Methodology: Data Science and Engineering


Data Science and Engineering develops methods for systematic analysis of large amounts of data and extracting structures, models and forecast of such data. This also includes the handling of large amounts of data that are generated with high bandwidth in distributed sensor environments. The science field is methodologically located at the interfaces between statistic data analysis, database-based data management, networked system and the methods of machine reading and artificial intelligence.


Duration Funding provided by Topic
2018-2021 Firmen Data Science, Big Data, Deep Learning
2017-2020 DFG Intelligent Search Engine for Belief Legends
2017-2020 DFG NoSQL Schema Evolution and Big Data Migration at Scale (DARWIN)
2018-2019 Firmen Datenbankbasierte Big-Data-Analysen
2017-2019 EFRE SAMi - Aktivitätsassistenz (Verbund)
2016-2019 BMBF Real-time Sensor Data Analysis Framework for Intelligent Assistance Systems (fast care),
sub-project: Distributed Inference Methods on Multi-Sensor Platforms

Research devices

Duration Funding provided by Topic
2017-2020 DFG Rostock Massive Data Research Facility