| 2025 | SoMeT | Energy-Efficient Scheduling with Variable Speed a Deep Reinforcement Learning Approach. | Maria De Martino, Andrea Grassi, Maria Grazia Marchesano, Emma Salatiello, Silvestro Vespoli |
| 2025 | SoMeT | AI-Driven Detection of Supply Chain Misreporting Using Engineered Cross-Stage Features and Isolation Forest. | Francesca Papa, Andrea Grassi, Valentina Popolo, Silvestro Vespoli |
| 2024 | SoMeT | Adaptive WIP Control in Industry 4.0 Manufacturing via Deep Reinforcement Learning: A Case Study in Hybrid Control Architectures. | Silvestro Vespoli, Giulio Mattera, Guido Guizzi, Liberatina Carmela Santillo, Luigi Nele |
| 2023 | SoMeT | Integrated Approach for Maintenance Planning and Scheduling in a Flow Shop Using Deep Reinforcement Learning. | Maria Grazia Marchesano, Eleonora Tortora, Guido Guizzi, Silvestro Vespoli, Liberatina Carmela Santillo |
| 2022 | SoMeT | A Deep Learning Approach for the Performance Estimation of a Stochastic CONWIP Flow-Shop System. | Silvestro Vespoli, Emma Salatiello, Andrea Grassi, Guido Guizzi, Liberatina Carmela Santillo |
| 2021 | SoMeT | A Performance-Based Dispatching Rule for Decentralised Manufacturing Planning and Production Control System. | Maria Grazia Marchesano, Silvestro Vespoli, Guido Guizzi, Valentina Popolo, Andrea Grassi |
| 2020 | WSC | Simulation-Based Performance Assessment of a New Job-Shop Dispatching Rule for the Semi-Heterarchical Industry 4.0 Architecture. | Guido Guizzi, Silvestro Vespoli, Andrea Grassi, Liberatina Carmela Santillo |