Roman Klus: Revolutionizing location-awareness in wireless networks with deep learning

For his doctoral dissertation, M.Sc. Roman Klus introduced a number of deep learning models to improve the localization and location-awareness capabilities within the current and future wireless networks, while focusing on challenges such as non-line-of-sight, network uncertainty, or data scarcity. The proposed solutions ensure localization accuracy and reliability, as well as support other network functions relying on knowledge of the user position, for example mobility management.