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Atefeh Rezaei
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Short Bio
Research Engineer and Ph.D. Candidate at TU Berlin, specializing in the intersection of next-generation wireless systems and intelligent sensing. This spans 6G and ISAC system design, mmWave and high-mobility communications, sensing-assisted beam management and tracking, channel prediction, and radar signal processing. I'm also active in emerging areas such as intelligent reflecting surfaces (IRS), UAV-assisted networks, resource allocation under finite blocklength constraints, and machine learning for wireless systems. I have authored peer-reviewed publications in IEEE journals and conferences, with high citation scores, a best paper award, and a travel grant. I am also an active member of the research community, regularly reviewing for leading IEEE venues including IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications, IEEE ICC, IEEE VNC, and IEEE GLOBECOM.
Research Interests
- 6G Wireless Systems and Integrated Sensing and Communication (ISAC): with emphasis on high-mobility mmWave and time-sensitive networks.
- Radar Signal Processing: target detection, localization, and tracking using advanced signal processing and estimation techniques.
- mmWave Communications: sensing-assisted beam management and tracking, channel estimation and prediction, and robust communication strategies under rapidly time-varying channel conditions.
- UAV-Assisted Wireless Networks: joint trajectory design, resource allocation, and system-level optimization for communication and sensing applications.
- Optimization-Based Algorithm Design: machine learning, resource allocation, and reliability analysis.





