dr. S. Safapourhajari (Siavash)

Assistant Professor

About Me

I was born in a small town in the north of Iran. I received my BSc. and MSc. degrees from University of Tehran both in Electrical Engineering. My Master thesis was focused on clock and data recovery schemes for high speed serial links. During my Master studies (2012), I also did a six month DAAD funded research collaboration with University of Rostock, Germany, on the optical Networks on Chip. In 2015, I joined the Computer Architecture for Embedded Systems (CAES) research group, University of Twente, as a PhD candidate. During my PhD I investigated signal processing in digital receivers for UNB communications and Low Power Wide Area Networks (LPWANs). After my PhD in 2020, I joined the Radio Systems (RS) group as an Assistant Professor.

My general research area is signal processing for communication systems including low power IoT and enabling technologies for 5G and beyond such as (ultra) massive MIMO, cell-free massive MIMO, mmWave/THz and UAV assisted communications. Furthermore, I am interested in the application of Artificial Intelligence (AI) and learning algorithms in future generations of wireless communications (specially in PHY layer). I enjoy investigating signal processing algorithms as well as their efficient implementation while considering the effects/requirements of RF front-end and digital hardware


Phase Shift Keying
Discrete Fourier Transforms
Frequency Modulation
Phase Modulation
Discrete Fourier Transforms
Sensor Nodes


Safapourhajari, S. , & Kokkeler, A. B. J. (2019). Low Complexity Synchronization for Offset Tolerant DFT-Based BFSK Demodulator. In 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) IEEE. https://doi.org/10.1109/SPAWC.2019.8815394
Safapourhajari, S. , & Kokkeler, A. B. J. (2019). Offset Tolerant Demodulator for Frequency/Phase Modulation in Time-Varying Channel. In 2019 IEEE Wireless Communications and Networking Conference (WCNC) [8886086] (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2019). IEEE. https://doi.org/10.1109/WCNC.2019.8886086

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Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Carré (building no. 15)
Hallenweg 23
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
P.O. Box 217
7500 AE Enschede
The Netherlands