Juan Marcelo Parra Ullauri

34 papers A 1B 2Misc 2Journal 17Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
A Technical Framework For Formally Verifying AI Models Supporting 6G Network Functions.
INFOCOM WKSHPS
M. M. Hassan Mahmud, Renjith Baby, Shadi Moazzeni, Juan Marcelo Parra Ullauri, Xueqing Zhou, Yulei Wu, Konstantinos Katsaros, Ioannis Mavromatis, Shah Zeb, Rasheed Hussain, Dimitra Simeonidou
2025 — conf
DRL for Network Slicing: Resource Efficiency Optimisation under Reconfiguration Avoidance.
INFOCOM WKSHPS
Zhaozhou Wu, Anderson Bravalheri, Juan Marcelo Parra Ullauri, Adrian-Cristian Nicolaescu, Yulei Wu, Dimitra Simeonidou
2025 J jnl
Federated Intelligent Service Function Chain Orchestration in Future 6G Networks.
IEEE Trans. Netw. Serv. Manag.
Shadi Moazzeni, Zijie Huang, Shah Zeb, Xunzheng Zhang, Juan Marcelo Parra Ullauri, Anderson Bravalheri, Rasheed Hussain, Yulei Wu, Xenofon Vasilakos, Dimitra Simeonidou
2025 J jnl
Lifecycle Management of Trustworthy AI Models in 6G Networks: The REASON Approach.
CoRR
Juan Marcelo Parra Ullauri, Xueqing Zhou, Shadi Moazzeni, Rasheed Hussain, Xenofon Vasilakos, Yulei Wu, Renjith Baby, M. M. Hassan Mahmud, Gabriele Incorvaia, Darryl Hond, Hamid Asgari, Andrea Tassi, Daniel Warren, Dimitra Simeonidou
2025 J jnl
Lifecycle Management of Trustworthy AI Models in 6G Networks: the Reason Approach.
IEEE Wirel. Commun.
Juan Marcelo Parra Ullauri, Xueqing Zhou, Shadi Moazzeni, Rasheed Hussain, Xenofon Vasilakos, Yulei Wu, Renjith Baby, M. M. Hassan Mahmud, Gabriele Incorvaia, Darryl Hond, Hamid Asgari, Andrea Tassi, Daniel Warren, Dimitra Simeonidou
2025 J jnl
NetMind+: Adaptive Baseband Function Placement With GCN Encoding and Incremental Maze-Solving DRL for Dynamic and Heterogeneous RANs.
IEEE Trans. Netw. Serv. Manag.
Haiyuan Li, Peizheng Li, Karcius Day Rosario Assis, Juan Marcelo Parra Ullauri, Adnan Aijaz, Shuangyi Yan, Dimitra Simeonidou
2025 B conf
Service-Aware Maximum Likelihood-Based Network Slicing for Live Low-Latency Streaming.
WCNC
Zhaozhou Wu, Anderson Bravalheri, Juan Marcelo Parra Ullauri, Yulei Wu, Dimitra Simeonidou
2024 — conf
A Scalable and Distributed Hierarchical Architecture for Network Monitoring-on-Demand.
6GNet
Hari Madhukumar, Thomas A. Bower, Xenofon Vasilakos, Juan Marcelo Parra Ullauri, Maria Lema, Dimitra Simeonidou
2024 — conf
AI Model Placement for 6G Networks Under Epistemic Uncertainty Estimation.
ICC
Liming Huang, Yulei Wu, Juan Marcelo Parra Ullauri, Reza Nejabati, Dimitra Simeonidou
2024 J jnl
AI Model Placement for 6G Networks under Epistemic Uncertainty Estimation.
CoRR
Liming Huang, Yulei Wu, Juan Marcelo Parra Ullauri, Reza Nejabati, Dimitra Simeonidou
2024 J jnl
AI-Native Multi-Access Future Networks - The REASON Architecture.
IEEE Access
Konstantinos Katsaros, Ioannis Mavromatis, Kostantinos Antonakoglou, Saptarshi Ghosh, Dritan Kaleshi, Toktam Mahmoodi, Hamid Asgari, Anastasios Karousos, Iman Tavakkolnia, Hossein Safi, Harald Haas, Constantinos Vrontos, Amin Emami, Juan Marcelo Parra Ullauri, Shadi Moazzeni, Dimitra Simeonidou
2024 J jnl
AI-Native Multi-Access Future Networks - The REASON Architecture.
CoRR
Konstantinos Katsaros, Ioannis Mavromatis, Konstantinos Antonakoglou, Saptarshi Ghosh, Dritan Kaleshi, Toktam Mahmoodi, Hamid Asgari, Anastasios Karousos, Iman Tavakkolnia, Hossein Safi, Harald Haas, Constantinos Vrontos, Amin Emami, Juan Marcelo Parra Ullauri, Shadi Moazzeni, Dimitra Simeonidou
2024 J jnl
Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review.
