Team

Carmen Delgado Pinillos

Senior Researcher

Contact carmen.delgado@i2cat.net
Carmen Delgado Pinillos
Carmen Delgado received M.Sc. degrees in Telecommunications Engineering (2013) and Biomedical Engineering (2014) from the University of Zaragoza, Spain, where she also obtained her Ph.D. (2018) in mobile network ICT with the CeNITEQ group. In 2016, she was a visiting researcher at ANT Lab, Politecnico di Milano. She served as a Post-doctoral Researcher at the Internet Technology and Data Science Lab (IDLab), University of Antwerp, and as a Senior Researcher at imec (2018–2020). Since 2021, she has been a Senior Researcher at the i2CAT Foundation. Her core research interests span Wireless Sensor Networks, IoT, resource allocation, battery-less sensors, AIoT, Collaborative Connected Robots, and Integrated Sensing and Communications (ISAC).

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