Events agenda

Gianni Antichi, Associate Professor at Politecnico di Milano (Italy) and Senior Lecturer (Associate Professor) at the School of Electronic Engineering and Computer Science of Queen Mary University of London

25 Sep

2024

PhD Thesis defense: Characterizing Large-Scale Mobile Traffic Measurements for Urban, Social and Networks Sciences

André Zanella, PhD Student, IMDEA Networks Institute and University Carlos III of Madrid

25 Sep

2024

FedQV: Leveraging Quadratic Voting in Federated Learning

Tianyue Chu, PhD Student at IMDEA Networks Institute, Madrid, Spain

19 Sep

2024

PhD Thesis defense: Metric meta-learning in deep learning models for Intent-based networking

Alan Collet, PhD Student, IMDEA Networks Institute and University Carlos III of Madrid

24 Jul

2024

Reversing the Virtual Maze: An Overview of the Technical and Methodological Challenges for Metaverse App Analysis

Alfonso Rodríguez Barredo de Valenzuela, PhD Student at IMDEA Networks Institute, Madrid, Spain

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IMDEA Networks

IMDEA Networks

“Telecommunications are really at the basis of what is called digital revolution”

PhD position in Integrated Sensing and Communications for 6G

“Telecommunications are really at the basis of what is called digital revolution”

Science and Innovation Week 2024

Characterizing, Modeling and Exploiting the Mobile Demand Footprint of Large Public Protests

Sustainable Provision of URLLC Services for V2N: Analysis and Optimal Configuration

IMDEA Institutes. Science that helps the planet (I)

PhD Thesis defense: User-Plane Algorithms for Stateless and Stateful Inference in Programmable Networks

Towards Network-Assisted Data Collection Systems

PhD Thesis defense: Characterizing Large-Scale Mobile Traffic Measurements for Urban, Social and Networks Sciences

FedQV: Leveraging Quadratic Voting in Federated Learning

PhD Thesis defense: Metric meta-learning in deep learning models for Intent-based networking

Reversing the Virtual Maze: An Overview of the Technical and Methodological Challenges for Metaverse App Analysis