Methodology: Data Science and Engineering
Overview
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.
Projects
| 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 |