I am pursuing my PhD in the Mobile Communications Group at the Institute of Telecommunications of TU Wien. My general areas of interest are machine learning, wireless localization, and massive MIMO. My research focuses towards dependable deep learning for wireless localization, developing self-supervised foundation models, and attention-aided channel representation.
I received my BSc in Electrical and Computer Engineering from the University of Prishtina in Kosova and my MSc in Telecommunications from the University of Pittsburgh, PA, in United States. I have industry experience in network design and automation for cellular transport technologies and cloud solutions.
Download my resumé.
TU Wien, Wien, AT
MSc in Telecommunications, 2016
University of Pittsburgh, PA, USA
BSc in Electrical and Computer Engineering, 2011
University of Prishtina, RKS
We show that the whole estimated channel can be fed into the transformer block as a set of subcarriers. Without vectorizing the input, using recurrence, standard convolution operators, or fusion, attention can serve as an adaptive filter for resilient CSI.
The fronthaul overhead issue in distributed RAN for 5G and 6G is addressed in a learning-based approach based on extreme value theory.
The work investigates and proposes MCD and Deep ensembles to account for the uncerstainty measure in wireless channel and network parameters.