Anna Livia Croella
Anna Livia Croella is an Assistant Professor at La Sapienza University of Rome, where she earned her PhD in Operations Research (MAT-09) in May 2022 and graduated in Management Engineering in October 2017. She belongs to the Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG, formerly Department of Computer and Systems Engineering) at the Faculty of Information Engineering, Informatics and Statistics.
In April 2018 she received a post degree recognition prize as one of the 400 outstanding students of Sapienza University of Rome.
In August 2022 she was one of the four finalist of AIROYoung Best Thesis 2022 at the International Conference on Optimization and Decision Science (ODS2022).
In October 2022 she received an Honorable Mention Award at 2022 RAS Student Paper Competition of INFORMS Railway Applications Section.
- Ottimizzazione Combinatoria
- Programmazione Mista Intera
- Train Dispatching
- Waste Management
- Clustering
- Nell'aprile 2018 è stata inclusa tra i migliori 400 studenti dell'Università degli Studi di Roma La Sapienza.
- è stata una delle 4 finalistə del premio dell'Associazione Italiana Ricerca Operativa (AIRO) Best AIRO Thesis, per la sua tesi di dottorato dal titolo "Real-time Train Scheduling: reactive and proactive algorithms for safe and reliable railway networks".
- Ha ricevuto una Honorable Mention nella RAS Student Paper Competition dell'INFORMS Annual Meeting 2022 per il lavoro "A MaxSAT approach for solving a new Dynamic Discretization Discovery model for train rescheduling problems".
Membro di
Awards
Ultime pubblicazioni
| A MaxSAT approach for solving a new Dynamic Discretization Discovery model for train rescheduling problems in COMPUTERS & OPERATIONS RESEARCH | 2024 |
| Real-time Train Scheduling: reactive and proactive algorithms for safe and reliable railway networks in | 2022-05-20 |
| Disruption Management in Railway Systems by Safe Place Assignment in TRANSPORTATION SCIENCE | 2022 |
| Multi-criteria optimization scheduling of surgical units: a case study at AOU-Policlinico Umberto I in | 2022 |