Team

Carmen Delgado Pinillos

Senior Researcher

Contact carmen.delgado@i2cat.net
Carmen Delgado Pinillos
Carmen Delgado, màster en telecos (2013) i eng. biomèdica (2014), i doctora en TIC xarxes mòbils (2018), Universitat de Saragossa. Investigà al Politecnico di Milano; post-doc Univ. Anvers i investigadora sènior imec (2018-2020). Actualment, és investigadora sènior a Fundació i2CAT (des del 2021). La seva recerca: xarxes sensors sense fil, IoT, assignació recursos, sensors sense bateria, AIoT i IA.

Publications

Optimal energy-aware task scheduling for batteryless IoT devices

C. Delgado and J. Famaey, "Optimal energy-aware task scheduling for batteryless IoT devices," in IEEE Transactions on Emerging Topics in Computing, doi: 10.1109/TETC.2021.3086144.

OROS: Online Operation and Orchestration of Collaborative Robots using 5G

A. Romero, C. Delgado, L. Zanzi, X. Li and X. Costa-Pérez, "OROS: Online Operation and Orchestration of Collaborative Robots using 5G," in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2023.3281976.

Graph Neural Networks as an Enabler of Terahertz-based Flow-guided Nanoscale Localization over Highly Erroneous Raw Data

Bartra, G.C., Lemic, F., Pascual, G., Rodas, A.P., Struye, J., Delgado, C. and Pérez, X.C., 2024. Graph Neural Networks as an Enabler of Terahertz-based Flow-guided Nanoscale Localization over Highly Erroneous Raw Data. IEEE Journal on Selected Areas in Communications. IEEE early access: https://ieeexplore.ieee.org/document/10528284. arXiv open access: https://arxiv.org/abs/2307.05551.

REACT: Multi Robot Energy-Aware Orchestrator for Indoor Search and Rescue Critical Tasks
Cellular-enabled Collaborative Robots Planning and Operations for Search-and-Rescue Scenarios