TU Berlin

Service-centric NetworkingSebastian Fischer

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Dr. Sebastian Fischer

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© Sebastian Fischer

Dr. Sebastian Fischer is a senior data scientist at Telekom Innovation Laboratories were he conducts projects in the fields of Machine Learning. He obtained his PhD in Innovation Management from the Berlin Institute of Technology and is a certified Data Scientist from Harvard University (USA). Since 2019, Sebastian is conducting Machine Learning research in application fields of the telecommunications industry, under the supervision of Prof. Dr. Axel Küpper.

Research Interests

  • (Deep) Machine Learning
  • Applied Statistic
  • Python

Publications

Order by: Author  Year  Journal

Motta, M. and Hagemann, T. and Fischer, S. and Assion, F. (2021). EvolMusic: Towards Musical Adversarial Examples for Black-Box Attacks on Speech-To-Text. 2021 Genetic and Evolutionary Computation Conference Companion (GECCO ’21 Companion), accepted for publication

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.

Link to publication

Fischer, P. and Cebulla, M. and Berton, A. and Nurnberger, A. and Rodriguez Garzon, S. (2008). Adaptive Personalization of Multimodal Vehicular Interfaces using a Hybrid Recommendation Approach with Fuzzy Preferences. IEEE Intelligent Vehicles Symposium. IEEE, 209-213.

Link to publication

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