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Tobias Eichinger, M.Sc.
- © Tobias Eichinger
Tobias Eichinger received his Bacherlor’s degree in mathematics at KIT (Karlsruhe Institute of Technology) in 2014. Consecutively commencing his Master’s studies, he applied his thoroughly acquired mathematical knowledge in the field of business administration and economics at KAIST (South Korea). In 2016, he graduated his Master’s degree in mathematics at KIT.
In early 2017, he joined the Service-centric Networking group at Telekom Innovation Laboratories/Technische Universität Berlin as a research fellow in the field of Data Science led by Prof. Axel Küpper. His research focuses on decentralized recommender systems in the broader context of distributed systems. In particular, his focus is the applicatibility of techniques from the area of Natural Language Processing also in view of privacy preservation.
Publications
| Citation key | Eichinger2019 |
|---|---|
| Author | Eichinger, T. and Beierle, F. and Khan, S. U. and Middelanis, R. and Sekar, V. and Tabibzadeh, S. |
| Title of Book | Proc. 2019 IEEE International Conference on Communications (ICC) |
| Pages | 1–7 |
| Year | 2019 |
| DOI | 10.1109/ICC.2019.8761051 |
| Publisher | IEEE |
| Bibtex Type of Publication | SNET Data |
Supervised Theses
- Lawrenz, L. (2020). On the Impact of Keyword Extraction in Word Mover's Distance-based Similarity Comparison. Bachelor Thesis, Technische Universität Berlin
- Brand, St. (2020). A Web-based Hybrid Evaluation Scheme for Recommender Systems. Bachelor Thesis, Technische Universität Berlin
- Khalid, H.M. (2020). Injecting differential Privacy to the word Movers distance for user regulated Data Privacy. Master Thesis, Technische Universität Berlin
- Willmann, P. (2020). Context-aware Battery Reduction for Mobile Applications in Ad-hoc Networking Scenarios . Master Thesis, Technische Universität Berlin