• Can a network learn? Machine Learning methodologies and applications for next generation networking

    July 07-13, 2019

  • Can a network learn? Machine Learning methodologies and applications for next generation networking

    July 07-13, 2019

Aim and scope:
Future networks will strongly rely on machine learning and artificial intelligence for all kinds of applications, including network control and maintenance, traffic monitoring and analysis, efficient routing, etc. The purpose of this Summer School is to provide students with an up-to-date overview of the main machine learning-based methodologies and applications in the field of networking. Through lectures and keynotes from widely recognized experts in the area, selected from both academia and industry, students will focus on both theoretical and practical aspects of machine learning applied to computer networks. Besides frontal lectures and tutorials, the schedule further comprises one hands-on session, so as to permit the students to gain concrete experience with selected methodologies.

Lecturers

Invited Keynote Talks

  • Stefano Basagni
    Learning Green Routes: It Pays to be Smart (...but not too Smart!)
    Northeastern University, Boston, USA
  • Roberto Bifulco
    In-network Machine Learning for Networks
    NEC Labs Europe, Germany
  • Emilio Calvanese Strinati
    Exploring Learning Tools for Mobile Edge Computing
    CEA LETI, France
  • Kaushik Chowdhury
    Deep Convolutional Neural Networks for RF Fingerprinting
    Northeastern University, Boston, USA
  • David Gutierrez Estevez
    Artificial Intelligence for 5G Elastic Network Slicing
    Samsung Electronics R&D Institute, UK
  • Tommaso Melodia
    Toward Learning-based Polyglot IoT Platforms
    NorthEastern University, Boston, USA
  • Diego Perino
    A Telco view on AI for Networks: from Backbone to Rural Area Networks
    Telefonica, Spain
  • Alessandro Redondi
    Building up Knowledge through Passive Wi-Fi Probes
    Politecnico di Milano, Italy
  • Michele Zorzi
    Machine Learning at the Edge
    University of Padua Italy

Schedule

Provisional Schedule

The official language is English.

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Travel and accomodation

Participants will be arranged in comfortable hotels at very special rates. The conference room (located at Hotel Giardino sul Mare, Via Maddalena, Lipari) is air-conditioned and equipped with all conference materials. Special areas are reserved to students for the afternoon coursework and study. The island of Lipari can be easily reached from Milazzo, Palermo, Naples, Messina and Reggio Calabria by ferry or hydrofoil (50 minutes from Milazzo).

Registration

Two kinds of participants are welcome.

Students: Participants who are expected to do afternoon coursework and take a final exam (The grades will be given following the ECTS grading scale). The course will involve a total of 24 hours of teaching. Passing the final exam gives right to an equivalent of 6 ECTS credits in any Ph.D. program.

Auditors: participants who are not interested in taking the final exam.

Registration fees is 500 €. The fee covers the course material, bus+hydrofoil Catania airport-Lipari-Catania airport, social events and coffee breaks. Late registration is 600 €. 
Early registration applications can be submitted from February 18th, 2019 up to  May 27th, 2019. Late registrations will be accepted until July 1st, 2019. Admission notification will start on February 18th, 2019, according to registration time. Applicants must include a short curriculum vitae or an updated link to an official website.  In case of cancellation after fees payments, a 25% penalty will be applied. In case of credit card payment, processing fees cannot be reimbursed. Payment must be received by May 31st, 2019 for Regular Registration and July 1st, 2019 for Late Registration.

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Directors

Giuseppe Bianchi (University of Roma Tor Vergata, Italy)
Antonio Capone (Politecnico di Milano, Italy)
Sergio Palazzo (University of Catania, Italy)

Lipari School Permanent Director

Alfredo Ferro (University of Catania, Italy)

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School Organizing Committee

Prof. Alfredo Ferro
Prof. Alfredo Pulvirenti
Prof. Rosalba Giugno
Dr. Salvatore Alaimo
Dr. Giovanni Micale