Forschungsbereich von Hr. M.Sc. Bashar Husain

My research is focused on ultra-reliable low latency communication aspects for industrial wireless sensors network (IWSN). More specifically, channel coding and deep learning-based solutions are of more interest. 

State-of-the-art channel coding, such as convolutional, turbo, and polar coding are being investigated in my Ph.D. work under certain requirements for IWSN. Those requirements are latency, throughput, and reliability, where the overall goal is to find the most suitable coding techniques considering different IWSN scenarios.

Additionally, I am pursuing research activities in the terahertz domain, such as optimizing a MEMS-based reflector array for terahertz imaging and spectroscopy applications by utilizing deep learning algorithms. My current research interests are channel coding, deep learning for communication, modelling and compensation of non-linear distortion in optoelectronic-based terahertz communication systems.