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TU Berlin

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Daniyal Amir Awan

I have a master's degree in electrical engineering from Technical University of Berlin. I work as a research associate at TU Berlin and as a guest researcher at the Wireless Communication and Networks Department, Heinrich Hertz Institute, Berlin. My research revolves around application of optimization theory, function approximation, and machine-learning to problems in wireless communication systems. I am currently working in the following directions:

1. Set-membership & robust function approximation in dynamic wireless networks with a small sample set. 

2. Nonlinear detection for multi-user uplink using the set-membership paradigm.

3. Energy optimization in future wireless networks. 

Publications

Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform
Zitatschlüssel ICASSPm2020
Autor M. Mehlhose, D. A. Awan, R. L.G. Cavalcante, M. Kurras, S. Stanczak
Jahr 2020
Journal 45th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, May 4-8, 2020, Barcelona, Spain (accepted demo submission)
Download Bibtex Eintrag

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Daniyal Amir Awan
Wissenschaftlicher Mitarbeiter
Network Information Theory NetIT
HFT 6-1