EVOLVE International Conference

EVOLVE 2014 July 1-4
Beijing, China

HomeTracks and sessionsMachine Learning Applied to Networks

Machine Learning Applied to Networks (MLAN)

NEW DEADLINE:  February 28, 2014

Organizers: Slawomir Kuklinski (chair), Emilia Tantar (co-chair)


Nowadays communication networks work by relying on a limited number of communication protocols, namely responsible for data switching or routing. These protocols are typically based on some heuristic assumptions and rarely provide an optimized network behaviour. Moreover, they only provide a limited functionality. As a consequence, additional network operation support is needed, typically related to network configuration, fault management and performance optimization via policy control. Such management operations are in most cases centralized and often performed manually.

The growing number of nodes and users as well as the increase in complexity of all kinds of communication networks call for a new approach in operation and management. On the other hand, some new networking concepts offer new grounds for the automation of most control and management operations. Namely, they allow optimizing the network performance, increase the robustness and automate the time critical management operations. It is worthwhile mentioning the concepts like Software Defined Networking (SDN), 3GPP Self-organizing Networks (SON), or autonomic networking paradigm. A key role of all these concepts is played by algorithms responsible for the behaviour of the network. The complexity and distributed nature of communication networks require sophisticated algorithms that are able to adapt to changes in network topology, faults, dynamic requirements, users’ mobility and their communication demands. In this context, machine learning based algorithms, that are  able to adapt to a changing environment, may play an important role. The aim of this track is to address all potential applications of machine learning techniques in network control and management operations, including the following technologies:

  • 3GPP Self-organizing Networks (SON)
  • Software Defined Networking (SDN)
  • Energy efficient enabled networking
  • IP protocols based networks
  • Mobile networks
  • Autonomic and cognitive network management
  • Wireless networks
  • Sensor networks
  • Networks security

Workshop Chair: Slawomir Kuklinski, Warsaw University of Technology and Orange Labs Poland
Workshop Co-chair: Emilia Tantar, University of Luxembourg

Technical Program Committee:

  1. Prosper Chemouil, Orange Labs, France
  2. Radu State, UL, Luxembourg
  3. Latif Ladid, UL, IPv6 Forum, Luxembourg
  4. Thorsten Ries, UL, Luxembourg
  5. Zwi Altman, Orange, France
  6. Petteri Mannersalo, VTT, Finland
  7. Jarosław Arabas, WUT Poland
  8. Jacek Wytrębowicz, WUT, Poland
  9. Andrzej Duda, INP Grenoble, France
  10. Alex Galis, UCL, United Kingdom
  11. Brian Lee, AIT, Ireland
  12. Tony Jokikyyny, Ericsson Finland
  13. Wendong Wang, BUPT, China
  14. Yuhong Li, BUPT, China
  15. Aki Nakao, University of Tokyo
  16. Ranganai Chaparadza, IPv6 Forum
  17. Tija Ojanpera, VTT, Finland
  18. Vilho Raisanen, NSN, Finland
  19. Minho Jo, South Korea


Sławomir Kukliński

SlawomirKuklinskiDr. Sławomir Kukliński received Ph.D. degree in Telecommunications from Warsaw University of Technology (WUT), Institute of Telecommunications, in 1994 with honors and since then he is Assistant Professor there. He is teaching about mobile and wireless systems. From 2003 he works also for Telekomunikacja Polska R&D Centre (at present it is Orange Labs Poland) as research expert. He has 25 years long experience in telecommunications. At present he is focused on Future Internet and mobile and wireless systems evolution. He led many national research projects as principal investigator. In his career he was involved in many international projects, including EU funded FP6 MIDAS project concerning context aware routing, FP7 project EFIPSANS concerned autonomic management, the ProSense project on sensor networks, and in FP7 project 4WARD in which he was working on new paradigms of network management. At present he is playing a key role in the Celtic COMMUNE Project (2011-2014), which concerns cognitive network management under uncertainty and from 2013 he is the coordinator of 3 years long Polish-Luxembourgish project on Cognitive SDN (CoSDN). Slawomir Kuklinski also participates in ITU-T standardization (Study Group 13). He published many conference and journal papers, was a member of TPC of many conferences, and served as a reviewer to many conferences and journals, including IEEE Communications Magazine.


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