Research areas: D2D communications, Machine learning, Radio resource management, Flying base stations
Mehyar Najla has received his Ph.D. degree from the department of Telecommunication Engineering at Czech Technical University in Prague, Czech Republic in 2021. His Ph.D. dissertation thesis focused on finding advanced radio resource allocation methods for Device-to-Device (D2D) communication via machine learning and game theory has received the Dean’s Award for Prestigious Dissertation Thesis 2021. Since 2016, he has been with the team of 5Gmobile research lab at Czech Technical University in Prague working on research topics related to future mobile networks. He was/is involved in several national research projects focused on the combination of radio frequency and visible light communication for D2D communication, machine learning for wireless networks, and mobile networks with flying base/relay stations. In 2019, he was on an internship at EURECOM, France, with a research topic related to the prediction of D2D communication channels via neural networks. He has co-authored more than 10 conference/journal papers. His research interests include machine learning and discriminative prediction in mobile networks covering radio resource management, device-to-device communication, hybrid radio frequency and visible light communication systems and mobile networks with flying base/relay stations in addition to game theoretic techniques for resource allocation in wireless and mobile networks.