direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Prof. Dr.-Ing. Slawomir Stanczak

Lupe [1]
© TU Berlin/Pressestelle/Philipp Arnoldt

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 [2]

    arXiv [3]

    LinkedIn [4]


    Publications [5]

    Preprints

    1 [6] | 2 [7]

    1 [8] | 2 [9]

    Books

    Book Chapters

    Journal Publications

    << previous [10]

    1 [11] | 2 [12] | 3 [13] | 4 [14] | 5 [15] | You are at page:6 | 7 [16]

    next >> [17]

    M. Wiczanowski and S. Stanczak and H. Boche (2008). Providing Quadratic Convergence of Decentralized Power Control in Wireless Networks—The Method of Min-Max Functions [18]. IEEE Transactions on Signal Processing, 4053–4068.

    H. Boche and M. Wiczanowski and S. Stanczak (2008). On Optimal Resource Allocation in Cellular Networks with Best-Effort Traffic [19]. IEEE Transactions on Wireless Communications, 1163–1167.

    S. Stanczak and M. Wiczanowski and H. Boche (2007). Distributed Utility-Based Power Control: Objectives and Algorithms [20]. IEEE Trans. Signal Processing, 5058–5068.

    H. Boche and S. Stanczak (2007). A Note on Some Properties of the Perron Root of Nonnegative Irreducible Matrices [21]. Appl. Alg. Eng. Comm. Comp., 369–378.

    S. Stanczak and H. Boche (2007). On the Convexity of Feasible QoS Regions [22]. IEEE Transactions on Information Theory, 779-783.

    H. Boche and M. Wiczanowski and S. Stanczak (2007). Unifying View on Min-Max Fairness, Max-Min Fairness, and Utility Optimization in Cellular Networks [23]. EURASIP J. Wireless Commun. and Net.

    H. Boche and S. Stanczak (2006). The Kullback–Leibler Divergence and Nonnegative Matrices [24]. IEEE Transactions on Information Theory, 5539-5545.

    S. Stanczak and H. Boche (2006). The Infeasible SIR Region Is Not a Convex Set [25]. IEEE Transactions on Communications, 1905-1907.

    S. Stanczak and G. Wunder and H. Boche (2006). On Pilot-based Multipath Channel Estimation for Uplink CDMA Systems: An Overloaded Case [26]. IEEE Trans. Signal Processing, 512-519.

    H. Boche and S. Stanczak (2005). Log-Convexity of the Minimum Total Power in CDMA Systems with Certain Quality-Of-Service Guaranteed [27]. IEEE Transactions on Information Theory, 374-381.

    << previous [28]

    1 [29] | 2 [30] | 3 [31] | 4 [32] | 5 [33] | You are at page:6 | 7 [34]

    next >> [35]

    Conference, Symposium, and Workshop Papers

    << previous [36]

    1 [37] | 2 [38] | 3 [39] | 4 [40] | 5 [41] | You are at page:6 | 7 [42] | 8 [43] | 9 [44] | 10 [45] | 11 [46] | 12 [47] | 13 [48] | 14 [49] | 15 [50] | 16 [51] | 17 [52] | 18 [53] | 19 [54] | 20 [55] | 21 [56] | 22 [57] | 23 [58] | 24 [59]

    next >> [60]

    M. Raceala-Motoc and S. Limmer and I. Bjelakovic and S. Stanczak (2018). Distributed Machine Learning in the Context of Function Computation over Wireless Networks [61]. 52nd Asilomar Conference on Signals, Systems and Computers 2018, Preprint.

    R. L. G. Cavalcante and S. Stanczak (2018). Low-complexity distributed set-theoretic decoders for analog fountain codes [62]. 52nd Asilomar Conference on Signals, Systems and Computers 2018, Preprint.

    F. Molinari and S. Stanczak and J. Raisch (2018). Exploiting the Superposition Property of Wireless Communication for Max-Consensus Problems in Multi-Agent Systems [63]. European Control Conference, Limassol, Cyprus, June 12-15

    R. L. G. Cavalcante and L. Miretti and S. Stanczak (2018). Error Bounds for FDD Massive MIMO Channel Covariance Conversion with Set-Theoretic Methods [64]. Proc. IEEE Global Telecommunications Conference (GLOBECOM), Dec. 2018 (to appear)

    M.A. Gutierrez-Estevez and R.L.G. Cavalcante and S. Stanczak (2018). Nonparametric Radio Maps Reconstruction via Elastic Net Regularization with Multi-Kernels [65]. IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

    M. Raceala-Motoc and P. Jung and Z. Utkovski and S. Stanczak (2018). C-RAN-Assisted Non-Coherent Grant-Free Random Access Based on Compute-and-Forward [66]. IEEE GLOBECOM 2018

    R. L. G. Cavalcante and S. Stanczak (2018). Spectral radii of asymptotic mappings and the convergence speed of the standard fixed point algorithm [67]. Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018

    D. A. Awan and R. L.G. Cavalcante and Z. Utkovski and S. Stanczak (2018). Set-Theoretic Learning for Detection in Cell-Less C-RAN System [68]. IEEE Global Conference on Signal and Information Processing, California, USA, Nov. 26-29, 2018

    L. Miretti and R. L.G. Cavalcante and S. Stanczak (2018). Downlink channel spatial coveriance estimation in realistic FDD massive MIMO systems [69]. 6th IEEE Global Conference on Signal and Information Processing, Anaheim, California, USA, Nov. 26-29, 2018

    B. Shin and M. Yukawa and R. L.G. Cavalcante and S. Stanczak (2018). A hybrid dictionary approach for distributed kernel adaptive filtering in diffusion networks [70]. ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    << previous [71]

    1 [72] | 2 [73] | 3 [74] | 4 [75] | 5 [76] | You are at page:6 | 7 [77] | 8 [78] | 9 [79] | 10 [80] | 11 [81] | 12 [82] | 13 [83] | 14 [84] | 15 [85] | 16 [86] | 17 [87] | 18 [88] | 19 [89] | 20 [90] | 21 [91] | 22 [92] | 23 [93] | 24 [94]

    next >> [95]

    This site uses Matomo [96] for anonymized web analytics. More information and opt-out options under data protection.

    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
    e-mail query [97]
    Website [98]

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

    Lupe [99]
    © ITU-T 2017- 2020
    Lupe [100]
    © TUBS GmbH
    ------ Links: ------

    Zusatzinformationen / Extras

    Quick Access:

    Schnellnavigation zur Seite über Nummerneingabe

    Auxiliary Functions

    Copyright TU Berlin 2008