Javad EbrahimiZadeh is an Early Stage Researcher for the EU H2020 MSCA-ETN MINTS project. Currently, he is a PhD student at Wavecore-Electrical Engineering Department (ESAT), KU Leuven. His research project topic is to extract multidimensional (time, frequency, space) statistics from high-resolution channel measurements; To design a low complexity mmWave hybrid beamforming antenna and a beam tracking algorithm for realistic channels using machine learning approaches.
Javad Ebrahimi-Zadeh was born in Iran in 1989. He received the B.S. degree in electrical engineering from the University of Sistan and Baluchestan, Zahedan, Iran, in 2011, and the M.S. degree in electrical engineering from Tehran University, Tehran, Iran, in 2015.
His research interests include, passive and active mmwave component designing for massive MIMO techniques, Hybrid beamforming using machine learning methods.
- Location: KU Leuven