Professor Marcello La Rosa leads the Information Systems group within the School of Computing and Information Systems at The University of Melbourne, where he also serves as the Deputy Head of School for Engagement. Prior to 2018, he was a Professor at the Queensland University of Technology, where he led the Business Process Management Discipline (2016-17) and served as the Academic Director for corporate programs and partnerships (2012-17).
He was also the recipient of an Information Systems Fellowship from the University of Liechtenstein and held a part-time Principal Researcher position at NICTA (now Data61).
Marcello attracted research funds in excess of AUD 6.5M from nationally competitive grant schemes and private organisations. His research interests span different Business Process Management areas with a focus on process mining and business intelligence, process consolidation and automation, in which he published over 100 papers, including articles in outlets such as ACM Transactions on Software Engineering and Methodology, ACM Computing Surveys, IEEE Transactions on Software Engineering, IEEE Transactions on Knowledge and Data Engineering, Journal of Systems and Software, Information Systems and Decision Support Systems. He obtained best paper awards at the Int. Conference on Business Process Management (BPM'13), Int. Conference on Conceptual Modeling (ER'16) and Int. Conference on Software and System Process (ICSSP'17), and a distinguished paper award at the Int. Conference on Advanced Information Systems Engineering (CAiSE'18), as well as two best demonstration paper awards (BPM'17 and CAiSE'18).
Marcello is the driving force behind the Apromore Initiative, a strategic inter-university collaboration for the development of an open-source process analytics platform, which led to significant technology transfer. He has taught BPM to practitioners and students in Australia and overseas for over ten years. Based on this experience, he co-authored the textbook "Fundamentals of Business Process Management" (Springer, 2nd edition), through which he influenced the curriculum of over 250 universities in the world. Using this book, Marcello co-developed a series of MOOCs (Massive Open Online Courses) on the subject, which have attracted over 25,000 participants to date.
Find out more about Marcello La Rosa's experience
Marcello La Rosa's highlights
FEATURED Conference Proceedings
Automated Repair of Process Models Using Non-Local Constraints
Read moreMarcello La Rosa's selected work
Process Mining Feasibility Study For Unipol With Hspi
Research Contracts
Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event..
Journal article
Process Mining Feasibility Study For Banca Intesa Sanpaolo With P4i
Research Contracts
Automated Discovery of Process Models from Event Logs: Review and Benchmark
Journal article
Diagnosis And Prediction Of Business Process Deviances
Research Grant
Local Concurrency Detection in Business Process Event Logs
Journal article
Marcello La Rosa's selected work
Projects
Displaying the 5 most recent projects by Marcello La Rosa.
Project Types
3
Research Contracts
2
Research Grant
Additional Information
- Principal Researcher at NICTA Queensland (2012-2015)
- Information Systems Fellowship from the University of Liechtenstein (2012-2014)
- ARC Discovery Project "Risk-Aware Business Process Management" (2011-2014)
- ARC-Suncorp Linkage Project “Facilitating Business Process Standardisation and Reuse” (2011-2014)
- NWO Jacquard grant "Configurable Services for Local Governments", The Netherlands (2011-2014)
- CRC "Smart Services" (2010-2013)
Scholarly Works
Displaying the 144 most recent scholarly works by Marcello La Rosa.
Honours, Awards and Fellowships
Credentials
Positions
Positions
Professor Of Information Systems
Computing And Information Systems
Ieee Computational Intelligence Society Membership
IEEE Computational Intelligence Society
Ieee Membership
IEEE
Acm Professional Membership
ACM
Ieee Computer Society Membership
IEEE Computer Society
Education
Education
Ph.D. in Computer Science
Queensland University of Technology
Masters in Computer Engineering (Laurea Magistrale)
Polytechnic of Turin