Information Engineering Group (ieg), Vienna University of Technology (TU Wien)

Name: Information Engineering Group (ieg)
Location: Vienna, Austria, Europe
Homepage: http://ieg.ifs.tuwien.ac.at

Description: The Information Engineering Group (ieg) at the Vienna University of Technology (TU Wien), Faculty of Informatics, Institute of Software Technology and Interactive Systems (ISIS), conducts research and provides teaching in the following areas:

• Information and Knowledge Engineering
  • Information Extraction and Integration
  • Information Visualization
  • Knowledge Crystallization
  • Ontologies
  • Semantic Web
    
• Plan Management (Continual Plan Modeling)
  • Temporal Data Abstraction
  • Temporal Representation and Reasoning
  • Verification and Validation
  • Planning, Plan Execution, Plan Monitoring and Evaluation
    
• Process Engineering
  • Data and Process Modeling
  • Workflow Systems
    
• Task-oriented Design, Development, and Evaluation in Real-World Environments
  • Bridging the Gap between Theory and Practice
  • Guideline- and Protocol-based Care: Design, Monitoring, and Therapy Planning
  • Medical Environments: (Neonatal) Intensive Care Units, Diabetes Management, Management of Hyperbilirubinemia/Jaundice

Projects

Project Overview: http://ieg.ifs.tuwien.ac.at/projects/index.html

• AsbruView - A visualization and user interface for time-oriented, skeletal plans
• SOPOView - A visualization for temporal uncertainty in planning
• CareVis - Interactive visualization methods to support protocol-based care
• MIDGAARD - Connecting time-oriented data and information to a coherent interactive visualization
• TimeViz - Interactive information visualization to explore temporal data
• The Interactive Stardinates - An information visualization technique applied in a multiple view system
• SDOF - Semantic depth of field - using blur for focus+context visualization
• in2vis - Interactive Information Visualization: Exploring and supporting human reasoning processes
• LinkVis - Multiple view framework for exploring highly structured data
• GOT - The Guideline Overview Tool
• Practical Design Guidelines - Human centred design for graphical user interfaces
• ViCo - A metric for the complexity of information visualization