Marlon Dumas

Marlon Dumas is a Professor of Information Systems at the University of Tartu's Faculty of Science and Technology, with a 20-year academic career spanning Estonia and Australia. He holds a PhD in Computer Science from the University of Grenoble 1, France, and has served as Head of Chair and Programme Director in Software Engineering programs.

• Specializes in Business Process Management (BPM) and Process Mining
• Current research focuses on prescriptive process monitoring, simulation modeling, and data privacy
• Recipient of 25+ scientific awards, including multiple Test of Time Awards and the Estonian National Research Award in Technical Sciences
• Editorial leadership: Area Editor for Information Systems (Elsevier) and ERC Starting Grant Panel Chair

His work bridges theoretical advancements in BPM with practical applications in financial services and anti-money laundering. He has developed tools like SIMOD, Kronos, and Kairos for process optimization and analysis. His research integrates AI/ML techniques (reinforcement learning, causal inference) with traditional process modeling.

Key trends in his recent publications include:

• Prescriptive monitoring systems combining causal inference and machine learning
• Privacy-preserving process mining techniques (differential privacy, anonymization)
• Resource availability modeling and multi-objective process optimization
• LLM applications for process analysis and intervention policies

Scientific honors include:

• 2024 BPM Best Paper & Prototype Awards
• 2023 ICPM Best Prototype Award
• 2019 ERC Advanced Grantee
• 2017 Estonian National Research Award in Technical Sciences
• 2019 MODELS Test of Time Award
• 2017 BPM Best Prototype Award

He has mentored PhD candidates as thesis examiner and contributed to 30+ conference program committees, including General Co-Chair roles at ESEC-FSE 2019 and CAiSE 2018. His work has been supported by European Research Council grants and Estonian Science Foundation projects.