Page 24 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks

ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4

[23] Peng Sun, Azzedine Boukerche, and Yanjie Tao. Jia Lei Du received his doctorate degree (Dr.-Ing.) in
“SSGRU: A Novel Hybrid Stacked GRU‑Based Traf‑ Electrical Engineering from the Heinz Nixdorf Institute,
ic Volume Prediction Approach in a Road Net‑ University of Paderborn, Germany for the study of mo-
work”. In: Computer Communications 160 (2020), bile robot cooperation and communication systems, and
pp. 502–511. his diploma degree (Dipl.-Ing.) in Engineering Cyber-
[24] Leslie N Smith. “Cyclical Learning Rates for Train‑ netics from the University of Stuttgart, Germany. Jia Lei
ing Neural Networks”. In: 2017 IEEE winter con‑ Du also worked as a researcher at Philips Medical Sys-
ference on applications of computer vision (WACV). tems, Boeblingen, Germany where he was responsible
for a key component for the reliable communication in a
IEEE. 2017, pp. 464–472.
new patient monitoring product. He is now a researcher
at Salzburg Research and his interests include
AUTHORS
communication networks, distributed systems, and
Martin Happ received his Ph.D. in Mathematics at the multi-robot systems.
University of Salzburg in 2020. His research interests
Peter Dor inger received his diploma degree (DI(FH))
include multivariate statistics, especially repeated mea‑
from the Department of Telecommunications Engineer‑
surements, and nonparametric statistics with a focus on
ing at the Salzburg University of Applied Sciences in
rank procedures. Recently, he started working on ma‑
2002. In 2010 he received his master’s degree (DI) from
chine learning with application in communication net‑
works in his current position at Salzburg Research. the Department of Information Technologies and
Systems Management at the Salzburg University of
Matthias Herlich received a doctorate degree in Com‑ Applied Sciences. He is head of group, senior researcher
puter Science from the Universita ̈ t Paderborn in Ger‑ and project manager within Salzburg Research. He has
many. After working at the Palo Alto Research Center and published more than 40 research papers. His research
the National Institute of Informatics in Tokyo he went to focus is on wired and wireless critical infrastructure
Salzburg Research. His experience ranges from analytic networks with a speci ic focus on measurement and
and simulation‑based approaches to evaluation of mea‑ monitoring. Since 2007, he lectures on network
surements. Recently, he has begun to apply his knowl‑ protocols and services at the Salzburg University of
edge to machine learning for communication networks. Applied Sciences.

Christian Maier received a BSc in Mathematics from the
Technical University of Munich. He is now a researcher
at Salzburg Research. His work focuses on reliability and
bandwidth measurements in wireless networks, and on
the application of machine learning to communication
technologies.

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