TU Berlin

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

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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

M. Goldenbaum and H. Boche and S. Stanczak (2015). Nomographic Functions: Efficient Computation in Clustered Gaussian Sensor Networks. IEEE Trans. Wireless Commun., 2093–2105.


S. Maghsudi and S. Stanczak (2015). Channel Selection for Network-Assisted D2D Communication via No-Regret Bandit Learning With Calibrated Forecasting. IEEE Transactions on Wireless Communications, 1309-1322.


F. Penna and S. Stanczak (2015). Decentralized Eigenvalue Algorithms for Distributed Signal Detection in Cognitive Networks. IEEE Transactions on Signal Processing, 63(2):427-440, Jan. 2015


R. Cavalcante and S. Stanczak and M. Schubert and A. Eisenblätter and U. Türke (2014). Toward Energy-Efficient 5G Wireless Communications Technologies. IEEE Signal Processing Magazine, vol. 31, no. 6, pp. 24-34, Nov. 2014


M. Goldenbaum and S. Stanczak (2014). On the Channel Estimation Effort for Analog Computation Over Wireless Multiple-Access Channels. IEEE Wireless Communications Letters, 261-264.


G. Cao and P. Jung and S. Stanczak (2014). Low Cost Error Correction for Multi-hop Data Aggregation Using Compressed Sensing. IEICE Trans. on Information and System


A. Giovanidis and Q. Liao and S. Stanczak (2014). Measurement-Adaptive Cellular Random Access Protocols. Wireless Networks. Springer Verlag (Germany), 1495-1514.


M. Goldenbaum and H. Boche and S. Stanczak (2013). Harnessing Interference for Analog Function Computation in Wireless Sensor Networks. IEEE Transactions on Signal Processing, 4893–4906.


M. Goldenbaum and S. Stanczak (2013). Robust Analog Function Computation via Wireless Sensor Multiple-Access Channels. IEEE Transactions on Communications, 3863-3877.


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.


Conference, Symposium, and Workshop Papers

R. Hernangómez and A. Santra and S. Stanczak (2019). Human Activity Classification with Frequency Modulated Continuous Wave Radar Using Deep Convolutional Neural Networks. RADAR 2019 International Conference, 23-27 Sept. 2019, Toulon, France


J. Fink and D. Schäufele and M. Kasparick and R.L.G. Cavalcante and S. Stanczak (2019). Cooperative localization by set-theoretic estimation. 23rd International ITG Workshop on Smart Antennas (WSA), Vienna, Austria, 24-26 April 2019


R. P. Manjunath and M. Boban and C. Zhou and S. Stanczak (2019). Using Learning Methods for V2V Path Loss Prediction. Phy & Fundamentals of the IEEE WCNC 2019 conference, in Marrakech, Morocco, April 15-18


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)


R.L.G. Cavalcante and Slawomir Stanczak (2019). Weakly standard interference mappings: existence of fixed points and applications to power control in wireless networks. International Conference on Acoustics, Speech, and Signal Processing, 12 - 17 May, 2019 in Brighton, UK


J. Fink and R.L.G. Cavalcante and S. Stanczak (2019). Multicast beamforming using semidefinite relaxation and bounded perturbation resilience. International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 12 - 17 May 2019


Z. Utkovski and P. Agostini and M. Frey and I. Bjelakovic, and S. Stanczak (2019). Learning radio maps for physical-layer security in the radio access. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, July 2-5 2019. (invited)


N. Agrawal and M. Frey and S. Stanczak (2019). A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks. IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2-5 July 2019, Cannes, France, arXiv:1903.02885


Z. Utkovski and P. Agostini and M. Frey and I. Bjelakovic and S. Stanczak (2019). Learning Radio Maps for Physical-Layer Security in the Radio Access. IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2-5 July 2019, Cannes, France


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