| 2026 | Mobisys | Edge-Intelligence for Environmental Anomaly Detection: Transitioning from Traditional Deep Learning to Reservoir Computing. | Nima Ghaffarzadeh, Matteo Mendula, Marco Miozzo, Ral Parada, Paolo Dini |
| 2026 | Mobisys | Benchmarking 3D-CNN and CSNN Performance for Video Classification. | Diana Rune, Konstantin Nikolic, Ral Parada |
| 2025 | INFOCOM | Enhancing 5G O-RAN Communication Efficiency Through AI-Based Latency Forecasting. | Ral Parada, Ebrahim Abu-Helalah, Jordi Serra, Anton Aguilar, Paolo Dini |
| 2025 | VTC | 5G-Based Traffic Safety and Management Service for Cooperative Connected and Automated Mobility in Cross-Border Scenarios. | Arslane Hamza Cherif, Wael Jami, Chahrazed Ksouri, Anton Aguilar-Rivera, Ral Parada, Nil Vidal, David Porcuna, Francisco Vazquez Gallego, Jad Nasreddine |
| 2024 | DEXA | An Approach for Social-Distance Preserving Location-Aware Recommender Systems: A Use Case in a Hospital Environment. | Marcos Caballero, Mara del Carmen Rodrguez-Hernndez, Ral Parada, Sergio Ilarri, Raquel Trillo Lado, Ramn Hermoso, scar Jess Rubio Mart |
| 2022 | VTC | An Inter-operable and Multi-protocol V2X Collision Avoidance Service based on Edge Computing. | Ral Parada, Francisco Vzquez Gallego, Roshan Sedar, Ricard Vilalta |
| 2021 | GLOBECOM | Machine Learning-based Trajectory Prediction for VRU Collision Avoidance in V2X Environments. | Ral Parada, Anton Aguilar, Jesus Alonso-Zarate, Francisco Vzquez Gallego |
| 2019 | MDAI | Forecasting Water Levels of Catalan Reservoirs. | Ral Parada, Jordi Font, Jordi Casas-Roma |
| 2017 | GLOBECOM | Automatic Rate-Distortion Classification for the IoT: Towards Signal-Adaptive Network Protocols. | Davide Zordan, Ral Parada, Michele Rossi, Michele Zorzi |