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TU Berlin

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Prof. Dr.-Ing. Slawomir Stanczak

Lupe

Slawomir Stanczak studied electrical engineering with specialization in control theory at the Wroclaw University of Technology and at the Technical University of Berlin (TU Berlin). He received the Dipl.-Ing. degree in 1998 and the Dr.-Ing. degree (summa cum laude) in electrical engineering in 2003, both from TU Berlin; the Habilitation degree (venialegendi) followed in 2006. Since 2015, he has been a Full Professor for network information theory with TU Berlin and the head of the Wireless Communications and Networks department at Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI). Prof. Stanczak has been involved in research and development activities in wireless communications since 1997. In 2004 and 2007, he was a Visiting Professor with RWTH Aachen University and in 2008, he was a Visiting Scientist with Stanford University, Stanford, CA, USA. He is a co-author of two books and more than 200 peer-reviewed journal articles and conference papers in the area of information theory, wireless communications, signal processing and machine learning. Prof. Stanczak received research fellowships from the German Research Foundation and the Best Paper Award from the German Communication Engineering Society in 2014. He was a Co-chair of the 14th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2013). Between 2009 and 2011, he was an Associate Editor of the European Transactions for Telecommunications (information theory) and an Associate Editor of the IEEE Transactions on Signal Processing between 2012 - 2015 and the chair of the ITU-T Focus Group on Machine Learning for Future Networks including 5G from 2017 - 2020. Since 2020, Prof. Stanczak is chairman of the 5G BERLIN association and since 2021 he is coordinator of the 6G-RIC (Research & Innovation Cluster).    

Teaching

    • Summer 2022

      • VL Theory and Algorithms of Machine Learning (Prof. Dr.-Ing. Slawomir Stanczak)
      • VL Modern Signal Processing and Communications (Dr. Renato L.G. Cavalcante)
      • VL Selected Topics in Wireless Communications and Networking (Dr. Zoran Utkovski)
      • Master Project Network Information Systems (Dr.- Ing. Julius Schulz- Zander)

    • Winter 2021/22

      • VL Fundamentals of Digital Wireless Communication (Prof. Dr.-Ing. Slawomir Stanczak)
      • VL Mathematical Introduction to Machine Learning (Dr. rer. nat. Igor Bjelakovic)

    • Summer 2021

      • VL Theory and Algorithms of Machine Learning (Prof. Dr.-Ing. Slawomir Stanczak)
      • VL Modern Signal Processing and Communications (Dr. Renato L.G. Cavalcante)
      • VL Selected Topics in Wireless Communications and Networking (Dr. Zoran Utkovski)
      • Master Project Network Information Systems (Dr.- Ing. Julius Schulz- Zander)

    • Winter 2020/21

      • VL Fundamentals of Digital Wireless Communication (Prof. Dr.-Ing. Slawomir Stanczak)
      • VL Mathematical Introduction to Machine Learning (Dr. rer. nat. Igor Bjelakovic)
      • VL Introduction to Game Theory with Engineering Applications (Prof. Dr.-Ing. Setareh Maghsudi)

    • Summer 2020

      • VL Theory and Algorithms of Machine Learning (Prof. Dr.-Ing. Slawomir Stanczak)
      • VL Modern Signal Processing and Communications (Dr. Renato L.G. Cavalcante)
      • VL Selected Topics in Wireless Communications and Networking (Dr. Zoran Utkovski)

    • Winter 2019/20

      • VL Fundamentals of Digital Wireless Communication (Prof. Dr.-Ing. Slawomir Stanczak)
      • VL Mathematical Introduction to Machine Learning (Dr. rer. nat. Igor Bjelakovic)

    •  Summer 2019

      • VL Theory and Algorithms of Machine Learning (Prof. Dr.-Ing. Slawomir Stanczak)
      • VL Modern Signal Processing and Communications (Dr. Renato L.G. Cavalcante)
      • VL Selected Topics in Wireless Communications and Networking (Dr. Zoran Utkovski)

     

    You can also find me on:

    Fraunhofer Heinrich-Hertz-Institut

    Google Scholar

    arXiv

    LinkedIn


    Publications

    Preprints

    Books

    Book Chapters

    Journal Publications

    Conference, Symposium, and Workshop Papers

    M. Raceala-Motoc and J. Schreck and P. Jung and S. Stanczak (2016). Robust Message Recovery for Non-Cooperative Compute-and-Forward Relaying. 50th Annual Asilomar Conference on Signals, Systems, and Computers


    S. Limmer and S. Stanczak (2016). Towards optimal nonlinearities for sparse recovery using higher-order statistics. IEEE International Workshop on Machine Learning For Signal Processing (MLSP)


    M. Botsov and S. Stanczak and P. Fertl (2016). Optimized Zone Design for Location-based Resource Allocation in Mobile D2D Underlay Networks. 13th International Symposium on Wireless Communication Systems (ISWCS)


    M. Goldenbaum and P. Jung and M. Raceala-Motoc and S. Stanczak and C. Zhou (2016). Harnessing Channel Collisions to Efficiently Deal with the Massive Access in 5G Networks. 9th International Symposium on Turbo Codes & Iterative Information Processing 2016 - Workshop 5G: 5G for Internet of Things


    M. A. Gutierrez-Estevez and D. Gozalvez-Serrano and M. Botsov and S. Stanczak (2016). STFDMA: A Novel Technique for Ad-Hoc V2V Networks Exploiting Radio Channels Frequency Diversity. 13th International Symposium on Wireless Communication Systems (ISWCS)


    I. Bjelakovic and J. Mohammadi and S. Stanczak (2016). Strong Secrecy and Stealth for Broadcast Channels with Confidential Messages. IEEE International Symposium on Information Theory (ISIT 2016)


    M. Kaliszan and G. Caire and S. Stanczak (2016). On the Throughput Rate of Wireless Multipoint Multicasting. IEEE International Symposium on Information Theory (ISIT 2016)


    K. Ralinovski and M. Goldenbaum and S. Stanczak (2016). Energy-Efficient Classification for Anomaly Detection: The Wireless Channel as a Helper. IEEE International Conference on Communications (ICC)


    E. Pollakis and S. Stanczak (2016). Anticipatory Networking for Energy Savings in 5G Systems. Proc. 20th International ITG Workshop on Smart Antennas (WSA 2016), 1-7.


    Y. Chang and P. Jung and C. Zhou and S. Stanczak (2016). Block Compressed Sensing based Distributed Resource Allocation for M2M Communications. Proc. 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 3791-3795.


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    Head of Chair

    Prof. Dr.-Ing. Slawomir Stanczak
    HFT 400a
    Einsteinufer 25
    10587 Berlin
    Tel.: +49(0)30 314-28465
    Fax: +49(0)30 314-28320

    Website

    Chairman of ITU-T Focus Group on Machine Learning for Future Networks including 5G

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