Senior Researcher
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.
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.
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.
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.
Maresca, F., Romero, A., Delgado, C., Sciancalepore, V., Paradells, J., & Costa-Pérez, X. (2025). REACT: Multi Robot Energy-Aware Orchestrator for Indoor Search and Rescue Critical Tasks. arXiv preprint arXiv:2503.05904.
Romero, A., Delgado, C., Zanzi, L., Suárez, R., & Costa-Pérez, X. (2024, May). Cellular-enabled collaborative robots planning and operations for search-and-rescue scenarios. In 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 5942-5948). IEEE.
