PhD Candidate, Graz University of Technology & CSH Vienna
Franz Papst is a PhD candidate at the Complexity Science Hub Vienna and the Institute for Technical Informatics at Graz University of Technology.
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.
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, (...) F. Papst, O. Saukh, (...) C. Egger-Danner
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)