Simone Agostinelli
استادیار · Robotic Process Automation
Schloss Dagstuhl - Leibniz Center for Informaticsمعرفی
Simone Agostinelli is a researcher and academic at Sapienza University of Rome specializing in business process management, robotic process automation (RPA), and process mining. He completed his PhD at Sapienza University of Rome in 2022 with a dissertation titled 'Generating executable robotic process automation scripts from unsegmented user interface logs.' His work demonstrates extensive collaboration with researchers including Andrea Marrella, Massimo Mecella, and several others across numerous publications.
Dr. Agostinelli's research focuses on the intersection of business process management and automation technologies. His primary interests include developing methods for generating executable RPA scripts from user interface logs, applying process mining techniques to improve business processes, implementing AI-augmented business process management systems, and exploring blockchain applications for supply chain transparency and business confidentiality. His work bridges theoretical computer science with practical business applications, particularly in production planning, logistics, and supply chain management.
Analysis of his publication trends reveals a consistent focus on automating business processes through innovative technical approaches. Starting with foundational work on RPA script generation, his research has expanded to include context-aware decision support systems, trust mechanisms in AI-augmented BPM, and blockchain applications for secure business collaboration. His recent work shows increasing sophistication in integrating multiple technologies (RPA, process mining, AI, and blockchain) to solve complex business process challenges.
Dr. Agostinelli has been actively involved in major conferences including BPM, CAiSE, and ICPM, often contributing both research papers and demonstration tools like SmartRPA and DIS-PIPE. His work demonstrates strong industry relevance while maintaining academic rigor, with applications spanning healthcare, manufacturing, and supply chain domains.
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- AAndrea MarrellaSchloss Dagstuhl - Leibniz Center for Informatics · پژوهشگر
- MMathias WeskeUniversity of Trier · استاد
- HHenrik LeopoldUniversity of Trier · استاد
Andrea MarrellaSapienza University of Rome · دانشیار- HHajo A. ReijersUniversity of Trier · استاد
Arthur ter HofstedeQueensland University of Technology · استاد