| 2025 | FedCSIS | Anomaly Detection for Unmanned Surface Vehicles Based on a Multi-Modal Bayesian Generative Model. | Micheale Tekulu, Ali Krayani, Pamela Zontone, Lucio Marcenaro, Francesco Caprile, Antonino Masaracchia, Carlo S. Regazzoni |
| 2025 | ICASSP | Explainable Reinforcement Learning for Trajectory Design in UAV-assisted Wireless Networks. | Ali Krayani, Khalid Khan, Lucio Marcenaro, Carlo S. Regazzoni |
| 2024 | FUSION | Learning 3D LiDAR Perception Models for Self-Aware Autonomous Systems. | Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martn Gmez, Carlo S. Regazzoni |
| 2024 | ICASSP | Self-Supervised Path Planning in UAV-Aided Wireless Networks Based on Active Inference. | Ali Krayani, Khalid Khan, Lucio Marcenaro, Mario Marchese, Carlo S. Regazzoni |
| 2024 | WCNC | Interactive Bayesian Generative Models for Abnormality Detection in Vehicular Networks. | Nobel J. William, Ali Krayani, Lucio Marcenaro, Carlo S. Regazzoni |
| 2023 | ICASSP | Adapting Exploratory Behaviour in Active Inference for Autonomous Driving. | Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martn, Carlo S. Regazzoni |
| 2023 | WCNC | Integrated Sensing and Communication for Joint GPS Spoofing and Jamming Detection in Vehicular V2X Networks. | Ali Krayani, Gabriele Barabino, Lucio Marcenaro, Carlo S. Regazzoni |
| 2020 | GLOBECOM | Self-Learning Bayesian Generative Models for Jammer Detection in Cognitive-UAV-Radios. | Ali Krayani, Mohamad Baydoun, Lucio Marcenaro, Atm Shafiul Alam, Carlo S. Regazzoni |
| 2020 | PIMRC | Smart Jammer Detection for Self-Aware Cognitive UAV Radios. | Ali Krayani, Mohamad Baydoun, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni |
| 2020 | PIMRC | Deep Learning for Spectrum Anomaly Detection in Cognitive mmWave Radios. | Andrea Toma, Ali Krayani, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni |