MSc T. Kazaz

PhD student
Circuits and Systems (CAS), Department of Microelectronics

Expertise: Signal processing for communications, Wireless communications and networking, Digital design

Themes: Signal processing for communication


Tarik Kazaz is a PhD student in CAS, working on the SuperGPS project. Tarik Kazaz received his MSc degree with honors in Electrical Engineering from the University of Sarajevo. He gained industry experience working as a Radio Access Network Engineer at BH Mobile, while at the same time he gained research experience while working as a part-time teaching assistant at the Faculty of Electrical Engineering, University of Sarajevo and via several research projects during his work at the Department of Information Technology (INTEC) at Ghent University. Within this department, he was also appointed at the iMinds and afterwards IMEC research institutes, where he was actively involved and contributed to the H2020 research projects WISHFUL and ORCA. Currently, his research is focused on the SuperGPS project at TUDelft. His main research interests include signal processing for communications, wireless communications, software defined radio, cognitive radio and hardware-software co-design for wireless communications and future networks.

SuperGPS: Accurate timing and positioning

Accurate timing and positioning through an optical-wireless distributed time and frequency reference

  1. Multiresolution Time-of-arrival Estimation from Multiband Radio Channel Measurements
    T. Kazaz; R.T. Rajan; GJM Janssen; A.J. van der Veen;
    In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Brighton, UK, IEEE, pp. 4395-4399, May 2019. DOI: 10.1109/ICASSP.2019.8683601

  2. Phase-based distance determination for wireless sensor networks
    T. Kazaz; M. Coutino; G.J.M. Janssen; G.J.T. Leus; A.J. van der Veen;
    Patent, USPTO 621 81 5,1 64, March 2019.

  3. Joint Ranging and Clock Synchronization for a Dense Heterogeneous IoT Networks
    T. Kazaz; M. Coutino; G. Leus; A.J. van der Veen; G. Janssen;
    In 52nd Asilomar Conference on Signals, Systems and Computers,
    Asilomar, CA, IEEE, pp. 2169-2173, November 2018. DOI: 10.1109/ACSSC.2018.8645210

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Last updated: 13 Mar 2019