This image shows Baran Can Gül

Baran Can Gül

M.Sc.

Academic staff
Institute of Industrial Automation and Software Engineering

Contact

+49 711 685 67299
 +49 711 685 67302

Pfaffenwaldring 47
70550 Stuttgart
Germany
Room: 2.136

Journals and Conferences:

  1. 2023

    1. M. Nakip, B. C. Gül, and E. Gelenbe, “Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection,” International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2023.
    2. B. C. Gül, N. Devarakonda, D. Dittler, N. Jazdi, and M. Weyrich, “Using Federated Learning in the Context of Software-Defined Mobility Systems for Predictive Quality of Service,” AUTOMATION 2023, pp. 591–610, 2023.

  2. 2022

    1. M. Nakip, B. C. Gül, V. Rodoplu, and C. Güzeli̇ş, “Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds,” IEEE access, vol. 10, pp. 55602–55615, 2022.
    2. B. C. Gül, N. Jazdi-Motlagh, and M. Müller, “Use of the Intelligent Digital Twin for Dynamic Calculation of the Reliability of Industrial Automation Systems,” in 2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), Cluj-Napoca and Online, 2022.

Research focus: -

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