Querying and Annotating Model Histories with Time-Aware Patterns. - Antonio García-Domínguez; Nelly Bencomo; Juan Marcelo Parra Ullauri; Luis Hernán García Paucar (MoDELS, 2019)

Towards History-Aware Self-Adaptation with Explanation Capabilities. - Antonio García-Domínguez; Nelly Bencomo; Juan Marcelo Parra Ullauri; Luis Hernán García Paucar (FAS*W@SASO/ICAC, 2019)

Temporal Models for History-Aware Explainability. - Juan Marcelo Parra Ullauri; Antonio García-Domínguez; Luis Hernán García Paucar; Nelly Bencomo (SAM, 2020)

From a Series of (Un)fortunate Events to Global Explainability of Runtime Model-Based Self-Adaptive Systems. - Juan Marcelo Parra Ullauri; Antonio García-Domínguez; Nelly Bencomo (MoDELS (Companion), 2021)

Towards an architecture integrating complex event processing and temporal graphs for service monitoring. - Juan Marcelo Parra Ullauri; Antonio García-Domínguez; Juan Boubeta-Puig; Nelly Bencomo; Guadalupe Ortiz 001 (SAC, 2021)

Reward-Reinforced Reinforcement Learning for Multi-agent Systems. - Changgang Zheng; Shufan Yang; Juan Marcelo Parra Ullauri; Antonio García-Domínguez; Nelly Bencomo (CoRR, 2021)

History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems. - Juan Marcelo Parra Ullauri; Antonio García-Domínguez; Nelly Bencomo; Luis Hernán García Paucar (MoDELS (Companion), 2022)

Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning. - Juan Marcelo Parra Ullauri; Antonio García-Domínguez; Nelly Bencomo; Changgang Zheng; Chen Zhen; Juan Boubeta-Puig; Guadalupe Ortiz 001; Shufan Yang (Softw. Syst. Model., 2022)

Reward-Reinforced Generative Adversarial Networks for Multi-Agent Systems. - Changgang Zheng; Shufan Yang; Juan Marcelo Parra Ullauri; Antonio García-Domínguez; Nelly Bencomo (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Privacy Preservation in Kubernetes-based Federated Learning: A Networking Approach. - Juan Marcelo Parra Ullauri; Luis F. Gonzalez; Anderson Bravalheri; Rasheed Hussain; Xenofon Vasilakos; Iván Vidal; Francisco Valera; Reza Nejabati; Dimitra Simeonidou (INFOCOM Workshops, 2023)

Federated Hyperparameter Optimisation with Flower and Optuna. - Juan Marcelo Parra Ullauri; Xunzheng Zhang; Anderson Bravalheri; Reza Nejabati; Dimitra Simeonidou (SAC, 2023)

A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning. - Juan Marcelo Parra Ullauri; Chen Zhen; Antonio García-Domínguez; Nelly Bencomo; Changgang Zheng; Juan Boubeta-Puig; Guadalupe Ortiz 001; Shufan Yang (CoRR, 2023)

A Scalable and Distributed Hierarchical Architecture for Network Monitoring-on-Demand. - Hari Madhukumar; Thomas A. Bower; Xenofon Vasilakos; Juan Marcelo Parra Ullauri; Maria Lema; Dimitra Simeonidou (6GNet, 2024)

Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems. - Juan Marcelo Parra Ullauri; Oscar Dilley; Hari Madhukumar; Dimitra Simeonidou (6GNet, 2024)

Federated Transfer Component Analysis Towards Effective VNF Profiling. - Xunzheng Zhang; Shadi Moazzeni; Juan Marcelo Parra Ullauri; Reza Nejabati; Dimitra Simeonidou (GLOBECOM, 2024)

AI Model Placement for 6G Networks Under Epistemic Uncertainty Estimation. - Liming Huang; Yulei Wu; Juan Marcelo Parra Ullauri; Reza Nejabati; Dimitra Simeonidou (ICC, 2024)

GAN-Based Privacy Abuse Attack on Federated Learning in IoT Networks. - Runzhe Hao; Rasheed Hussain; Juan Marcelo Parra Ullauri; Xenofon Vasilakos; Reza Nejabati; Dimitra Simeonidou (INFOCOM (Workshops), 2024)

Joint Network and Computing Resource Optimisation in Distributed Quantum Computing. - Sima Bahrani; Rui Wang 053; Juan Marcelo Parra Ullauri; Romerson Deiny Oliveira; Reza Nejabati; Dimitra Simeonidou (OFC, 2024)

AI-Native Multi-Access Future Networks - The REASON Architecture. - Konstantinos Katsaros; Ioannis Mavromatis; Kostantinos Antonakoglou; Saptarshi Ghosh; Dritan Kaleshi; Toktam Mahmoodi; Hamid Asgari; Anastasios Karousos; Iman Tavakkolnia; Hossein Safi; Harald Haas; Constantinos Vrontos; et al. (IEEE Access, 2024)

Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review. - Wilson Valdez Solis; Juan Marcelo Parra Ullauri; Attila Kertész (IEEE Access, 2024)

Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities. - Juan Marcelo Parra Ullauri; Xunzheng Zhang; Anderson Bravalheri; Yulei Wu; Reza Nejabati; Dimitra Simeonidou (CoRR, 2024)

Federated Fairness Analytics: Quantifying Fairness in Federated Learning. - Oscar Dilley; Juan Marcelo Parra Ullauri; Rasheed Hussain; Dimitra Simeonidou (CoRR, 2024)

AI-Native Multi-Access Future Networks - The REASON Architecture. - Konstantinos Katsaros; Ioannis Mavromatis; Konstantinos Antonakoglou; Saptarshi Ghosh; Dritan Kaleshi; Toktam Mahmoodi; Hamid Asgari; Anastasios Karousos; Iman Tavakkolnia; Hossein Safi; Harald Haas; Constantinos Vrontos; et al. (CoRR, 2024)

kubeFlower: A privacy-preserving framework for Kubernetes-based federated learning in cloud-edge environments. - Juan Marcelo Parra Ullauri; Hari Madhukumar; Adrian-Cristian Nicolaescu; Xunzheng Zhang; Anderson Bravalheri; Rasheed Hussain; Xenofon Vasilakos; Reza Nejabati; Dimitra Simeonidou (Future Gener. Comput. Syst., 2024)

Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities. - Juan Marcelo Parra Ullauri; Xunzheng Zhang; Anderson Bravalheri; Shadi Moazzeni; Yulei Wu; Reza Nejabati; Dimitra Simeonidou (IEEE Netw., 2024)

Service-Aware Maximum Likelihood-Based Network Slicing for Live Low-Latency Streaming. - Zhaozhou Wu; Anderson Bravalheri; Juan Marcelo Parra Ullauri; Yulei Wu; Dimitra Simeonidou (WCNC, 2025)

Lifecycle Management of Trustworthy AI Models in 6G Networks: the Reason Approach. - 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; et al. (IEEE Wirel. Commun., 2025)

NetMind+: Adaptive Baseband Function Placement With GCN Encoding and Incremental Maze-Solving DRL for Dynamic and Heterogeneous RANs. - Haiyuan Li; Peizheng Li; Karcius Day Rosario Assis; Juan Marcelo Parra Ullauri; Adnan Aijaz; Shuangyi Yan; Dimitra Simeonidou (IEEE Trans. Netw. Serv. Manag., 2025)