Massimo Mecella

About

Massimo Mecella is a prominent computer scientist whose research sits at the intersection of Business Process Management (BPM), Artificial Intelligence, and emerging automation technologies. Best known for his pioneering work in Intelligent Robotic Process Automation (RPA), Mecella has fundamentally shaped how organizations think about automating routine, high-volume tasks previously performed by human operators. His landmark 2019 paper "Research Challenges for Intelligent Robotic Process Automation" has accumulated 68 citations, establishing a foundational research agenda that continues to guide the field. Mecella's contributions extend into the automated generation of executable RPA scripts from User Interface logs — work that bridges the gap between raw process data and deployable software robots — as well as reactive synthesis techniques for constructing those robots algorithmically. Equally significant is his research on Cyber-Physical Processes (CPPs), exploring how IoT devices, sensors, and embedded systems transform business process management in domains such as emergency management and smart manufacturing. Through tools like SmartRPA and rigorous studies on UI log segmentation, Mecella has not only theorized these advances but delivered practical implementations, cementing his reputation as both a visionary researcher and a builder whose work meaningfully impacts industry practitioners and the broader BPM community.

Research Focus

Key Achievements

Top Papers

1. 1
   Research Challenges for Intelligent Robotic Process Automation

   68 citations · 2019
2. 2
   Supporting adaptiveness of cyber-physical processes through action-based formalisms

   32 citations · 2017
3. 3
   Automated Generation of Executable RPA Scripts from User Interface Logs

   29 citations · 2020
4. 4
   Towards Intelligent Robotic Process Automation for BPMers

   27 citations · 2020
5. 5
   Reactive synthesis of software robots in RPA from user interface logs

   22 citations · 2022
6. 6
   Exploring the Challenge of Automated Segmentation in Robotic Process Automation

   17 citations · 2021
7. 7
   IoT for BPMers. Challenges, Case Studies and Successful Applications

   14 citations · 2019
8. 8
   11 Automated segmentation of user interface logs

   11 citations · 2021
9. 9
   Adaptive Process Management in Cyber-Physical Domains

   10 citations · 2017
10. 10
    SmartRPA: A Tool to Reactively Synthesize Software Robots from User Interface Logs

    9 citations · 2021

Key Collaborators

Contact & Links