Ritratto di andrea.marrella@uniroma1.it

Teaching activities in A.A. 2021-2022

 

Process Management and Mining

 

Insegnamento Codice Anno Corso - Frequentare Bacheca
FONDAMENTI DI INFORMATICA 1017401 2022/2023
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 10599898 2022/2023
PROCESS MANAGEMENT AND MINING 10589744 2022/2023
PROCESS MANAGEMENT AND MINING 10589744 2022/2023
ARTIFICIAL INTELLIGENCE 10600392 2022/2023
FONDAMENTI DI INFORMATICA 1017401 2021/2022
PROCESS MANAGEMENT AND MINING 10589744 2021/2022
PROCESS MANAGEMENT AND MINING 10589744 2021/2022
PROCESS MANAGEMENT AND MINING 10589744 2020/2021
FONDAMENTI DI INFORMATICA 1017401 2020/2021
PROCESS MANAGEMENT AND MINING 10589744 2020/2021
PROCESS MANAGEMENT AND MINING 10589744 2019/2020
FONDAMENTI DI INFORMATICA 1017401 2019/2020
PROCESS MANAGEMENT AND MINING 10589744 2019/2020
FONDAMENTI DI INFORMATICA 1017401 2018/2019
PROCESS AND SERVICE MODELING AND ANALYSIS 1044402 2018/2019
LINGUAGGI PER LA MODELLAZIONE E L'INNOVAZIONE DEI PROCESSI 1056067 2018/2019
ENTERPRISE INFORMATION SYSTEMS 1041414 2017/2018
PROCESS AND SERVICE MODELING AND ANALYSIS 1044402 2017/2018
FONDAMENTI DI INFORMATICA 1017401 2017/2018
SISTEMI INFORMATIVI AZIENDALI 1017666 2017/2018
ATELIER DI MULTIMEDIA DESIGN 1044088 2016/2017
PROCESS AND SERVICE MODELING AND ANALYSIS 1044402 2016/2017
FONDAMENTI DI INFORMATICA 1017401 2016/2017
ENTERPRISE INFORMATION SYSTEMS 1041414 2016/2017

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Andrea Marrella is an Associate Professor of Engineering in Computer Science at Sapienza University of Rome. Andrea has co-authored over 110 scientific publications in major outlets in the AI, HCI 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 and ACM Computing Surveys. Among his recent scientific appointments, he has been the PC Chair of the Robotic Process Automation track of BPM 2022 and General Chair of 5th International Conference on Process Mining (ICPM 2023), and is the PC Co-Chair of BPM 2024 (Core rank A). 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 2023, 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.