Internet of Things Smart Farming Architecture for Agricultural Automation. - Adrián Sánchez-Mompó; Heloise Barbier; Won-Jae Yi; Jafar Saniie (EIT, 2021)

Container Escape Detection for Edge Devices. - James Pope; Francesco Raimondo; Vijay Kumar; Ryan McConville; Robert J. Piechocki; George Oikonomou; Thomas Pasquier; Bo Luo; Dan Howarth; Ioannis Mavromatis; Pietro Edoardo Carnelli; Adrián Sánchez-Mompó; et al. (SenSys, 2021)

Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection. - James Pope; Jinyuan Liang; Vijay Kumar; Francesco Raimondo; Xinyi Sun; Ryan McConville; Thomas Pasquier; Robert J. Piechocki; George Oikonomou; Bo Luo; Dan Howarth; Ioannis Mavromatis; et al. (CoRR, 2022)

LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. - Ioannis Mavromatis; Adrián Sánchez-Mompó; Francesco Raimondo; James Pope; Marcello Bullo; Ingram Weeks; Vijay Kumar; Pietro Edoardo Carnelli; George Oikonomou; Theodoros Spyridopoulos; Aftab Khan 001 (CCNC, 2023)

Open RAN for 5G Supply Chain Diversification: The BEACON-5G Approach and Key Achievements. - Adnan Aijaz; Sajida Gufran; Tim Farnham; Sita Chintalapati; Adrián Sánchez-Mompó; Peizheng Li (CSCN, 2023)

Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study. - Hamdi Friji; Ioannis Mavromatis; Adrián Sánchez-Mompó; Pietro Carnelli; Alexis Olivereau; Aftab Khan 001 (TrustCom, 2023)

Large Generative AI Models meet Open Networks for 6G: Integration, Platform, and Monetization. - Peizheng Li; Adrián Sánchez-Mompó; Tim Farnham; Aftab Khan 001; Adnan Aijaz (CoRR, 2024)

Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations. - Adrián Sánchez-Mompó; Ioannis Mavromatis; Peizheng Li; Konstantinos Katsaros; Aftab Khan 001 (CoRR, 2025)