IEEE Access
Wilson Valdez Solis, Juan Marcelo Parra Ullauri, Attila Kertész
2024 J jnl
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities.
CoRR
Juan Marcelo Parra Ullauri, Xunzheng Zhang, Anderson Bravalheri, Yulei Wu, Reza Nejabati, Dimitra Simeonidou
2024 J jnl
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities.
IEEE Netw.
Juan Marcelo Parra Ullauri, Xunzheng Zhang, Anderson Bravalheri, Shadi Moazzeni, Yulei Wu, Reza Nejabati, Dimitra Simeonidou
2024 J jnl
Federated Fairness Analytics: Quantifying Fairness in Federated Learning.
CoRR
Oscar Dilley, Juan Marcelo Parra Ullauri, Rasheed Hussain, Dimitra Simeonidou
2024 B conf
Federated Transfer Component Analysis Towards Effective VNF Profiling.
GLOBECOM
Xunzheng Zhang, Shadi Moazzeni, Juan Marcelo Parra Ullauri, Reza Nejabati, Dimitra Simeonidou
2024 — conf
GAN-Based Privacy Abuse Attack on Federated Learning in IoT Networks.
INFOCOM (Workshops)
Runzhe Hao, Rasheed Hussain, Juan Marcelo Parra Ullauri, Xenofon Vasilakos, Reza Nejabati, Dimitra Simeonidou
2024 — conf
Joint Network and Computing Resource Optimisation in Distributed Quantum Computing.
OFC
Sima Bahrani, Rui Wang, Juan Marcelo Parra Ullauri, Romerson Deiny Oliveira, Reza Nejabati, Dimitra Simeonidou
2024 — conf
Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems.
6GNet
Juan Marcelo Parra Ullauri, Oscar Dilley, Hari Madhukumar, Dimitra Simeonidou
2024 J jnl
Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems.
CoRR
Juan Marcelo Parra Ullauri, Oscar Dilley, Hari Madhukumar, Dimitra Simeonidou
2024 J jnl
kubeFlower: A privacy-preserving framework for Kubernetes-based federated learning in cloud-edge environments.
Future Gener. Comput. Syst.
Juan Marcelo Parra Ullauri, Hari Madhukumar, Adrian-Cristian Nicolaescu, Xunzheng Zhang, Anderson Bravalheri, Rasheed Hussain, Xenofon Vasilakos, Reza Nejabati, Dimitra Simeonidou
2023 J jnl
A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning.
CoRR
Juan Marcelo Parra Ullauri, Chen Zhen, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang
2023 Misc conf
Federated Hyperparameter Optimisation with Flower and Optuna.
SAC
Juan Marcelo Parra Ullauri, Xunzheng Zhang, Anderson Bravalheri, Reza Nejabati, Dimitra Simeonidou
2023 — conf
Privacy Preservation in Kubernetes-based Federated Learning: A Networking Approach.
INFOCOM Workshops
Juan Marcelo Parra Ullauri, Luis F. Gonzalez, Anderson Bravalheri, Rasheed Hussain, Xenofon Vasilakos, Iván Vidal, Francisco Valera, Reza Nejabati, Dimitra Simeonidou
2022 J jnl
Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning.
Softw. Syst. Model.
Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Chen Zhen, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang
2022 — conf
History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems.
MoDELS (Companion)
Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo, Luis Hernán García Paucar
2022 J jnl
Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems.
IEEE Trans. Emerg. Top. Comput. Intell.
Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo
2021 — conf
From a Series of (Un)fortunate Events to Global Explainability of Runtime Model-Based Self-Adaptive Systems.
MoDELS (Companion)
Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo
2021 J jnl
Reward-Reinforced Reinforcement Learning for Multi-agent Systems.
CoRR
Changgang Zheng, Shufan Yang, Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Nelly Bencomo
2021 Misc conf
Towards an architecture integrating complex event processing and temporal graphs for service monitoring.
SAC
Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Juan Boubeta-Puig, Nelly Bencomo, Guadalupe Ortiz
2020 — conf
Temporal Models for History-Aware Explainability.
SAM
Juan Marcelo Parra Ullauri, Antonio García-Domínguez, Luis Hernán García Paucar, Nelly Bencomo
2019 A conf
Querying and Annotating Model Histories with Time-Aware Patterns.
MoDELS
Antonio García-Domínguez, Nelly Bencomo, Juan Marcelo Parra Ullauri, Luis Hernán García Paucar
2019 — conf
Towards History-Aware Self-Adaptation with Explanation Capabilities.
FAS*W@SASO/ICAC
Antonio García-Domínguez, Nelly Bencomo, Juan Marcelo Parra Ullauri, Luis Hernán García Paucar