Susana Sargento

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PhD/Professor

Universidade de Aveiro

Portugal

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About

Susana Sargento is a Professor at Universidade de Aveiro in Portugal. Her research focuses on the intersection of urban mobility, 5G networks, and smart city technologies, as evidenced by her recent publications on vehicular connectivity, edge-cloud orchestration, and time-sensitive smart city challenges. She also explores machine learning applications for forecasting 5G metrics and enhancing quality of service in network systems.

Recent Grants

Grant: Close

MH-SDVanet Multihomed Software Defined Vehicular Networks

Open Date: 2021-03-01

Close Date: 2024-02-28

Grant: Close

Fleet of dRones for radIological inspEction, commuNication anD reScue

Open Date: 2018-10-01

Close Date: 2022-03-31

Grant: Close

Efficient information centric networks for IoT infrastructures

Open Date: 2018-08-10

Close Date: 2022-03-09

Grant: Close

InfoCent-IoT - Efficient information centric networks for IoT infrastructures

Open Date: 2018-08-01

Close Date: 2022-03-01

Grant: Open

ORCIP - Optical Radio Convergence Infrastructure for Communications and Power Delivering

Open Date: 2017-05-01

Close Date: 2029-04-01

Articles (19)

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PORTUGAL

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Margarida Coelho

Assistant Professor

Universidade de Aveiro

PORTUGAL

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Miguel Luís

Adjunct Professor

Universidade de Lisboa Instituto Superior Técnico

PORTUGAL

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Ana Almeida

University of Aveiro

PORTUGAL

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Susana Brás

Universidade de Aveiro

PORTUGAL

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Susana Sargento

Research Interests

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About

Recent Grants

Articles (19)

SD4ADDR: Enhancing Vehicular Connectivity With SDN Through Address Translation

Edge-Cloud Continuum Orchestration of Critical Services: A Smart-City Approach

Exploring the dynamic symbiosis of urban mobility and 5G networks

Maneuver Coordination Service with Reliability and Relevance Enhancements

Monitoring 5G Backhaul: An In-Band Telemetry Approach for Quality of Service

Multipath TCP With Single Radio Access Technologies: a Paradox or an Opportunity?

Time-Sensitive Smart Cities: Addressing Smart City Challenges With TSN

A machine learning approach to forecast 5G metrics in a commercial and operational 5G platform: 5G and mobility

Optimal channel selection for tri-band Wi-Fi in a residential scenario

Focalize K-NN: an imputation algorithm for time series datasets

Improving mmWave backhaul reliability: A machine-learning based approach

Embedded Federated Learning for VANET Environments

Content distribution in a VANET using InterPlanetary file system

A Sensing, Communication and Computing Approach for Vulnerable Road Users Safety

Millimeter-Wave Feasibility in 5G Backhaul: A Cross-Layer Analysis of Blockage Impact

A multi-layer probing approach for video over 5G in vehicular scenarios

MobiWise: Eco-routing decision support leveraging the Internet of Things

Mobility Sensing and V2X Communication for Emergency Services

Context-based caching in mobile information-centric networks

Collaborators (9)

Andreia Figueiredo

Ana Aguiar

José Luis Esteves dos Santos

Filipe Araujo

Pedro Rito

Margarida Coelho

Miguel Luís

Ana Almeida

Susana Brás

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