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Inhalt des Dokuments

Felix Beierle, M.A., M.Sc.

Lupe

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

Publications

Beierle, F. and Eichinger, T. (2019). Collaborating with Users in Proximity for Decentralized Mobile Recommender Systems. Proceedings of the IEEE 16th International Conference on Ubiquitous Intelligence and Computing (UIC 2019). IEEE (in press).

Link to publication

Beierle, F. and Tran, V.T. and Allemand, M. and Neff, P. and Schlee, W. and Probst, T. and Zimmermann, J. and Pryss, R. (2019). What data are smartphone users willing to share with researchers? Designing and evaluating a privacy model for mobile data collection apps. Journal of Ambient Intelligence and Humanized Computing. Springer.

Link to publication

Beierle, F. and Aizawa, A. and Collins, A. and Beel, J. (2019). Choice Overload and Recommendation Effectiveness in Related-Article Recommendations. Analyzing the Sowiport Digital Library. International Journal on Digital Libraries. Springer.

Link to publication

Beierle, F. and Tran, V.T. and Allemand, M. and Neff, P. and Schlee, W. and Probst, T. and Pryss, R. and Zimmermann, J. (2018). Context Data Categories and Privacy Model for Mobile Data Collection Apps. Procedia Computer Science, 18-25.

Link to publication

Beierle, F. (2018). Do You Like What I Like? Similarity Estimation in Proximity-based Mobile Social Networks. Proceedings 2018 IEEE International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom). IEEE, 1040-1047.

Link to publication

Beierle, F. and Tan, J. and Grunert, K. (2016). Analyzing Social Relations for Recommending Academic Conferences. Proceedings of the 8th International Workshop on Hot Topics in Planet-scale Mobile Computing and Online Social Networking. ACM, 37-42.

Link to publication

Beierle, F. and Grunert, K. and Göndör, S. and Küpper, A. (2016). Privacy-aware Social Music Playlist Generation. Proceedings of the IEEE International Conference on Communications (ICC 2016). IEEE, 5650-5656.

Link to publication

Beierle, F. and Göndör, S. and Küpper, A. (2015). Towards a Three-tiered Social Graph in Decentralized Online Social Networks. Proceedings of the 7th International Workshop on Hot Topics in Planet-scale Mobile Computing and Online Social Networking. ACM, 1–6.

Link to publication

Beierle, F. and Engel, F. and Hemmje, M. (2014). Finding the Right Experts and Learning to Rank Them by Relevance: Evaluation of a Semi-Automatically Generated Ranking Function. Proceedings of the 16th LWA Workshops: KDML, IR and FGWM. CEUR-WS, 227-234.

Link to publication

Beierle, F. and Engel, F. and Hemmje, M. (2014). Generation of Training Data for Learning-to-Rank Processes in an Expert Seeking Application. Informatiktage 2014 – Fachwissenschaftlicher Informatik-Kongress, GI-Editionen. Köllen Druck+Verlag 2014, 97-100.


Beierle, F. and Aizawa, A. and Beel, J. (2017). Exploring Choice Overload in Related-Article Recommendations in Digital Libraries. Proceedings of the 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR2017). CEUR-WS, 51–61.

Link to publication

Beierle, F. and Grunert, K. and Göndör, S. and Schlüter, V. (2017). Towards Psychometrics-based Friend Recommendations in Social Networking Services. 2017 IEEE 6th International Conference on AI & Mobile Services (AIMS 2017). IEEE, 105–108.

Link to publication

Beierle, F. and Tran, V.T. and Allemand, M. and Neff, P. and Schlee, W. and Probst, T. and Pryss, R. and Zimmermann, J. (2018). TYDR - Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data. 2018 ACM/IEEE 5th International Conference on Mobile Software Engineering and Systems (MOBILESoft '18). ACM, 72-75.

Link to publication

Denisow, I. and Zickau, S. and Beierle, F. and Küpper, A. (2015). Dynamic Location Information in Attribute-based Encryption Schemes. Proceedings of the 9th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST 2015). IEEE, 240-247.

Link to publication

Dinh Tuan, H. and Beierle, F. and Rodriguez Garzon, S. (2019). MAIA: A Microservices-based Architecture for Industrial Data Analytics. IEEE International Conference on Industrial Cyber-Physical Systems (accepted for publication)

Link to publication

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

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Felix Beierle, M.A., M.Sc.
Service-centric Networking
TEL 19
Ernst-Reuter-Platz 7
10587 Berlin
Phone: +49 30 8353 54265
Fax: +49 30 8353 58409