Programme

​Opening plenary

• Welcome remarks: Rudy Omar Grether (Dean of the Santa Fe Regional Faculty, Universidad Tecnológica Nacional, Argentina and ITU Kaleidoscope 2018 General Chairman)
• Opening address: Ignacio Tabares (Secretary of Technologies for Management and Government of the Province of Santa Fe, Argentina)
  
• Opening address: Chaesub Lee (Director, Telecommunication Standardization Bureau, ITU)
• Welcome remarks: Hector Huici​ (Secretary of Information Technologies and Communications, Argentina)
  
• Welcome remarks: Pablo Gustavo Farías​ (Minister of Government and State Reform of the Province of Santa Fe, Argentina)
  

​Keynote speech

Impact of Machine Learning in 5G Planning and Deployment [Presentation]
Hugo Miguel (Under Secretary of Planning, Information and Communications Technologies Secretariat, Modernization Government Secretariat, Argentina)
Session chair: Maria Victoria Sukenik (Modernization Government Secretariat​, Argentina)

​Session 1 – Machine Learning in Telecommunication Networks – I
Session chair: Ved P. Kafle (National Institute of Information and Communications Technology, Japan)

• S1.1  Invited paper - A Machine Learning Management Model for QoE Enhancement in Next Generation Wireless Ecosystems  [Presentation]
  Eva Ibarrola (University of the Basque Country (UPV/EHU), Spain); Mark Davis (Dublin Institute of Technology (DIT), Ireland); Camille Voisin and Ciara Close (OptiWi-fi, Ireland); Leire Cristobo (University of the Basque Country (UPV/EHU), Spain)
• S1.2 Unsupervised Learning for Detection of Leakage from the HFC Network [Presentation]
  Emilia Gibellini and Claudio E. Righetti (Telecom Argentina, Argentina)
• S1.3  Double Sarsa Based Machine Learning to Improve Quality of Video Streaming over HTTP Through Wireless Networks [Presentation]
  Dhananjay Kumar and Narmathaa Logganathan (Anna University, India); Ved P. Kafle (National Institute of Information and Communications Technology, Japan)

​Session 2 – Artificial Intelligence and 5G
Session chair: Dhananjay Kumar (Anna University, India)

• S2.1 Self-Healing and Resilience in Future 5G Cognitive Autonomous Networks* [Presentation]
  Janne Ali-Tolppa​ (Nokia Bell Labs, Germany); Szilárd Kocsis, Benedek Schultz and Levente Bodrog (Nokia Bell Labs, Hungary); Márton Kajó (Technical University of Munich, Germany)
• S2.2 AI as a Microservice (AIMS) over 5G Networks [Presentation]
  Gyu Myoung Lee (Liverpool John Moores University, United Kingdom); Tai-Won Um (Chosun University, Rep. of Korea); Jun Kyun Choi (Korea Advanced Institute of Science & Technology, Rep. of Korea)
• S2.3 Multifractal Modeling of the Radio Electric Spectrum Applied in Cognitive Radio Networks* [Presentation]
  Luis Tuberquia David and Cesar Hernández (Universidad Distrital Francisco José de Caldas, Colombia)
• S2.4 Towards Cognitive Autonomous Networks in 5G* [Presentation]
  Stephen S. Mwanje and Christian Mannweiler (Nokia Bell Labs, Germany)

​Tutorial on "Artificial Intelligence: Pros and Cons"
Artificial Intelligence (AI) is a discipline of computer science that is growing exponentially. Its transformation power already impacts people lives, making things smarter and smarter. AI emerges as a tool that helps human beings to solve problems that for years could not be tackled, and to carry out activities more efficiently and in a better way. However, there are some challenges that must be addressed, such as transparency, security and trust. While opportunities are great, some risks arise. In this context, new fears have emerged, such as the possibility of losing control over AI tools, and its consequences. In recent years, there have been examples of these types of threats. Even though this field of research is still developing, it is already driving the new industrial revolution. In light of this, it will be necessary to make users aware of the pros and cons of AI, in order to promote its benefits and its use for good.

Panelists [Presenta​tion​]:

• Maria de los Milagros Gutiérrez​ (Professor, CIDISI Research Center, Universidad Tecnológica Nacional, Argentina)
  
• Luciana Ballejos (Professor, CIDISI Research Center, Universidad Tecnológica Nacional, Argentina)
  
• Maria Guadalupe Gramajo (Doctoral Fellow, CIDISI Research Center, Universidad Tecnológica Nacional, Argentina)