dr. S. Safapourhajari (Siavash)

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


Engineering & Materials Science
Discrete Fourier Transforms
Frequency Modulation
Phase Modulation
Phase Shift Keying


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) [8815394] 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

Affiliated Study Programmes



Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2021/2022

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands