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TU Berlin

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Prof. Dr.-Ing. Slawomir Stanczak

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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

  • 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

Q. Liao and S. Stanczak (2015). Network State Awareness and Proactive Anomaly Detection in Self-Organizing Networks. Proc. International Workshop on Emerging Technologies for 5G Wireless Cellular Networks (In conjunction with IEEE GLOBECOM 2015)


S. Limmer and J. Mohammadi and S. Stanczak (2015). A Simple Algorithm for Approximation by Nomographic Functions. Proc. 53rd Annual Allerton Conference on Communication, Control, and Computing


M. Botsov and S. Stanczak and P. Fertl (2015). On the Transport Capacity of Next-generation Cellular Networks with Vehicular D2D Underlay. Proc. 12th International Symposium on Wireless Communication Systems (ISWCS), 176-180.


S. Maghsudi and S. Stanczak (2015). On Channel Selection for Energy-Constrained Rateless-Coded D2D Communications. Proc. 2015 European Signal Processing Conference (EUSIPCO)


Q. Liao and S. Valentin and S. Stanczak (2015). Channel Gain Prediction in Wireless Networks Based on Spatial-Temporal Correlation. IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)


J. Mohammadi and S. Stanczak (2015). Joint Spectrum Sensing and Jamming Detection with Correlated Channels in Cognitive Radio Networks. Proc. IEEE International Conference on Communications (ICC) - Seventh Workshop on Cooperative and Cognitive Networks (CoCoNet7),


S. Maghsudi and S. Stanczak (2015). Joint Channel Allocation and Power Control for Underlay D2D Transmission. Proc. IEEE International Conference on Communications (ICC)


M. Botsov and S. Stanczak and P. Fertl (2015). Comparison of location-based and CSI-based resource allocation in D2D-enabled cellular networks. IEEE International Conference on Communications (ICC)


Z. Ren and and M. Jäger and S. Stanczak and P. Fertl (2015). Distributed Power Control with Active Cell Protection in Future Cellular Systems. Proc. IEEE International Conference on Communications (ICC)


M. Goldenbaum and S. Stanczak and H. Boche (2015). On Achievable Rates for Analog Computing Real-Valued Functions Over the Wireless Channel. Proc. IEEE International Conference on Communications (ICC)


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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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