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Senior Researcher
Group Involvement, NEC Laboratories Europe
6G Networks
Research Interests
- Mobile and Wireless Systems
- Machine Learning and Reinforcement Learning
Conferences
- Jose A. Ayala-Romero, Péter Mernyei, Bichen Shi, and Diego Mazón. "KRAF: A Flexible Advertising Framework using Knowledge Graph-Enriched Multi-Agent Reinforcement Learning." ACM CIKM 2022 - Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2022
- Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Pérez, and George Iosifidis. "EdgeBOL: Automating energy-savings for mobile edge AI." ACM CoNEXT 2021 - Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies. 2021.
- Jose A. Ayala-Romero, Ihtisham Khalid, Andres Garcia-Saavedra, Xavier Costa-Pérez, and George Iosifidis. "Experimental evaluation of power consumption in virtualized base stations." ICC 2021-IEEE International Conference on Communications. IEEE, 2021.
- Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Pérez, and George Iosifidis. "Bayesian online learning for energy-aware resource orchestration in virtualized rans." IEEE INFOCOM 2021-IEEE Conference on Computer Communications. IEEE, 2021.
- Apostolos Galanopoulos, Jose A. Ayala-Romero, Douglas J. Leith, and George Iosifidis. "AutoML for video analytics with edge computing." IEEE INFOCOM 2021-IEEE Conference on Computer Communications. IEEE, 2021.
- Apostolos Galanopoulos, Jose A. Ayala-Romero, Douglas J. Leith, and George Iosifidis. "Bayesian online learning for mec object recognition systems." GLOBECOM 2020-2020 IEEE Global Communications Conference. IEEE, 2020.
- Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Gramaglia, Xavier Costa-Perez, Albert Banchs, and Juan J. Alcaraz. "vrAIn: A deep learning approach tailoring computing and radio resources in virtualized RANs." ACM MOBICOM 2019 - The 25th Annual International Conference on Mobile Computing and Networking. 2019.
- Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Gramaglia, Xavier Costa-Perez, Albert Banchs, and Juan J. Alcaraz. "vrAIn Proof-of-Concept--A Deep Learning Approach for Virtualized RAN Resource Control." ACM MOBICOM 2019 - The 25th Annual International Conference on Mobile Computing and Networking. 2019.
Journals
- Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Pérez, and George Iosifidis. "Orchestrating Energy-Efficient vRANs: Bayesian Learning and Experimental Results." IEEE Transactions on Mobile Computing (2021).
- Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Gramaglia, Xavier Costa-Perez, Albert Banchs, and Juan J. Alcaraz. " vrAIn: Deep Learning based Orchestration for Computing and Radio Resources in vRANs." IEEE Transactions on Mobile Computing 21.7 (2020): 2652-2670.
- Fahri Wisnu Murti, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Pérez, and George Iosifidis. "An optimal deployment framework for multi-cloud virtualized radio access networks." IEEE Transactions on Wireless Communications 20.4 (2020): 2251-2265.
- Jose A. Ayala-Romero, Juan J. Alcaraz, Andrea Zanella, and Michele Zorzi. "Online learning for energy saving and interference coordination in hetnets." IEEE Journal on Selected Areas in Communications 37.6 (2019): 1374-1388.
Connections
- Scholar: https://scholar.google.com/citations?hl=en&user=UEiFR2sAAAAJ
- LinkedIn: https://www.linkedin.com/in/jose-a-ayala-romero-1a600658/