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Bianca Katharina Lüders, M.Sc.
[1]
- © Bianca Lüders
Bianca received her master’s degree in industrial engineering and management with a focus on systems engineering at the TU Berlin in 2016. In her master thesis she developed a novel framework and provided a prototype for enhancing user privacy in location-based services by mining macroscopic patterns from movement data.
After several valuable practical experiences, including working in the Business Intelligence departments of Otto [2] and DaWanda [3], she decided to dive much deeper into the area of data science, data analytics and machine learning and joined the Telekom Innovation Laboratories [4] as a research scientist in the strategic research area of Service-centric Networking led by Prof. Axel Küpper in January 2017.
Research Interests
- Privacy and Security
- Location-based Services
- Data and Text Mining
- Big Data and Data Analytics
- Financial Mathematics
- Machine Learning
Thesis
- Lüders, B. (2016). Macroscopic Pattern Mining based on Human Mobility in Urban Environments. Master Thesis, Technische Universität Berlin
- Lüders, B. (2013). Konzeption eines Vorgehensmodells zur Optimierung der Stammdatenqualität in Unternehmen. Bachelor Thesis, Technische Universität Berlin
Supervised Theses
- Bekfani, O. (2020). Natural Language Processing in Digital Citizen Participation. Master Thesis, Technische Universität Berlin [10]
- Zoabi, M. (2019). Real-time Detection of Urban Situations using Social Sensors. Master Thesis, Technische Universität Berlin [11]
- Aggarwal, R. (2018). Exploration of Similarities between smart contracts on the Ethereum Blockchain using NLP techniques. Master Thesis, Technische Universität Berlin [12]
- Arif, M. (2018). Community Detection and Observation in Large-scale Transaction-based Networks. Master Thesis, Technische Universität Berlin [13]
- Singh, P. (2017). Collaborative Location Recommendations. Master Thesis, Technische Universität Berlin [14]
Service-centric Networking
TEL 19
Ernst-Reuter-Platz 7
10587 Berlin
Phone: +49 30 8353 58335
Fax: +49 30 8353 58409
E-Mail-Anfrage [16]
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