CV

📃 You can also find my complete CV here.

Education

• Postdoctoral Researcher in Computer Science - Gran Sasso Science Institute (Italy) - 2024-ongoing
• PhD Candidate in Computer Science and Mathematics - University of Camerino (Italy) - 2020-2024
• Master Degree in Computer Science (LM-18) - University of Camerino (Italy) - 2018-2020
• Bachelor Degree in Computer Science (L-31) - University of Camerino (Italy) - 2015-2018

Visiting Periods

• Visiting PhD student in the Process Analytics group - Eindhoven University of Technology (The Netherlands) - 2023
• Erasmus+ Project in New Technologies in Computer Science - Universidad de Murcia (Spain) - 2019

Courses and Schools

• Robotics and STEM in Schools - 2022
• 1^st Summer School on Process Mining - 2022
• 2^nd Summer School on CPS and IoT - 2021
• Teacher training (FOR24) - University of Camerino (Italy) - 2019

Research Groups

• Member of the Exosoul group and of the Software Engineering pillar at the Gran Sasso Science Institute (Italy) - 2024-ongoing
• Member of the Process and Service Lab (PROS Lab) at University of Camerino (Italy) - 2020-24

Research Projects

• Member of the founded national project HALO “etHical-aware AdjustabLe autOnomous systems”. MIUR - PRIN 2022
• Member of the founded national project SEDUCE “Designing Spatially Distributed Cyber-Physical Systems under Uncertainty”. MIUR - PRIN 2017

Publications

Revealing One-to-Many Event Relationships in Event Knowledge Graphs

A. Giacché, S. Pettinari, and L. Rossi. Revealing One-to-Many Event Relationships in Event Knowledge Graphs. Process Mining Workshops: toappear, 2024

A BPMN-Based Approach for IoT Systems Engineering

F. Corradini, F. Fornari, S. Pettinari, B. Re, L. Rossi, and F. Tiezzi. A BPMN-Based Approach for IoT Systems Engineering. Fluidware. Internet of Things: 85-105, 2024

A technique for discovering BPMN collaboration diagrams

F. Corradini, S. Pettinari, B. Re, L. Rossi, F. Tiezzi. A technique for discovering BPMN collaboration diagrams. Software and Systems Modeling, 23(6), 1323–1343 (2024)

A Methodology for the Analysis of Robotic Systems via Process Mining

F. Corradini, S. Pettinari, B. Re, L. Rossi, and F. Tiezzi. A Methodology for the Analysis of Robotic Systems via Process Mining. Enterprise Design, Operations, and Computing: 117-133, 2023

Enhancing compatibility in QoS communication for the Internet of Robotic Things

F. Corradini, S. Pettinari, B. Re, L. Ruschioni, F. Tiezzi. Enhancing Compatibility in QoS Communication for the Internet of Robotic Things. ER Forum/Posters/Demos, vol. 3618, CEUR-WS.org, 2023.

Executable Digital Process Twins: Towards the Enhancement of Process-Driven Systems

F. Corradini, S. Pettinari, B. Re, L. Rossi, F. Tiezzi. Executable Digital Process Twins: Towards the Enhancement of Process-Driven Systems. Big Data and Cognitive Computing, 7(3), 139. (2023)

A BPMN-driven framework for Multi-Robot System development

F. Corradini, S. Pettinari, B. Re, L. Rossi, F. Tiezzi. A BPMN-driven framework for Multi-Robot System development. Robotics and Autonomous Systems, 160,104322. (2023)

An Approach to Support Digital Process Twin

F. Corradini, S. Pettinari, B. Re, L. Rossi, and F. Tiezzi. An Approach to Support Digital Process Twin. In: DASC/PiCom/CBDCom/CyberSciTech, 1-4, 2022

Disciplined use of BPMN for mission modeling of Multi-Robot Systems

K. Bourr, F. Corradini, S. Pettinari, B. Re, L. Rossi, and F. Tiezzi. Disciplined use of BPMN for mission modeling of Multi-Robot Systems. In: Proceedings of the Forum at International Conference on the Practice of Enterprise Modeling, vol. 3045, 1-10, CEUR-WS.org, 2021