Inhalt des Dokuments
Dr. rer. nat. Felix Beierle, M.A., M.Sc.
After receiving a Magister degree in Media Studies and American Studies from the University of Marburg, Felix worked at the University's IT Department (Hochschulrechenzentrum). Subsequently, he started pursuing a degree in Computer Science. During his studies, he interned as a Software Engineer at Capgemini. With a master's thesis in the field of semantic web and expertise seeking, he received a M.Sc. from the
University of Hagen in June 2014.
In July 2014, he joined the Telekom Innovation Laboratiories
as a research scientist in the strategic research area Service-centric Networking led by Prof. Dr. Axel Küpper.
Research Interests
- Online Social Networks
- Context-aware Services
- Location-based Services
- Ubiquitous Computing
- Mobile Computing
Technical Program Committee
16th International Conference on Mobile Systems and Pervasive Computing 2019 (MobiSPC)
Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval 2019 (AMIR)
International Workshop on Services for Mobile Data Collection 2019 (MoDaC)
International Workshop on Services for Mobile Data Collection 2018 (MoDaC)
IEEE HotPOST 2017
IFIP TC6 Open Transactions on Communication Systems (OTCS)
Academic Visits
2016-10/11: National Institute of Informatics (NII) (Tokyo, Japan), where I worked with Prof. Dr. Jöran Beel and Prof. Akiko Aizawa
Talks
I presented my ongoing work:
2016-11-18: Hong Kong University of Science and Technology (HKUST) (Hong Kong, China), group of Prof. Pan Hui
2016-11-14: Fudan University (Shanghai, China), group of Prof. Yang Chen
2016-10-18: National Institute of Informatics (NII) (Tokyo, Japan), group of Prof. Akiko Aizawa
Thesis
- Beierle, F. (2014). Using a System of Rules to Generate Training Data for Learning-to-Rank Processes in an Expert Seeking Application. Master's Thesis, University of Hagen
Supervised Theses
- Kühn, A. (2020). Privacy and Data Management in Experience Sampling Apps. Bachelor Thesis, Technische Universität Berlin
- Fu, J. (2020). Stateful Microservices Portability in edge-cloud Infrastructures using Messge Brokers. Bachelor Thesis, Technische Universität Berlin
- Egger, S. (2019). Design and Implementation of a Mobile Platform for Recommender Systems. Master Thesis, Technische Universität Berlin
- Pokorski, J. (2019). TYDR-Fusion: Ubiquitous Social Networking based on Automatically Tracked Data. Bachelor Thesis, Technische Universität Berlin
- Staake, R. (2018). Social Profile Exchanges in Proximity-based Mobile Social Networks. Bachelor’s Thesis, Technische Universität Berlin
- Tuan, H. (2018). Microservices Architecture for Industrial Sensor Data Analysis. Master Thesis, Technische Universität Berlin
- Lensing, N. (2017). Efficient and Privacy-aware Similarity Estimation in D2D Scenarios. Master Thesis, Technische Universität Berlin
- Schlüter, V. (2017). Automated Social Profile Generation. Bachelor Thesis, Technische Universität Berlin
- Tan, J. (2016). Conference Recommendations Based on Social Recommender Systems. Master Thesis, Technische Universität Berlin
- Postnikov, W. (2016). Utilizing Location and Context Data for Access Control in Mobile Social Networks, Bachelor Thesis, Technische Universität Berlin
- Tiwari, I. (2016). Creating Social Graph Overlays by Gossiping in Unstructured P2P Online Social Networks, Master Thesis, Technische Universität Berlin
- Denisow, I. (2015). Dynamic Geolocation Attributes within Functional Encryption Schemes. Bachelor Thesis, Technische Universität Berlin
- Kücükbayraktar, E. (2015). Design and Implementation of a Framework for Profile Migration in the SONIC Online Social Network Federation. Master’s Thesis, Technische Universität Berlin
- Hebbo, H. (2015). Integration of the SONIC protocol into Existing Online Social Networks to Facilitate Seamless Inter-Platform Communication. Master Thesis, Technische Universität Berlin
Zusatzinformationen / Extras
Quick Access:
Service-centric Networking
TEL 19
Ernst-Reuter-Platz 7
10587 Berlin
Phone: +49 30 8353 54265
Fax: +49 30 8353 58409
e-mail query