Robert Scholz

Robert Scholz

Doctoral Candidate
Research interests: • rule acquisition and processing • interactions between cortex and subcortical structures • evolution of brain structures • genetic influence on circuit markup and wiring • deep reinforcement learning


Academic education

since 2020   Doctoral candidate, Max Planck School of Cognition, Leipzig
                       Doctoral research performed at Leipzig University and University of Paris, France
                       Supervisors: Erich Schröger and Daniel Margulies

2017–2020  Master of Science in Mind & Brain - Track Brain, Berlin School of Mind & Brain, Humboldt-Universität zu Berlin

2012–2016  Bachelor of Science in Cognitive Sciences, University of Osnabrück



2013/2014 Tutor for Artificial Intelligence & Statistics, University of Osnabrück



Scholz, R., Tcholtchev, N., Lämmel, P., & Schieferdecker I. (2018). From metadata catalogs to distributed data processing for smart city platforms and services: A study on the interplay of CKAN and Hadoop. In Ferguson D., Muñoz V., Cardoso J., Helfert M., & Pahl C. (Eds), Cloud computing and service science. CLOSER 2017. Communications in Computer and Information Science, Vol. 864. Springer: Cham. doi:10.1007/978-3-319-94959-8_7

Scholz, R., Tcholtchev, N., Lämmel, P., & Schieferdecker, I. (2017). A CKAN plugin for data harvesting to the Hadoop distributed file system. In Proceedings of the 7th International Conference on Cloud Computing and Services Science, pp. 47–56. doi:10.5220/0006230200470056

Schieferdecker, I., Tcholtchev, N., Lämmel, P., Scholz, R., & Lapi, E. (2017). Towards an open data based ICT reference architecture for smart cities. In 2017 International Conference for E-Democracy and Open Government (CeDEM), pp. 184–193. doi:10.1109./CeDEM.2017.18

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