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Research Strategy and Overview

CADICS is bringing together constellations of leading researchers in four underpinning thematic aspects of information technology. This enables research on new fundamental multi-thematic aspects of complex systems as well as creating an arena for new approaches to in-depth research at the forefront of disciplinary information technology.

The research strategy of CADICS is centered around three principles:

  • To gather around fundamental research concepts, merging traditional disciplines, and forming new frontiers in information technology.
  • To formulate simple and concrete points of cross-fertilisation between the research cultures resulting in collaborative research projects. 
  • To target three strategic application areas, where additional important research issues can be extracted, and the new methods can be deployed.

Information Modeling

Condensing information into models is indeed a key feature in science. Models are constructed either from measured data or from first principles, and they may be differential equations, logic, or shapes and structures. Integrating and extending these concepts is a fruitful and rich area at the core of many advanced applications.

Information Interaction

The data sets that need to be processed in Decision and Control systems are rapidly increasing in size and complexity due to increased processing power and sensor capacities in combination with large storage volumes. Static data sets of terabyte sizes are becoming common, but also streaming data from multiple sensors are of rapidly increasing bit rates. This poses challenges for interactive analysis, specifically in visualization, where brute force methods can no longer be sustained and more advanced information reduction and refinement methods are urgently needed.

Information Integration

Integrating information of various kind is one fundamental issue in decision making, visualization and estimation. The scope ranges from low-level sensor data fusion to high-level information fusion,  where signals from different sensors and sensor networks are integrated with information from geographical information systems and knowledge databases.

Information-Based Decision and Actions

A fundamental research goal in the design of complex systems in the aerospace, automotive, and robotics industries is the development of anticipatory systems which internalize models of surrounding environments and of the physical systems themselves and use these to reason, plan, act, monitor and diagnose in a goal-directed manner. These systems combine control-based, reactive and deliberative decision-making to generate appropriate actions and plans to achieve goals in a timely manner. These topics are at the core of research in this thematic area.