Michael Freitag (formerly Sünkel)
Research Assistant
Research Topics
- Data Management for Sensor-based Systems
- Distributed Data Stream Management
- Internet of Things/Edge Computing/Fog Computing
Short Biography
Michael Sünkel completed his master's degree in applied computer science at the University of Bamberg in 2017. Until 2018 he taught as an external lecturer for the Chair for foundations of computer science. Since 12.03.2018 he has been working as a research assistant at the chair of mobile systems. There he is involved in the research network FutureIOT with the research focus on data management for sensor-based applications and distributed data stream management.
Publications
[1]
M. Sünkel et al., “Resource-Aware Classification via Model Management Enabled Data Stream Optimization,” in 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom), IEEE, 2022, pp. 181–182.
[2]
M. Sünkel, G. Elmamooz, M. Grawunder, and D. Nicklas, “Artifact: Resource-Aware Classification via Model Management Enabled Data Stream Optimization,” in 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), IEEE, 2022, pp. 181–182.
[3]
N. Kasrin, A. Benabbas, G. Elmamooz, D. Nicklas, S. Steuer, and M. Sünkel, “Data-sharing markets for integrating IoT data processing functionalities,” CCF transactions on pervasive computing and interaction, vol. 3, no. 1, pp. 76–93, 2021.
[4]
L. Schmeling et al., “Training and Validating a Machine Learning Model for the Sensor-Based Monitoring of Lying Behavior in Dairy Cows on Pasture and in the Barn,” Animals, vol. 11, no. 9, 2021.