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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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UID:calendar.23880.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260405T115541Z
CREATED:20211010T123024Z
DESCRIPTION: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 Inf
 ormatica 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 s
 ull'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’indirizzo: https://uni
 roma1.zoom.us/j/83646520912?pwd=TjJBUHdxRUh4NkxjUHJpcmxhaDM3UT09 Title: Ro
 botic Process Automation and MiningAbstract:After an overview of his past 
 and recent research activities\, Andrea will focus on a recent line of res
 earch devoted to the design\, formalization and realization of novel solut
 ions for Robotic Process Automation (RPA). RPA tools access the user inter
 face (UI) layer of software (SW) applications and provide a virtual workfo
 rce of SW robots that are able to mimic human keyboard and mouse interacti
 ons with a UI as if a real person was doing them. However\, the current ge
 neration of RPA tools is driven by predefined rules and manual configurati
 ons 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 u
 s to: (i) discover repetitive routines amenable for automation directly fo
 r the UI logs recording interactions between workers and computer systems\
 , and (ii) generate executable RPA scripts from UI logs in form of SW robo
 ts\, thus neglecting the manual specification stage of the routines' behav
 iour. Short Bio:Andrea Marrella is an assistant professor at the Departmen
 t of Computer\, Control and Management Engineering of the Sapienza Univers
 ity 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 compl
 ex challenges from the fields of process mining and robotic process automa
 tion. 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 di
 rector of ACM Journal of Data and Information Quality and PC Chair of the 
 Robotic Process Automation Track at the 20th International Conference on B
 usiness Process Management (BPM 2022)\, Andrea has co-authored many public
 ations in major outlets in the computer science and information systems ar
 eas\, including the paper: 'Multi-party Business Process Resilience By-Des
 ign: A Data-centric Perspective'\, which received the Best Paper Award at 
 the 29th International Conference on Advanced Information Systems Engineer
 ing (CAiSE 2017). 
DTSTART;TZID=Europe/Paris:20211015T110000
DTEND;TZID=Europe/Paris:20211015T110000
LAST-MODIFIED:20211010T203624Z
LOCATION:DIAG\, aula magna\, via Ariosto 25
SUMMARY:Robotic Process Automation and Mining - Andrea Marrella
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/23880
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