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UID:calendar.25672.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260407T200318Z
CREATED:20230316T180025Z
DESCRIPTION:Care colleghe e colleghi\, con la presente vi informo che in ot
 temperanza ai requisiti previsti dalla procedura valutativa per n.3 posti 
 di Ricercatore a tempo determinato tipologia A - PNRR PE1 Spoke 5 SC 09/H1
  SSD ING-INF/05 - Dipartimento di Ingegneria Informatica Automatica e Gest
 ionale 'A. Ruberti'\, Codice Bando: 2023RTDAPNRR001\, pubblicato su Gazzet
 ta Ufficiale N. 5 del 20.01.2023\, si terrà in Aula Magna alle ore 10:00 i
 l seminario di Simone Agostinelli che illustrerà le sue attività di ricerc
 a svolte e in corso di svolgimento. Il seminario sarà anche trasmesso in m
 odalità telematica su Zoom. Per partecipare da remoto connettersi al segue
 nte link: https://uniroma1.zoom.us/j/97463105561?pwd=RE5reUxMZ2tlWWdnZ2Vua
 HFmTDFUdz09 Meeting ID: 974 6310 5561Passcode: 562089 Titolo: AI-empowered
  Hybrid Robotic Process Automation Abstract:Robotic Process Automation (RP
 A) is a fast-growing technology in the field of Business Process Managemen
 t (BPM) that creates software (SW) robots to partially or fully automate r
 ule-based and repetitive tasks (or simply routines) performed by human use
 rs in their applications’ user interfaces (UIs). Successful usage of RPA r
 equires strong support by skilled human experts\, from the detection of th
 e routines to be automated to the development of the executable scripts re
 quired to enact SW robots. In this talk\, I discuss how process mining and
  automated planning techniques can be leveraged to minimize the manual and
  time-consuming steps required to create SW robots\, enabling new levels o
 f automation and support for RPA. In particular\, I introduce a pipeline o
 f processing steps that enable to (1) semi-automatically discover the anat
 omy of a routine directly from the UI logs\, and (2) automatically develop
  executable scripts for performing SW robots at run-time. Finally\, I disc
 uss how the proposed techniques can be leveraged to tackle relevant challe
 nges in the AI-augmented BPM field. Short Bio:Simone Agostinelli received 
 his Ph.D. in Engineering in Computer Science from Sapienza Università di R
 oma in 2022. He is currently a postdoctoral research fellow in Engineering
  in Computer Science at Sapienza Università di Roma. In 2019\, he received
  the best forum paper award at the 31st International Conference on Advanc
 ed Information Systems Engineering (CAiSE’19). His main research interest 
 concerns theoretical\, methodological\, and practical aspects in different
  areas of Computer Science\, including Business Process Management (BPM)\;
  Robotic Process Automation (RPA)\; Human-Computer Interaction (HCI)\; Pro
 cess Mining\; Model Learning\; Automated Planning in the field of BPM\; Bi
 g Data Pipelines Discovery\; and Blockchain Technologies. Such topics are 
 challenged in the application domains of smart manufacturing\, IoT-based e
 nvironments\, and healthcare. He has published many papers on the above to
 pics in top-tier conferences and journals\, including BPM\, ICSOC\, Inform
 ation Systems\, and Computer in Industry.
DTSTART;TZID=Europe/Paris:20230321T100000
DTEND;TZID=Europe/Paris:20230321T100000
LAST-MODIFIED:20230316T183616Z
LOCATION:Aula Magna\, DIAG
SUMMARY:Seminario pubblico di Simone Agostinelli (Procedura valutativa per 
 n.3 posti di Ricercatore a tempo determinato tipologia A - PNRR PE1 Spoke 
 5 SC 09/H1 SSD ING-INF/05) - Martedì 21/03/2023 ore 10.00\, Aula Magna - S
 imone Agostinelli
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/25672
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