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

Lupe [1]
© Felix Beierle

After receiving a Magister degree in Media Studies and American Studies from the University of Marburg [2], 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 [3]. With a master's thesis in the field of semantic web and expertise seeking, he received a M.Sc. from the
University of Hagen [4] in June 2014.

In July 2014, he joined the Telekom Innovation Laboratiories [5]
as a research scientist in the strategic research area Service-centric Networking [6] led by Prof. Dr. Axel Küpper. [7]

Research Interests

  • Online Social Networks
  • Context-aware Services
  • Location-based Services
  • Ubiquitous Computing
  • Mobile Computing

Publications

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Order by: Author [10]  Year [11]  Journal [12]

Lux, Z. A. and Beierle, F. and Zickau, S. and Göndör, S. (2019). Full-text Search for Verifiable Credential Schemas on Distributed Ledgers [13]. Proceedings of the International Symposium on Blockchain Computing and Applications (BCCA 2019). IEEE (accepted for 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 [14]. ACM RecSys 2019. ACM (in press).

Beierle, F. and Eichinger, T. (2019). Collaborating with Users in Proximity for Decentralized Mobile Recommender Systems [15]. Proceedings of the IEEE 16th International Conference on Ubiquitous Intelligence and Computing (UIC 2019). IEEE (in press).

Link to publication [16]

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 [17]. Journal of Ambient Intelligence and Humanized Computing. Springer.

Link to publication [18]

Dinh Tuan, H. and Beierle, F. and Rodriguez Garzon, S. (2019). MAIA: A Microservices-based Architecture for Industrial Data Analytics [19]. IEEE International Conference on Industrial Cyber-Physical Systems (accepted for publication)

Link to publication [20]

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 [21]. IEEE-ICC (to appear)

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 [22]. Proceedings 2019 Advanced Communication Networks for Industrial Applications (AIComNets). IEEE (to appear).

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 [23]. International Journal on Digital Libraries. Springer.

Link to publication [24]

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 [25]. Procedia Computer Science, 18-25.

Link to publication [26]

Beierle, F. (2018). Do You Like What I Like? Similarity Estimation in Proximity-based Mobile Social Networks [27]. Proceedings 2018 IEEE International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom). IEEE, 1040-1047.

Link to publication [28]

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 [29]. 2018 ACM/IEEE 5th International Conference on Mobile Software Engineering and Systems (MOBILESoft '18). ACM, 72-75.

Link to publication [30]

Beierle, F. and Aizawa, A. and Beel, J. (2017). Exploring Choice Overload in Related-Article Recommendations in Digital Libraries [31]. Proceedings of the 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR2017). CEUR-WS, 51–61.

Link to publication [32]

Friese, I. and Copeland, R. and Göndör, S. and Beierle, F. and Küpper, A. and Pereir, R. and Crom, J.-M. (2017). Cross-Domain Discovery of Communication Peers - Identity Mapping and Discovery Services (IMaDS) [33]. Proceedings of the 2017 European Conference on Networks and Communications (EuCNC). IEEE.

Link to publication [34]

Beierle, F. and Grunert, K. and Göndör, S. and Schlüter, V. (2017). Towards Psychometrics-based Friend Recommendations in Social Networking Services [35]. 2017 IEEE 6th International Conference on AI & Mobile Services (AIMS 2017). IEEE, 105–108.

Link to publication [36]

Javed, I. T. and Copeland, R. and Crespi, N. and Beierle, F. and Göndör, S. and Küpper, A. and Emmelmann, M. and Corici, A. and Corre, K. and Crom, J.-M. and Bouabdallah, A. and Zhang, T. and El Jaouhari, S. and Oberle, F. and Friese, I. and Caldeira, A. and Dias, G. and Santos, N. and Chaves, R. and Lopes Pereira, R. (2017). Cross-Domain Identity and Discovery Framework for Web Calling Services [37]. Annals of Telecommunications. Springer Paris, 459-468.

Link to publication [38]

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Technical Program Committee

International Workshop on Services for Mobile Data Collection 2018 (MoDaC) [41]

IEEE HotPOST 2017 [42]

IFIP TC6 Open Transactions on Communication Systems (OTCS) [43]

Academic Visits

2016-10/11: National Institute of Informatics (NII) [44] (Tokyo, Japan), where I worked with Prof. Dr. Jöran Beel [45] and Prof. Akiko Aizawa [46]

 

Talks

I presented my ongoing work:

2016-11-18: Hong Kong University of Science and Technology (HKUST) [47] (Hong Kong, China), group of Prof. Pan Hui [48]

2016-11-14: Fudan University [49] (Shanghai, China), group of Prof. Yang Chen [50]

2016-10-18: National Institute of Informatics (NII) [51] (Tokyo, Japan), group of Prof. Akiko Aizawa [52]

 

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

  • Staake, R. (2018). Social Profile Exchanges in Proximity-based Mobile Social Networks. Bachelor’s Thesis, Technische Universität Berlin [53]
  • Tuan, H. (2018). Microservices Architecture for Industrial Sensor Data Analysis. Master Thesis, Technische Universität Berlin [54]
  • Lensing, N. (2017). Efficient and Privacy-aware Similarity Estimation in D2D Scenarios. Master Thesis, Technische Universität Berlin [55]
  • Schlüter, V. (2017). Automated Social Profile Generation. Bachelor Thesis, Technische Universität Berlin [56]
  • Tan, J. (2016). Conference Recommendations Based on Social Recommender Systems. Master Thesis, Technische Universität Berlin [57]
  • Postnikov, W. (2016). Utilizing Location and Context Data for Access Control in Mobile Social Networks, Bachelor Thesis, Technische Universität Berlin [58]
  • Tiwari, I. (2016). Creating Social Graph Overlays by Gossiping in Unstructured P2P Online Social Networks, Master Thesis, Technische Universität Berlin [59]
  • Denisow, I. (2015). Dynamic Geolocation Attributes within Functional Encryption Schemes. Bachelor Thesis, Technische Universität Berlin [60]
  • 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 [61]
  • Hebbo, H. (2015). Integration of the SONIC protocol into Existing Online Social Networks to Facilitate Seamless Inter-Platform Communication. Master Thesis, Technische Universität Berlin [62]

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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
e-mail query [64]

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