jointly run e-Science projects. SeRC has started ten e-Science communities, four communities focusing on core e-Science methods: distributed and parallel techniques, data management, visualization, and numerical analysis and six applied e-Science communities bioinformatics, complex diseases, molecular simulation, climate modelling, FLOW and electronic structure.

 


ELLIIT (Excellence Center at Linköping-Lund in Information Technology) Funded within the Department of Education's increased support for Strategic Research Areas. ELLIIT is a network organization for Information and Communication Technology (ICT) research at Linköping, Lund, Halmstad and Blekinge, which has been created to support and enhance an internationally acknowledged research environment in these areas.

For instance, our research focus on scalable rendering to acquire the possibility of visualizing medical data across a large range of computing systems. Utilizing state-of-the-art research in multi-resolution volume rendering, medical data can be compressed for a wide range of systems and network bandwidth requirements. However, this only solves the data transmission part of the problem. A major missing component is the capability of the system to adapt to different platforms with a wide range of computing power.

The project started in 2010 and expires in 2014.

CADICS is an acronym for Control, Autonomy, and Decision-making in Complex Systems and is a broad research area for work within informatics, decision making, and control. The work environment consists of five research groups with different and complementing competences and experiences. Automatic Control (Lennart Ljung), Sensor Informatics (Fredrik Gustafsson), Vehicular Systems (Lars Nielsen), Artificial Intelligence (Patrick Doherty) and Visualization (Anders Ynnerman). The goal is to develop new theory and methods for handling important problems in general decision making. An important aspect is to be able to use and assemble information from several sources to draw correct conclusions from this information.

Specific research issues within visualization are:

  • Large Scale Data
  • Multi-modal Interaction
  • Interactive Environments for Visual Decision Support
  • Visualization for airspace management
The project started in 2008 and expires in 2017.

 

 


The mission of MOVIII is to develop tools and techniques for integrated decision support and autonomy for complex systems, grounded in experience with a wide spectrum of deployed systems and applications.

The work will build on the teams’ core competence in the basic techniques of modeling, visualization and information integration, which are the cornerstones of advanced decision support. It will be carried out in close cooperation with end users and will deal with particular applications primarily to aerial vehicles, automobiles and information systems in health care.

The project started in 2005 and expires in 2010.