Ahmad Khalil is a doctoral researcher interested in applying Data Science and machine learning in vehicular networks. He is currently pursuing a doctorate degree at the KOM department under the supervision of Prof. Steinmetz. He obtained his master's degree in Distributed Software Systems from TUDa in 2021 with the thesis "Realization of Multi-tree Federated Learning". He is part of “MAKI– Multi-Mechanisms Adaptation for the Future Internet” in sub-project B1.
I am interested in enabling pervasive federated learning mechanisms for more adaptive, robust, and efficient vehicular internet of things across different network technologies.