Franz Papst is a PhD candidate at the Complexity Science Hub.
He received a master’s degree in cognitive science from the University of Vienna after receiving a bachelor’s degree in software development and business management from Graz University of Technology and a bachelor’s degree in philosphy from the University of Graz.
Franz is interested in emerging technologies such as deep learning and blockchains and in how they affect humans and society.
He is also a PhD candidate at the Institute for Technical Informatics at Graz University of Technology.
F. Papst, K. Schodl, O. Saukh
Exploring Co-dependency of IoT Data Quality and Model Robustness in Precision Cattle Farming
in: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems (SenSys) '21 (Nov 2021) 433–438
Privacy-preserving machine learning for time series data
in: SenSys '20: The 18th ACM Conf on Embedded Networked Sensor Systems (2020) 813–814
F. Grandl et al.
Opportunities and Challenges of New Technologies for Performance Recording with Focus on Claw Health and Metabolism
in: Proceedings of ICAR Conference, ICAR Technical Series no. 24 (2019)