TU Berlin

Service-centric NetworkingFelix Beierle

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Dr. rer. nat. 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 Aizawa, A. and Collins, A. and Beel, J. (2020). Choice Overload and Recommendation Effectiveness in Related-Article Recommendations. Analyzing the Sowiport Digital Library. International Journal on Digital Libraries. Springer, 231–246.

Link to publication

Beierle, F. and Probst, T. and Allemand, M. and Zimmermann, J. and Pryss, R. and Neff, P. and Schlee, W. and Stieger, S. and Budimir, S. (2020). Frequency and duration of daily smartphone usage in relation to personality traits. Digital Psychology. facultas, 20–28.

Link to publication

Lux, Z. A., Thatmann, D., Zickau, S. and Beierle, F. (2020). Distributed-Ledger-based Authentication with Decentralized Identifiers and Verifiable Credentials. 2nd conference on Blockchain Research and Applications for Innovative Networks and Services (BRAINS'20), 71–78.

Link to publication

Beierle, F. and Egger, S. (2020). MobRec – Mobile Platform for Decentralized Recommender Systems. IEEE Access. IEEE, 185311 - 185329.

Link to publication

Dinh Tuan, H. and Mora Martinez, M. and Beierle, F. and Rodriguez Garzon, S. (2020). Development Frameworks for Microservice-based Applications: Evaluation and Comparison (accepted for publication. 2020 European Symposium on Software Engineering (ESSE)

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. (2020). 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, 2277–2289.

Link to publication

Lux, Z. A. and Beierle, F. and Zickau, S. and Göndör, S. (2019). Full-text Search for Verifiable Credential Schemas on Distributed Ledgers. Proceedings of the International Symposium on Blockchain Computing and Applications (BCCA 2019). IEEE, 519–528.

Link to publication

Eichinger, T. and Beierle, F. and Papke, R. and Rebscher, L. and Tran, H. and Trzeciak, M. (2019). On Gossip-based Information Dissemination in Pervasive Recommender Systems. Proc. 13th ACM Conference on Recommender Systems (RecSys). ACM, 442–446.

Link to publication

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, 1192–1197.

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. IEEE, 23–30.

Link to publication

Eichinger, T. and Beierle, F. and Khan, S. U. and Middelanis, R. and Sekar, V. and Tabibzadeh, S. (2019). affinity: A System for Latent User Similarity Comparison on Texting Data. Proc. 2019 IEEE International Conference on Communications (ICC). IEEE, 1–7.

Link to publication

Zielinski, E. and Schulz-Zander, J. and Ruckstuhl, H. and Artemenko, A. and Ramirez, A. and Zeiger, F. and Mormul, M. and Hetzelt, F. and Beierle, F. and Klaus, H. and Zimmermann, M. and Schellenberger, C. (2019). Secure Real-time Communication and Computing Infrastructure for Industry 4.0 – Challenges and Opportunities. Proceedings 2019 Advanced Communication Networks for Industrial Applications (AIComNets). IEEE.

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 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

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

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