Date: April 8-11, 2019
Location: Castelldefels (Barcelona), Spain
Venue: Centre Tecnòlogic de Telecomunicacions de Catalunya (CTTC)
Organizers: Carles Antón-Haro (CTTC), Adriano Pastore (CTTC)
Over the last decade we have witnessed a series of impressive breakthroughs in data science and AI thanks to important advances in the algorithmic efficiency of data-driven approaches, such as deep learning. While the prime examples of disruptive progress have occurred in fields such as computer vision or natural language processing, there is still a huge potential for these improvements to carry over to other disciplines such as communications engineering. Incipient research has demonstrated the benefits of machine learning for the lower layers of the communication stack, including coding, modulation, equalization, detection, resource allocation, etc.
This training school will revolve around the application of Machine and Deep Learning techniques to the design of (beyond) 5G communication systems, with particular emphasis on physical and lower layers. The training school will comprise keynote and tutorial lectures by renowned researchers from academia and industry, focused presentations on recent advances in this research field and hands-on sessions. The school will be held in Spring 2019 in Barcelona, a global 5G technology hub in the south of Europe and one of the top attractive European destinations.
This training school is open to all, but young PhDs and early-stage researchers in electrical engineering, computer science or related fields are particularly welcome to attend and participate!
Mérouane Debbah – Huawei Paris & Centrale Supélec Paris, France
Yair Be’ery – Tel-Aviv University, Israel
Osvaldo Simeone – King’s College London, UK
Sebastian Cammerer – University of Stuttgart, Germany
Deniz Gündüz – Imperial College London, UK
Mehdi Bennis – University of Oulu, Finland
Carles Antón-Haro – Centre Tecnològic de Telecomunicacions de Catalunya, Spain
Adriano Pastore – Centre Tecnològic de Telecomunicacions de Catalunya, Spain
Timothy O’Shea – DeepSig Inc. & Virginia Tech, USA
Wolfgang Utschick – Technical University of Munich, Germany
Registrations are managed by EURACON, the European Association for Communications & Networking (www.euracon.org)
Attendees are invited to register for the 6th Training School by completing the following two steps:
- Fill out this FORM
- Proceed to the payment of the course fee: € 190 (please see below for more details)
Registration deadline: 25 March 2019
Course fees include lunches, coffee breaks, a social event and a gala dinner. They do not cover other expenses such as accommodation or transportation.
Fees can be paid via bank transfer or PayPal:
Account Holder: Euracon, AISBL, Avenue Georges Lemaitre 4-6, 1348 Louvain-la-Neuve, Belgium
Bank name: BNP Paribas Fortis NV (Louvain-la-Neuve)
Bank address: Place de l’Université 6, 1348 Louvain-la-Neuve, Belgium
IBAN: BE84 0016 9348 0459
SWIFT-BIC code: GEBABEBB
REFERENCE: [Your first name] [Your last name], registration at IRACON 6th TS Barcelona
Euracon accepts PayPal payments by adding 3% + € 0,35 for transaction fees.
To use the online payment, please send an email with subject “EURACON Online Payment – 6th Training School Barcelona” to email@example.com
You will then receive an email from PayPal including the invoice and the payment instructions.
Please note: PayPal accepts Visa, MasterCard, American Express, Discover, or PayPal account payments. A PayPal account is not required for online credit card payments.
Receipts will be sent by email once EURACON has received the full registration and the related payment.
If you need a pro-forma invoice, please write an email to firstname.lastname@example.org
COST CA15104 (IRACON) offers a limited number of Grants (up to € 400 each) to attend the training school.
Priority will be given to PhD students and ECIs of the institutions participating in the Action.
Grants are meant as a contribution to the expenses and do not cover all the costs related to the training school.
- Subject of the email: IRACON 6th Training School – Grant Application
- Name, Affiliation and Country of the applicant
- Career status: PhD student, PostDoc, Assistant, Industry researcher, …
- CV in attachment
Grant applications are officially accepted from 18 February until 11 March 2019
Emails received before or after this timespan will not be considered
We encourage all participants to present their current research with a poster (size A0, portrait). Any topic that is tangent to either communications engineering, or machine learning, or artificial intelligence (or a combination thereof), is welcome. The poster session will be an opportunity for students, lecturers and others to informally engage in conversation and exchange ideas.
Poster slots will be reserved on a first come first serve basis until 8 March 2019.
Machine learning challenge
We kindly ask all participants to bring their laptop in order to participate in the machine learning challenge. Note that the only requirement is WiFi connectivity and access to a browser. The computational power of your device is irrelevant, since the challenge will consist in editing some ready-to-use Jupyter notebooks. All computations will be performed in the cloud.
The knowledge necessary to participate in the challenge will be imparted on Day 1. No advanced programming skills or familiarity with machine learning libraries is required. However, rudimentary knowledge of the Python programming language can be helpful, but is no requirement.
The challenge will be presented on Day 1 (Monday, April 8) and winner(s) will be announced on Day 4 (Thursday, April 11).
Grant request opening date: 18 February 2019
Grant request closing date: 11 March 2019
Grants notification: 14 March 2019
Registration closing date: 25 March 2019