Estefanía Serral

Estefanía Serral is a prominent researcher affiliated with KU Leuven, Belgium, specializing in interdisciplinary areas at the intersection of Process Mining, Internet of Things (IoT), and Business Process Management. Her work focuses on integrating IoT data with business processes, enhancing process analytics through machine learning, and developing adaptive systems for smart environments.

Research Contributions:

• Pioneered methods for IoT-enhanced process mining, including frameworks for data quality management and event log enrichment.
• Developed techniques for bridging IoT sensor data with traditional process models, enabling context-aware process analysis.
• Contributed to the design of adaptive business processes using context-aware Petri nets and decision-driven architectures.

Publications:

Her most recent works (2023-2025) emphasize digital twins of business processes, deep learning applications in agriculture, and systematic reviews on Industry 4.0 process mining. Early contributions include foundational work on context-adaptive systems and decision service architectures.

Awards & Recognition:

No explicit awards mentioned, but her extensive publication record in top venues (e.g., BPM, ER, CEUR Workshop Proceedings) reflects her scholarly impact.

Technical Contributions:

• Co-developed the NICE IoT-centric event log model and SensorStream XES extension for process mining.
• Authored frameworks like Decision as a Service (DaaS) for decision integration in processes.