Rate Professor Marcello La Rosa

Professional Summary: Professor Marcello La Rosa

Professor Marcello La Rosa is a distinguished academic at the University of Melbourne, Australia, with a focus on information systems and business process management. With an extensive career spanning research, teaching, and leadership, he has made significant contributions to the field through innovative methodologies and impactful publications.

Academic Background and Degrees

Professor La Rosa holds advanced degrees in computer science and information systems, with a strong foundation in both theoretical and applied research.

• PhD in Computer Science, Queensland University of Technology (QUT), Australia (2009)
• Master’s Degree in Computer Engineering, Politecnico di Torino, Italy (2004)

Research Specializations and Academic Interests

Professor La Rosa specializes in business process management (BPM), process mining, and information systems. His research interests include process automation, data-driven process improvement, and the development of tools and methodologies for process analysis and optimization. He is recognized for bridging the gap between academic research and industry application in BPM.

Career History and Appointments

Professor La Rosa has held numerous academic and leadership positions at prestigious institutions worldwide, demonstrating a progressive career trajectory.

• Professor of Information Systems, School of Computing and Information Systems, University of Melbourne, Australia (2018–present)
• Associate Professor, Queensland University of Technology (QUT), Australia (2013–2018)
• Senior Lecturer, Queensland University of Technology (QUT), Australia (2010–2013)
• Research Fellow, Queensland University of Technology (QUT), Australia (2009–2010)

Major Awards, Fellowships, and Honors

Professor La Rosa has received several accolades for his contributions to business process management and information systems research.

• Best Paper Award, International Conference on Business Process Management (BPM) (multiple years)
• ARC Discovery Project Grants, Australian Research Council (various years)

Key Publications

Professor La Rosa has authored and co-authored numerous influential publications in top-tier journals and conferences. Below is a selection of notable works:

• Fundamentals of Business Process Management (2nd Edition, Springer, 2018) – Co-authored with Marlon Dumas, Jan Mendling, and Hajo A. Reijers
• 'Automated Discovery of Process Models from Event Logs: Review and Benchmarks' – IEEE Transactions on Knowledge and Data Engineering (2019)
• 'Business Process Variability Modeling: A Survey' – ACM Computing Surveys (2017)
• Multiple papers in the International Conference on Business Process Management (BPM) proceedings (2009–2023)

Influence and Impact on Academic Field

Professor La Rosa is widely regarded as a leading figure in business process management and process mining. His work on automated process discovery and process model analysis has influenced both academic research and industry practices. He has contributed to the development of widely used BPM tools and frameworks, and his textbook, Fundamentals of Business Process Management, is a seminal resource for students and professionals globally. His research has garnered significant citations, reflecting his impact on the field.

Public Lectures, Committees, and Editorial Contributions

Professor La Rosa is actively involved in the academic community through various roles and contributions.

• Regular keynote speaker and invited lecturer at international conferences such as the International Conference on Business Process Management (BPM)
• Member of the Steering Committee for the International Conference on Business Process Management
• Editorial board member for journals such as Information Systems and Business & Information Systems Engineering
• Program Committee Chair and member for numerous academic conferences in BPM and information systems