About
Franziska Hübl is a researcher at the Institute of Geodesy, Graz University of Technology, specializing in geospatial technologies and machine learning applications for environmental and energy challenges. Her work bridges geodesy, remote sensing, and urban systems analysis with tangible real-world implementations.
Education
- BSc in relevant field
- MSc in relevant field
Research Focus
Her expertise spans Geodesy, Remote Sensing, and Geographic Information Systems, with concentrated efforts in urban environment modeling, photovoltaic potential assessment, and water resource monitoring. Key innovations include neural network applications for shadow analysis and satellite-based water detection systems, demonstrating strong interdisciplinary integration of geospatial engineering with sustainable energy solutions.
Publication Trends
Recent work (2023-2025) reveals a strategic focus on sensor fusion for environmental monitoring and renewable energy optimization. Publications consistently integrate GNSS/INS/LIDAR technologies with machine learning to address photovoltaic site selection, wave dynamics, and urban shadow modeling, reflecting a cohesive research trajectory targeting climate-resilient infrastructure.
Collaborative Impact
- WAMOS project: Wave monitoring system using GNSS/INS on buoys
- PV4EAG initiative: Geospatial identification of photovoltaic installation sites
- Media engagement: ORF features on Kärnten heute and Steiermark heute
- Conference leadership: Presentations at ION GNSS+ and GIScience
Find Franziska Hübl elsewhere
Related Searches
You Might Also Like
Bilal MutluIstanbul Technical University · Researcher
Mike WillisVirginia Polytechnic Institute and State University · Associate Professor- FFélicia Norma Rebecca TEFERLEUniversity of Luxembourg · Professor
Silvia Katsarska-FilipovaUniversity of Architecture, Civil Engineering and Geodesy · Associate Professor
Androniki TsouchlarakiTechnical University of Crete · Assistant Professor
Ahmed AbdallaLouisiana State University · Assistant Professor