Anna Livia Croella, PhD
Department of Computer, Control, and Management Engineering Antonio Ruberti (DIAG), Sapienza Università di Roma
Via Ariosto n°25, 00185 Rome, Italy
room A102
Phone: 06-77274099
E-mail: annalivia.croella@uniroma1.it
Reception Monday 11-12 by appointment
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.
Research Interests
Combinatorial Optimization
Mixed Integer Programming
Train Dispatching
Job Shop Scheduling
Waste Management
Fair Clustering
Last 5 Research Products
Optimal Network Design for Municipal Waste Management: Application to the Metropolitan City of Rome
Logistics 2024, 8, 79
M. boresta, A.L. Croella, C. Gentiel, L. Palagi, D.M .Pinto, G. Stecca and P. Ventura.MaxSAT approach for solving a new Dynamic Discretization Discovery model for train rescheduling problems
Computers & Operations Research, ISSN: 0305-0548, doi: 10.1016/j.cor.2024.106679, Apr 2024,
Honorable Mention Award at 2022 RAS Student Paper Competition of INFORMS Railway Applications Section, Oct 2022
A.L. Croella, B. Luteberget, C. Mannino e P. VenturaDisruption management in railway systems by safe place assignment
Transportation Science ISSN: 0041-1655, doi: 10.1287/trsc.2021.1107, Jan 2022
A.L. Croella, V. Dal Sasso, L. Lamorgese, C. Mannino, and P. VenturaMulti-criteria optimization scheduling of surgical units: a case study at AOU-Policlinico Umberto I
Technical Report DIAG Sapienza University of Rome, Jan 2022
A.L. Croella, E.M. Tronci, F. Petitti, A. Nastasi, L. Palagi, and F. Romano
