direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

TU Berlin

Inhalt des Dokuments

Dipl.-Ing. Abdulbaki Uzun

Bild
Lupe
© Abdulbaki Uzun

Abdulbaki Uzun received his diploma in Computer Engineering at the Technische Universität Berlin in March 2010.
During his studies, Abdulbaki was engaged as a student research assistant at the Fraunhofer Institute for Open Communication Systems, where he worked on future enhancements for the SMART Recommendations Engine and the integration of it in several projects. Prior to that, he widened his knowledge about Web 2.0 technologies at Nokia Siemens Networks and Projektlabor@TUB developing different types of websites and web applications.

In April 2010, he joined Telekom Innovation Laboratories as a research scientist in the strategic research area Service-centric Networking led by Prof. Dr. Axel Küpper.

Research Interests

  • Context-aware and Semantic Recommender Systems
  • Semantic Web Technologies
  • Linked Data
  • Context-aware Computing
  • Green ICT

Publications

Order by: Author  Year  Journal

Bayer, N. and Sivchenko, D. and Einsiedler, H. J. and Roos, A. and Uzun, A. and Göndör, S. and Küpper, A. (2011). Energy Optimisation in Heterogeneous Multi-RAT Networks. Proceedings of the 15th Intl. Conference on Intelligence in Next Generation Networks (ICIN 2011). IEEE, 139-144.

Link to publication

Uzun, A. and Küpper, A. and Einsiedler, H. J. (2011). Communicate Green - Energy Efficient Mobile Communication. Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2011). SciTePress, 302-305.

Link to publication

Göndör, S. and Uzun, A. and Küpper, A. (2011). Towards a Dynamic Adaption of Capacity in Mobile Telephony Networks using Context Information. Proceedings of the 11th International Conference on ITS Telecommunications (ITST 2011). IEEE, 606-612.

Link to publication

Uzun, A. and Räck, C. and Steinert, F. (2010). ShoppingMate - A Personal Shopping Assistant supporting Location-based Recommendations. 7. GI/ITG KuVS Fachgespräch "Ortsbezogene Anwendungen und Dienste". Logos Verlag Berlin GmbH, 13-21.

Uzun, A. and Räck, C. and Steinert, F. (2010). Targeting more relevant, contextual recommendations by exploiting domain knowledge. Proceedings of the 1st Intl. Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2010). ACM, 57-62.

Link to publication

Uzun, A. and Räck, C. (2010). Exploiting Ontologies for better Recommendations. Proceedings of the 40th Annual Conference of the Gesellschaft für Informatik e.V. (INFORMATIK 2010). Köllen Druck + Verlag GmbH, 565-570.

Uzun, A. and Räck, C. (2010). Using a Semantic Multidimensional Approach to create a Contextual Recommender System. Proceedings of LWA2010 - Lernen, Wissen & Adaptivität, 341-348.

Link to publication

Thesis

  • Uzun, A. (2010). Using a Semantic Multidimensional Approach to create a Contextual Recommender System. Diploma Thesis, Technische Universität Berlin

Supervised Theses

  • Niendorf, J. (2011). Dataset Discovery in the Linked Open Data Cloud using Recommendation Algorithms. Diploma Thesis, Technische Universität Berlin
  • Del Lero, M. (2011). Context-aware Power Management in Mobile Networks using Context Information from Mobile Devices. Bachelor Thesis, Technische Universität Berlin
  • Cegielski, M. (2011). Exploiting Contextual Information acquired from Smartphones and Web Services for Higher-Level Data Analysis. Master Thesis, Technische Universität Berlin
  • Wang, Y. (2011). Supporting Geo-Recommendations in Location-based Community Services based on Background Tracking Information. Master Thesis, Technische Universität Berlin
  • Selcukoglu, E. (2011). Generic Recommender System. Diploma Thesis, Technische Universität Berlin

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Dipl.-Ing. Abdulbaki Uzun
Telekom Innovation Laboratories
Service-centric Networking
TEL 19
Ernst-Reuter-Platz 7
10587 Berlin
Phone: +49 30 8353 58592
Fax: +49 30 8353 58409

Website