Simon Steuer

Simon Steuer, M.Sc., is a Research and Teaching Assistant (Wissenschaftlicher Mitarbeiter) at the Chair of Mobile Systems within the Faculty of Information Systems and Applied Computer Sciences at the University of Bamberg, Germany. Since 2016, he has been actively contributing to research and teaching in the areas of hybrid location models, Internet of Things (IoT), and data quality of environmental sensors.

Education

• 2014–2016: Master of Science in Applied Computer Science, University of Bamberg
• 2010–2014: Bachelor of Science in Media Informatics, Hochschule Hof
• 2004–2007: Vocational Training as IT Systems Electronics Technician, Deutsche Telekom AG

Research Interests

Simon Steuer's research is centered around the development of hybrid location models that integrate symbolic and geometric location information. He is particularly focused on applications in smart agriculture, such as the WeideInsight project, where he works on energy-efficient localization systems for cattle using Bluetooth Low Energy (BLE) and Mioty (LPWAN) technologies. His work also encompasses the improvement of data quality from environmental sensors, especially in citizen science contexts, and the design of privacy-preserving architectures for smart city labs.

Research Projects & Theses Supervision

Steuer actively supervises student theses and projects, including:

• Development of semantic models for hybrid cow location techniques
• Data generators for smart spaces and agriculture simulations
• Filtering and evaluation of beacon-based indoor positioning data
• Literature surveys on map matching and information visualization in smart agriculture
• Code refactoring for LPWAN-based environmental sensors
• Design of location data players and visualization tools

Labs and Teams

He is a member of the Chair of Mobile Systems research group led by Prof. Dr. Daniela Nicklas. The group collaborates on projects such as Explanym, Crowdanym, FutureIOT, Living Lab Bamberg, SIMUTOOL, and WeideInsight, fostering interdisciplinary research in mobile systems, IoT, and smart environments.