Andrea Marrella
Andrea Marrella is an Associate Professor of Engineering in Computer Science at Sapienza University of Rome. His research work concerns the application of techniques for Reasoning About Actions, including Automated Planning, to problems arising in Business Process Management (BPM), Robotic Process Automation (RPA), and Process Mining. Andrea has co-authored over 100 scientific publications in major outlets in the AI and information systems areas, winning a Best Paper Award at CAiSE 2017. Andrea is an Editorial Board Member of the ACM Journal of Data and Information Quality. Among his recent scientific appointments, he has been the PC Chair of the RPA track of BPM 2022 and will be the General Chair of ICPM 2023. Andrea pioneered the application of AI techniques to untangle complex challenges from the BPM domain, such as synthesis of process models, adaptation of production processes using digital twins, and optimal alignment of execution traces against their underlying process models. In 2022, he co-authored the Manifesto on AI-Augmented BPM, presenting the vision to make processes more adaptable, proactive, and explainable through AI. In 2023, he was appointed to organize and chair the AAAI 2023 Bridge Program on AI and BPM. From 2022, he coordinates the working group on AI and BPM of the AIxIA community. Since 2021, he is the Local PI of the H2020 project DataCloud, focusing on empowering process mining with AI to develop a new breed of Big Data pipeline discovery solutions.