ISLANDS

Mehri Nikzad

Mehri Nikzad

Mehri Nikzad was born in Iran. She received her B.Sc. degree in Electrical Engineering from the University of Tabriz and her M.Sc. degree in Telecommunication Engineering from the University of Tehran in 2021. Her master’s thesis focused on hybrid beamforming with low-resolution phase shifters, using deep learning to optimize a dynamic subarray architecture. By estimating precoder weights through a CNN-based approach, the system improved robustness under varying channel conditions and outperformed traditional beamforming methods in both efficiency and performance.
Currently, Mehri is a Ph.D. candidate in the ISLANDS Doctoral Network, hosted at CNIT’s Research Unit in Cassino, Italy. She is working under the supervision of Prof. Luca Venturino. Her research focuses on radar-centric Integrated Sensing and Communication (ISAC) systems in vehicular environments.

Her research interests include wireless communications, machine learning, positioning in vehicular networks, and integrated sensing and communication.