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Robotic Process Automation and Mining

Andrea Marrella
Data dell'evento: 
Friday, 15 October, 2021 - 11:00
DIAG, aula magna, via Ariosto 25
Massimo Mecella

Andrea Marrella, nell'ambito della procedura di valutazione di  Ricercatore a Tempo Determinato tipologia B, ai fini della chiamata nel ruolo di Professore di II fascia presso il Dipartimento di Ingegneria Informatica Automatica e Gestionale Antonio Ruberti, ai sensi dell’art. 24, comma 5, legge 240/2010, SSD ING-INF/05 – SC 09/H1 terrà un seminario sull'attività di ricerca svolte e in corso di svolgimento.

Il seminario avrà luogo venerdì 15 ottobre 2021 alle ore 11:00 in Aula Magna al DIAG ed in modalità telematica.
Per partecipare connettersi all’indirizzohttps://uniroma1.zoom.us/j/83646520912?pwd=TjJBUHdxRUh4NkxjUHJpcmxhaDM3UT09

Title: Robotic Process Automation and Mining


After an overview of his past and recent research activities, Andrea will focus on a recent line of research devoted to the design, formalization and realization of novel solutions for Robotic Process Automation (RPA). RPA tools access the user interface (UI) layer of software (SW) applications and provide a virtual workforce of SW robots that are able to mimic human keyboard and mouse interactions with a UI as if a real person was doing them. However, the current generation of RPA tools is driven by predefined rules and manual configurations made by expert users rather than by intelligent solutions, making the current practice time-consuming and error-prone. To mitigate this issue, Andrea will show how a targeted use of Process Mining techniques enable us to: (i) discover repetitive routines amenable for automation directly for the UI logs recording interactions between workers and computer systems, and (ii) generate executable RPA scripts from UI logs in form of SW robots, thus neglecting the manual specification stage of the routines' behaviour.
Short Bio:
Andrea Marrella is an assistant professor at the Department of Computer, Control and Management Engineering of the Sapienza University of Rome, Italy. He received a PhD in Computer Science and Engineering in 2013. His main research interests focus on how to integrate artificial intelligence with business process management solutions to untangle complex challenges from the fields of process mining and robotic process automation. In 2021, he started a research program targeted to the realization of automated solutions to tackle the Big Data Pipeline discovery issue in the context of the recently funded H2020 project DataCloud. Information director of ACM Journal of Data and Information Quality and PC Chair of the Robotic Process Automation Track at the 20th International Conference on Business Process Management (BPM 2022), Andrea has co-authored many publications in major outlets in the computer science and information systems areas, including the paper: "Multi-party Business Process Resilience By-Design: A Data-centric Perspective", which received the Best Paper Award at the 29th International Conference on Advanced Information Systems Engineering (CAiSE 2017).


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