The Research Group on Human-Computer Interaction & Visual Analytics (vis) at the Darmstadt University of Applied Sciences works on the entire transformation process from raw data over extracting meaningful information through machine learning methods to interactive visualizations. Thereby new algorithms for data mining, machine learning and visualizations are developed as well as approaches for interacting with visual information systems. Our research goes beyond the state-of-the-art and enhances existing approaches to meet industry demands. We research and develop to enable human make precise decisions with Visual Analytics and information visualization systems in various domains. Examples for such domains, we are currently working on are:
- Human-Computer Interaction
- Semantics Visualization
- Visual Analytics
- Adaptive Visualization
- Artificial Intelligence & Data Mining
- Business analytics
- eGovernance and policy modelling
- Healthcare
- Mobility and transportation
- Internet of things and smart factories
- Digital Education and Digital Learning
- Smart Learning Systems and Infrastructure
- User-centered Learning
Our research is strongly related to current market needs that faces particularly nowadays enterprise challenges. Therefore, we apply our research experience to current application scenarios that we work for:
- Trend analytics and technology foresights
- Technology and innovation management
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Call for Papers – MDPI Electronics – Special Issue “Visual Analytics, Simulation, Decision Making Technologies”
Please consider the revised submission date. With the recent rise in cutting-edge technologies such as artificial intelligence, new and unsolved societal economic challenges can be solved sophisticatedly. Disciplines such as […]
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