FRANCESCA MENEGHELLO

PhD Student

PhD program:: XXXVIII
email: francesca.meneghello@uniroma1.it, fmeneghello@fbk.eu
building: Fondazione Bruno Kessler, Via Sommarive 18, Povo (TN)

supervisor: Chiara Ghidini

I am currently a 1st year PhD student at the Sapienza University of Rome with the National PhD in Artificial Intelligence and in collaboration with Fondazione Bruno Kessler in the Process And Data Intelligence (PDI) unit. I have received my master`s Degree in Computer Science from the University of Padova in September 2021. My master’s thesis was concerned with Business Process Simulation, a Process Mining field. After graduation, I worked for a year at the ESTECO company and collaborated with the University of Padua on research work. My current research interests lie in Process Mining’s field in particular on Business Process Simulation and Predictive Business Process Monitoring.

Research products

11573/1726818 - 2024 - Generating the Traces You Need: A Conditional Generative Model for Process Mining Data

Graziosi, Riccardo; Ronzani, Massimiliano; Buliga, Andrei; Di Francescomarino, Chiara; Folino, Francesco; Ghidini, Chiara; Meneghello, Francesca; Pontieri, Luigi - 04b Atto di convegno in volume

conference: 2024 6th International Conference on Process Mining (ICPM) (Copenhagen, Denmark)

book: 2024 6th International Conference on Process Mining (ICPM) - ()

11573/1726848 - 2024 - ICPM Doctoral Consortium and Demo Track 2023

Meneghello, Francesca; Di Francescomarino, Chiara; Ghidini, Chiara - 04b Atto di convegno in volume

conference: Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023) (Rome, Italy)

book: ICPM Doctoral Consortium and Demo Track 2023 - ()

11573/1726819 - 2024 - Runtime integration of machine learning and simulation for business processes: Time and decision mining predictions

Meneghello, Francesca; Francescomarino, Chiara Di; Ghidini, Chiara; Ronzani, Massimiliano - 01a Articolo in rivista

paper: INFORMATION SYSTEMS (Elsevier Science Limited:Oxford Fulfillment Center, PO Box 800, Kidlington Oxford OX5 1DX United Kingdom:011 44 1865 843000, 011 44 1865 843699, EMAIL: asianfo@elsevier.com, tcb@elsevier.co.UK, INTERNET: http://www.elsevier.com, http://www.elsevier.com/locate/shpsa/, Fax: 011 44 1865 843010) pp. - - issn: 0306-4379 - wos: (0) - scopus: 2-s2.0-85206254492 (0)

11573/1726813 - 2024 - Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning

Meneghello, Francesca; Middelhuis, Jeroen; Genga, Laura; Bukhsh, Zaharah; Ronzani, Massimiliano; Di Francescomarino, Chiara; Ghidini, Chiara; Dijkman, Remco - 04b Atto di convegno in volume

conference: Business Process Management - 22nd International Conference (Krakow, Poland)

book: Business Process Management - 22nd International Conference - (9783031703959; 9783031703966)

11573/1690420 - 2023 - Runtime integration of machine learning and simulation for business processes

Meneghello, Francesca; Di Francescomarino, Chiara; Ghidini, Chiara - 04b Atto di convegno in volume

conference: 2023 5th International Conference on Process Mining (ICPM) (Rome, Italy)

book: 2023 5th International Conference on Process Mining (ICPM) - (979-8-3503-5839-1)