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TU Berlin

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Katerina Katsarou


Katerina Katsarou received her Diploma from the Department of Electrical and Computer Engineering-Polytechnic School of University of Patras and her Master's Degree in Computer Science from University of Ioannina.

During her graduate studies she attended courses in the field of  Data Mining, Statistical Algorithms for Medical Applications and Advanced Topics in Relational Databases. She participated in research projects in the Department of Computer Technology and Informatics of University of Patras and was a lab assistant in the Department of Computer Science and Engineering of University of Ioannina.

In January 2018, she joined  the Service-centric Networking group of Prof. Dr. Axel Küpper at Telekom Innovation Laboratories as a research scientist in the field of data science and machine learning. 

Research Interests & Awards


    • Sentiment Analysis
    • Context-aware Recommender Systems
    • Deep Learning
    • Stock market and Cryptocurrency prices forecasting
    • Community detection in online social networks
    • R, Python, SQL


    Katsarou, K. and Ounoughi, C. and Mouakher, A. and Nicolle, C. (2020). STCMS: A Smart Thermal Comfort Monitor For Senior People. 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2020). IEEE (accepted for publication).

    Hagemann, T. and Katsarou, K. (2020). Reconstruction-based anomaly detection for the cloud: A comparison on the Yahoo!Webscope S5 dataset. 4th International Conference on Cloud and Big Data Computing(ICCBDC 2020). ACM, 68-75.

    Fischer, S. and Katsarou, K. and Holschke, O. (2020). DEEPFLOW: Toawards Network-Wide Ingress Traffic Prediction Using Machine Learning At Large Scale. 7th International Symposium on Networks, Computers and Communications(ISNCC 2020). IEEE.

    Hagemann, T. and Katsarou, K. (2020). A Systematic Review on Anomaly Detection for Cloud Computing Environments. 3rd Artificial Intelligence and Cloud Computing Conference (AICCC 2020). ACM, 83-96.

    Hatzinikolaou D., Katsarou K. (2019). An Account of Principal Components Analysis and Some Cautions on Using the Correct Formulas and the Correct Procedures in SPSS . International Journal of Statistics & Applications. Scientific & Academic Publishing Company, 160-169.

    Katsarou, K. and Shekhawat, D. S. (2019). CRD-SentEnse: Cross-domain Sentiment Analysis using an Ensemble Model. Proceedings of The 11th International ACM Conference on Management of Digital EcoSystems(MEDES 2019). ACM (accepted for publication).

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    Katerina Katsarou
    Service-centric Networking
    TEL 19
    Ernst-Reuter-Platz 7
    10587 Berlin
    Phone: +49 30 8353 58149
    Fax: +49 30 8353 58409