Looking back at CONNECT’s Machine Learning summer school

CONNECT hosted a summer school on ‘Machine Learning for Communication Systems and Networks’ from 2 September to 4 September 2019. The summer school was attended by 50 PhD students and 30 other researchers from academia and industry.

Here are some comments from our speakers:

Machine Learning and Communication Networks: A Primer
Dr. Irene Macaluso, Trinity College Dublin

Deep Learning Powered Mobile Traffic Analytics
Prof. Paul Patras, University of Edinburgh

Machine Learning and Ethics
Dr Tom O’Dea, Trinity College Dublin 

Innovating Machine Learning.
Dermot Casey, NDRC

Online learning and optimization for wireless communication systems
Panayotis Mertikopoulos, Laboratoire d’Informatique de Grenoble, Grenoble, France.

Deep Learning – Engineering for human interaction
Dennis McNulty, Trinity College Dublin

‘Machine what?’ Tips for communicating your research to non-technical audiences
Dr Claire O’Connell

Communication Networks Design in the Era of Deep Learning: Model-Based, AI-Driven, or Both?
Prof. Marco Di Renzo, Paris-Saclay University / CNRS, France

Mobile Users’ Behavior Modelling and Prediction Via Deep Learning
Prof Yong Li, Tsinghua University, Beijing

Deep Learning for the Physical Layer: Recent Results and Future Directions
Dr. Jakob Hoydis, Nokia Bell Labs, France

CONNECT is the world leading Science Foundation Ireland Research Centre for Future Networks and Communications. CONNECT is funded under the Science Foundation Ireland Research Centres Programme and is co-funded under the European Regional Development Fund. We engage with over 35 companies including large multinationals, SMEs and start-ups. CONNECT brings together world-class expertise from ten Irish academic institutes to create a one-stop-shop for telecommunications research, development and innovation.


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