Scientific profile:

Guenther is a trained technician in the field of measurement and process control systems. He worked several years as a systems engineer in the industry and completed – in parallel to his job – a higher technical school for electronics and informatics. However, fascinated by the capabilities of geospatial technologies and the broad spectrum of geography he studied Geoinformation at the Carinthia University of Applied Sciences, Austria. During his studies he improved his practical experience at the Louisiana State University where he worked as a GIS Analyst at the Louisiana Geographic Information Centre. Guenther graduated with distinction in 2008 and received the Award for Outstanding Academic Achievement from the Austrian Federal Ministry of Science and Research. Since October 2008 he is a Junior Researcher at the Research Studio iSPACE (Research Studios Austria RSA) with a focus on near real-time geo-analyses for environmental monitoring and time-critical decision support. He also analyses user-generated traffic data in mobile telecommunication networks in order to better understand the space-time patterns of collective human behaviour. In his PhD research he brings together real-time sensor data from both environmental and social dynamics and explores their inherent spatio-temporal characteristics to find potential cause-effect relationships, for instance the influence of bad weather events on people’s mobility patterns.

Research Cluster: Time and Process

PhD Thesis Topic: Spatio-Temporal Analyses of Near Real-Time Sensor Data: Examples of Environmental and Social Dynamics for Integrated Monitoring

Abstract: Today, a variety of highly different technologies are able to sense physical as well as social phenomena even in real-time. Such 'sensor measurements' can be transformed into smart sensations by using both conventional and novel analysis methods. The primary aim of this PhD research is to reveal and then to carefully evaluate the spatial, temporal, as well as spatio-temporal characteristics of these sensations. The results of this integrated monitoring approach should help to better understand the environment-society relationship and complex real-world processes, for instance the impact of extrem weather conditions on collective human behaviour or the space-time structure of urban dynamics.

Publications:

Research Areas:

adaptive monitoring; ubiquitous sensing; collective sensing; context-aware analysis; real-time geo-analysis; geo-sensor webs; urban dynamics; spatio-temporal reasoning;