M.Sc. Matthias Hummert (Doktorand)

Adresse: Universität Bremen Arbeitsbereich Nachrichtentechnik Otto-Hahn-Allee NW1 28359 Bremen E-Mail :

Lehre

• Grundlagenlabor Nachrichtentechnik

Forschung

• Funkkommunikation mit Künstlicher Intelligenz (FunKI)
• Künstliche Intelligenz für Mobilfunksysteme (AIMS)

Publikationen

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2025

• Deep Learning-Based Distributed Remote Source Coding via Information Bottleneck Method: The Parallel Processing Scheme BibT_EX
  S. Hassanpour, M. Hummert, D. Wübben, A. Dekorsy
  IEEE International Conference on Communications Workshops (ICC Workshops 2025), Montreal, QC, Kanada, 8. - 12. Juni 2025, DOI
• A Deep Variational Approach to Multiterminal Joint Source-Channel Coding Based on Information Bottleneck Principle BibT_EX
  S. Hassanpour, M. Hummert, D. Wübben, A. Dekorsy
  IEEE Open Journal of the Communications Society (OJ-COMS), Vol. 6, pp. 4462-4475, Mai 2025, DOI
• Investigating the Generalization Capabilities of Deep FAVIB: A Data-Driven Information Bottleneck-Based Quantization Scheme for Noisy Channels BibT_EX
  M. Hummert, S. Hassanpour, D. Wübben, A. Dekorsy
  International ITG Conference on Systems, Communications and Coding (SCC 2025), Karlsruhe, Deutschland, 10. - 13. März 2025, DOI

2024

• Deep FAVIB: Deep Learning-Based Forward-Aware Quantization via Information Bottleneck Method BibT_EX
  M. Hummert, S. Hassanpour, D. Wübben, A. Dekorsy
  IEEE International Conference on Communications (ICC 2024), Denver, CO, USA, 9. - 13. Juni 2024, DOI
• Deep Learning-Based Forward-Aware Quantization for Satellite-Aided Communications via Information Bottleneck Method BibT_EX
  M. Hummert, S. Hassanpour, D. Wübben, A. Dekorsy
  2024 European Conference on Networks and Communications & 6G Summit (EuCNC & 6G Summit), Antwerp, Belgien, 3. - 6. Juni 2024, DOI
• Improving NOMA Performance by Application of Autoencoders and Equidistant Power Allocation BibT_EX
  M. Hummert, N. Bulk, C. Bockelmann, D. Wübben, A. Dekorsy
  27th International Workshop on Smart Antennas (WSA 2024), Dresden, Deutschland, 17. - 19. März 2024, DOI

2022

• DRLLA: Deep Reinforcement Learning for Link Adaption BibT_EX
  F. Geiser, D. Wessel, M. Hummert, A. Weber, D. Wübben, A. Dekorsy, A. Viseras
  MDPI, MDPI Telecom Journal, Vol. 3(4), pp. 692-705, November 2022, DOI
• Lesson Learnt and Future of AI Applied to Manufacturing BibT_EX
  V. Frascolla, M. Hummert, T. Monsees, D. Wübben, A. Dekorsy, N. Michailow, V. Döricht, C. Niedermeier, J. Kaiser, A. Bröring, M. Villnow, D. Wessel, F. Geiser, M. Wissel, A. Viseras, B. Han, B. Richerzhagen, H.D. Schotten, D. Calandra, F. Lamberti
  Kapitel in Intelligent Edge-Embedded Technologies for Digitising Industry , River Publishers, Juni 2022, ISBN 9788770226110

2021

• Machine Learning Scaled Belief Propagation for Short Codes BibT_EX
  M. Hummert, D. Wübben, A. Dekorsy
  IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 27. - 30. September 2021
• Neural Network-based Forecasting of Decodability for Early ARQ BibT_EX
  M. Hummert, D. Wübben, A. Dekorsy
  17th International Symposium on Wireless Communication Systems (ISWCS 2021), Berlin, Deutschland, 6. - 9. September 2021, DOI

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