Machine Learning for Wireless Communications

Simply saying that the WindMill Project combines machine learning with wireless communication would be a grave oversimplification. Here you will find a detailed explanation of what WindMill is, what its goals are and why the project exists.

Apart from doing research, the Project’s main objective is to help create a new generation of experts. We organise training schools where experts from the fields of machine learning and wireless communications share their knowledge with out Early Stage Researchers.

Where would science be if it weren’t for sharing information? The WindMill Project understands that sharing is caring, so we established the Knowledge Sharing Platform so that our Early Stage Researchers can share their findings and experiences with the world.

An important part of a PhD student’s life is to publish one’s findings and share it with the community of researchers. The WindMill Project offers a library of all papers and other documents published by our participants. You can access them here.

The WindMill Project would be nothing without its Early Stage Researchers. Fifteen of them are currently employed across the partner institutions, receiving practical experience and contributing to the scientific community.

WindMill is a European Training Network project within the framework of the H2020 Marie Skłodowska-Curie Innovative Training Networks.

News from the network

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#ResearchPitch by Dariush Salami

Our ESR Dariush Salami​ is ready to share insights into his research project – Radar-based Gesture Recognition. Supervisor: Stephan Sigg, Aalto University. You can also find more publications and deliverables on our dissemination...

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#ResearchPitch by Cristian Jesús Vaca Rubio​

Our ESR Cristian Jesús Vaca Rubio​ is ready to share insights into his research project – Radio Sensing with Large Intelligent Surface for 6G. Supervisor: Elisabeth de Carvalho. If you would like...

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#ResearchPitch by Matteo Zecchin

Our ESR Matteo Zecchin is ready to share insights into his research project – User-Centric Federated Learning. Supervisors: David Gesbert and Marios Kountouris.

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#ResearchPitch by Mateus Pontes Mota

Our ESR Mateus Pontes Mota is ready to share insights into his research project – MAC Protocol Emergence with Multi-Agent Reinforcement Learning. Supervisor: Alvaro Valcarce Rial. If you would like...

Read more
cover

#ResearchPitch by Dariush Salami

Our ESR Dariush Salami​ is ready to share insights into his research project – Radar-based Gesture Recognition. Supervisor: Stephan Sigg, Aalto University. You can also find more publications and deliverables on our dissemination...

Read more

#ResearchPitch by Cristian Jesús Vaca Rubio​

Our ESR Cristian Jesús Vaca Rubio​ is ready to share insights into his research project – Radio Sensing with Large Intelligent Surface for 6G. Supervisor: Elisabeth de Carvalho. If you would like...

Read more

#ResearchPitch by Matteo Zecchin

Our ESR Matteo Zecchin is ready to share insights into his research project – User-Centric Federated Learning. Supervisors: David Gesbert and Marios Kountouris.

Read more

#ResearchPitch by Mateus Pontes Mota

Our ESR Mateus Pontes Mota is ready to share insights into his research project – MAC Protocol Emergence with Multi-Agent Reinforcement Learning. Supervisor: Alvaro Valcarce Rial. If you would like...

EU Commission

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813999.