Page 7 - Proceedings of the 2018 ITU Kaleidoscope

Chairman's Message

Rudy Omar Grether
General Chairman

The growing ability of Machine Learning to bring more automation and intelligence to
communications networking has become a very exciting area of research, with potential to generate
significant value for the networking industry.

Universidad Tecnológica Nacional is proud to have offered a platform to explore this research at
Kaleidoscope 2018: Machine Learning for a 5G future in Santa Fe, Argentina, 26-28 November 2018.

The establishment of the ITU Academia membership category in 2011 brought greater significance
to Kaleidoscope’s role in fostering academic engagement in the work of ITU.

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The occasion of Kaleidoscope 2018 marked the 10 anniversary of the Kaleidoscope series of
conferences, a tradition that Universidad Tecnológica Nacional will continue to support as an ITU
Academia member.

Kaleidoscope 2018 approached its discussions from a wide variety of perspectives, incorporating
research from technical as well as social sciences.

The Technical Programme Committee chaired by Mostafa Hashem Sherif selected 15 papers from a
total of 47 submissions. Papers were selected through a double-blind, peer-review process supported
by 83 international experts. I would like to thank the Committee and the reviewers for selecting high-
caliber papers for presentation at the conference and identifying papers eligible for awards.

Our distinguished keynote speaker, Hugo Miguel, representing Argentina’s Modernization
Government Secretariat, shared insight into the planned deployment of emerging 5G systems in
Argentina and the Latin-American region at large, including a special focus on public-sector interest
in Machine Learning.

The first Kaleidoscope 2018 invited paper, “A Machine Learning Management Model for QoE
Enhancement in Next Generation Wireless Ecosystems”, was presented by Eva Ibarrola (University
of the Basque Country-UPV/EHU, Spain). The paper explored possible methodologies to develop a
global Quality of Service management model for next-generation wireless ecosystems exploiting
Machine Learning and Big Data. The second invited paper, “Machine Learning Opportunities in
Cloud Computing Data Center Management for 5G Services”, presented by Benjamín Barán
(National University of the East, Paraguay) and co-authored with Fabio López-Pires (Itaipu
Technological Park, Paraguay), focused on opportunities for applications of Machine Learning to

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