First Stage Researcher
Claudia Torres-Pérez, Investigadora Professional en Xarxes de Programari, tè un grau en Enginyeria de Telecomunicacò i Electrònica (2020). Va obtenir un doctorat en Enginyeria de Xarxes per la Universitat Politècnica de Catalunya (Espanya) el 2025. El seu treball en projectes europeus/espanyols se centra en la gestiò de serveis per a xarxes màs enllà del 5G, resultant en publicacions internacionals.
M. Masoumi, E. Carmona-Cejudo, I. de Miguel, C. Torres-Pérez, R.J. Durán Barroso, "Dynamic Joint Scheduling of Movement and Data Processing Tasks using Extreme-Edge Computing in Multi-AGV Scenarios," in IEEE Open Journal of the Industrial Electronics Society, in press.
C. Torres-Pérez, E. Carmona-Cejudo, C. Cervelló-Pastor, M. Masoumi, E. Coronado and M. S. Siddiqui, "Service Placement in Dynamic Multi-AGV Environments for Minimized Energy Consumption," in IEEE Robotics and Automation Letters, vol. 11, no. 1, pp. 714-721, Jan. 2026, doi: 10.1109/LRA.2025.3636026
@article{TORRESPEREZ2025111008, title = {Minimizing active nodes in MEC environments: A distributed learning-driven framework for application placement}, journal = {Computer Networks}, volume = {257}, pages = {111008}, year = {2025}, issn = {1389-1286}, doi = {https://doi.org/10.1016/j.comnet.2024.111008}, url = {https://www.sciencedirect.com/science/article/pii/S1389128624008405}, author = {Claudia Torres-Pérez and Estefanía Coronado and Cristina Cervelló-Pastor and Javier Palomares and Estela Carmona-Cejudo and Muhammad Shuaib Siddiqui}, keywords = {Application placement, Distributed deep reinforcement learning, MEC, Scalability}, }
