TU Berlin

Department of Telecommunication SystemsProf. Dr.-Ing. Slawomir Stanczak

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Prof. Dr.-Ing. Slawomir Stanczak

Prof. 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 grants 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 an Editor of the IEEE Journal on Selected Areas in Communications for the special issue “Machine Learning in Communications and Networks”. Since 2021 he is coordinator of the 6G Research & Innovation Cluster and the flagship project CampusOS.     

Teaching

  • Winter 2022/23

    • VL Fundamentals of Digital Wireless Communication (Prof. Dr.-Ing. Slawomir Stanczak)
    • VL Mathematical Introduction to Machine Learning (Dr. rer. nat. Igor Bjelakovic)
    • Master Project Network Information Systems (Dr.- Ing. Julius Schulz- Zander)

    • 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

    M. Zheng and P. Pawelczak and S. Stanczak and H. Yu (2013). Planning of Cellular Networks Enhanced by Energy Harvesting. IEEE Communications Letters, 1092–1095.


    R.L.G. Cavalcante and S. Stanczak (2013). A Distributed Subgradient Method for Dynamic Convex Optimization Problems under Noisy Information Exchange. IEEE Journal of Selected Topics in Signal Processing, vol. 7, no. 2, pp. 243-256, April 2013


    I. Koutsopoulos and S. Stanczak (2012). The Impact of Transmit Rate Control on Energy-efficient Estimation in Wireless Sensor Networks. IEEE Trans. Wireless Commun., 3261–3271.


    A. Giovanidis and S. Stanczak (2011). Stability and Distributed Power Control in MANETs with Per Hop Retransmissions. IEEE Transactions on Communications, 1632 -1643.


    S. Stanczak and M. Kaliszan and N. Bambos (2010). A Characterization of Max-Min SIR-Balanced Power Allocation with Applications. Wireless Networks (Springer), 2335–2347.


    S. Stanczak and A. Feistel and M. Wiczanowski and H. Boche (2010). Utility-based Power Control with QoS Support. Wireless Networks (Springer), 1691–1705.


    A. Feistel and S. Stanczak and D. Tomecki (2010). Joint Utility-Based Power Control and Receive Beamforming in Decentralized Wireless Networks. EURASIP Journal on Wireless Communications and Networking.


    S. Stanczak and M. Kaliszan and N. Bambos (2010). Decentralized Admission Control for Power-Controlled Wireless Links. CoRR


    M. Wiczanowski and H. Boche and S. Stanczak (2009). An Algorithm for Optimal Resource Allocation in Cellular Networks with Elastic Traffic. IEEE Transactions on Communications, 41–44.


    H. Boche and S. Stanczak (2008). Strict Convexity of the Log-SIR region. IEEE Transactions on Communications, 1511–1518.


    Conference, Symposium, and Workshop Papers

    D. Schäufele and R.L.G. Cavalcante and S. Stanczak (2019). Tensor Completion for Radio Map Reconstruction using Low Rank and Smoothness. IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)


    R. Panthangi Manjunath and M. Boban and C. Zhou and S. Stanczak (2019). Online Learning Framework for V2V Link Quality Prediction. IEEE GLOBECOM 2019, December 9 – 13, in Waikoloa, Hawaii, USA


    J. Dommel and Z. Utkovski and L. Thiele and S. Stanczak (2019). Sparse Code-Domain Non-Orthogonal Random Access with Turbo-Peeling Decoder. Asilomar Conference on Signals, Systems, and Computers, 3-6 Nov. 2019, in Pacific Grove, CA, USA


    J. Dommel and Z. Utkovski and S. Stanczak and O. Simeone (2019). Joint Source-Channel Coding and Bayesian Message Passing Detection for Grant-Free Radio Access in IoT. (to be accepted)


    M. Frey and I. Bjelakovic and S. Stanczak (2018). Resolvability on Continuous Alphabets. IEEE International Symposium on Information Theory (ISIT), 2018, arXiv:1801.03964


    J. Fink and R. L.G. Cavalcante and P. Jung and S. Stanczak (2018). Extrapolated Projection Methods for PAPR Reduction. 26th European Signal Processing Conference (EUSIPCO 2018), 3-7 Sept. 2018


    D. A. Awan and R.L.G. Cavalcante and M. Yukawa and S. Stanczak (2018). Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach. IEEE International Conference on Communications (ICC), Kansas City, MO, USA.


    L. Miretti and R.L.G. Cavalcante and S. Stanczak (2018). FDD massive MIMO channel spatial covariance conversion using projection methods. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)


    R.L.G. Cavalcante and S. Stanczak (2018). Spectral radii of asymptotic mappings and the convergence speed of the standard fixed point algorithm. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)


    D. A. Awan and R.L.G. Cavalcante and S. Stanczak (2018). A Robust Machine Learning Method for Cell-Load Approximation in Wireless Networks. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Alberta, Canada.


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