First Stage Researcher
Claudia Torres-Pérez is a Professional Researcher in the Software Network Area. She received the degree of Telecommunication and Electronic Engineer in 2020 from the Polytechnic University of Havana. She received a PhD in Network Engineering from the Polytechnic University of Catalonia (Spain) in 2025. She has worked on European and Spanish projects, where her research have been focused on techniques to address service management problems in beyond 5G Networks, leading to publications in international conferences and indexed journals.
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}, }
