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Contact


Email

marcello.larosa@unimelb.edu.au

Credentials


Position
Honorary Professorial Fellow
School of Computing and Information Systems
Education
Doctoral Degree (Research) / PhD
Queensland University of Technology
Masters Degree (Coursework & Research)
Polytechnic of Turin
ORCID

0000-0001-9568-4035

Prof Marcello La Rosa

Honorary Professorial Fellow
School of Computing and Information Systems

129 Scholarly works
4 Projects

HIGHLIGHTS

  • 2022

    Research grants (ARC, NHMRC, MRFF)

    ARC Research Hub for Digital Bioprocess Development
  • 2022

    Conference Proceedings

    Why Do Banks Find Business Process Compliance so Challenging? An Australian Perspective
    DOI: 10.1007/978-3-031-16171-1_1
  • 2019

    Research grants (other domestic)

    Building 4.0 CRC
  • 2019

    Journal article

    Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs
    DOI: 10.1007/s10115-018-1214-x
  • 2019

    Journal article

    Automated Discovery of Process Models from Event Logs: Review and Benchmark
    DOI: 10.1109/TKDE.2018.2841877
  • 2019

    Journal article

    Local Concurrency Detection in Business Process Event Logs
    DOI: 10.1145/3289181
  • 2018

    Research Grant

    Diagnosis and Prediction of Business Process Deviances
Marcello La Rosa

Latest Honours,
Awards and Fellowships


2017
Best Demo Paper Award - Int. Conference on Business Process Management - BPM (2017)
2017
Best Paper Award - Int. Conference on Software and System Process - ICSSP (2017)
2017
Distinguished Paper Award - Int. Conference on Advanced Information Systems Engineering - CAiSE (2018)
2017
Best Demo Paper Award - Int. Conference on Advanced Information Systems Engineering - CAiSE (2018)

RECENT SCHOLARLY WORKS

  • 2026

    Journal article

    Addressing the Contemporary Challenges of Business Process Compliance: The Case for Process Mining in the Banking Industry
    DOI: 10.1007/s12599-025-00929-3
  • 2026

    Book Chapter

    A Digital Twin Framework for Bioprocess Development Using IoT Sensor Data
    DOI: 10.1007/978-3-031-90746-3_12
  • 2025

    Journal article

    Five guidelines to improve context-aware process selection: an Australian banking perspective
    DOI: 10.1108/BPMJ-12-2023-0963
  • 2024

    Journal article

    Process Query Language: Design, Implementation, and Evaluation
    DOI: 10.1016/j.is.2023.102337
  • 2024

    Conference Proceedings

    Apromore Compliance Center: A No-Code Solution to Process Compliance Management
  • 2023

    Journal article

    Prescriptive process monitoring based on causal effect estimation
    DOI: 10.1016/j.is.2023.102198
  • 2023

    Journal article

    AI-augmented Business Process Management Systems: A Research Manifesto
    DOI: 10.1145/3576047
  • 2023

    Conference Proceedings

    Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning
    DOI: 10.1007/978-3-031-34560-9_22

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

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