Decision support and visualization enable better decisions – based on data, understanding, and the interplay between people, organization, and technology.
We conduct research on how complex datasets can be made understandable and actionable through visualization, simulation, and digital twins.
We develop solutions for, among other things, visualization in operating rooms, resource planning in organizations, navigation systems, logistics, and digital pathology in the health sector.
Our research includes
- Analysis of data use in different contexts, to identify the most critical data for decision support and visualization at the right level and for the right actors in the organization.
- Visualization and presentation of data and model calculation results, to make complex relationships understandable.
- Digital twins that provide real-time insights and predict consequences before decisions are made.
- VR and AR for training, planning, and operational support.
- Simulations and simulators for testing and understanding different scenarios.
- Data‑driven decision support with humans in the loop and varying degrees of autonomy.
- Closed-loop control, which involves feedback to manage processes based on measurement and estimation.
- Combining sensor data and physical models for real-time control and optimization.
- AI agents that support human decision-making, but also operate in autonomous mode.
We know that good decisions require analysis, insight, trust, and understanding. Rely on our decision support, and you can be sure you’re making the right choice – instead of just believing you are.
Relevant research groups
- Acoustics
- Analytics and Artificial Intelligence
- Applied Comutational Science
- Computational Sciences and Engineering
- Digital Process Innovation
- Geometry
- HCI - Human Computer Interaction
- Industrial Value Creation
- Innovation and Sustainability (N)
- Optimisation
- Robotics and Control
- Safety and Reliability
- Software Product Innovation
