Dirk Fahland

Dirk Fahland is an Associate Professor in Process Analytics on Multi-Dimensional Event Data at the Analytics for Information Systems group, Eindhoven University of Technology (TU/e), School of Mathematics and Computer Science. He combines formal methods with data-driven approaches to analyze complex distributed systems through event data. His current research focuses on process mining, data engineering, and multi-dimensional analysis of business processes.

Academic Background:

• PhD from Humboldt-Universität zu Berlin and TU/e under Profs Wolfgang Reisig and Wil van der Aalst
• Post-Doc at TU/e on EU-funded ACSI project
• Research stays at Weizmann Institute, HPI Potsdam, and National University of Singapore
• Appointments: Assistant Professor (2013), Tenure (2016), Associate Professor (2019)

Research Interests: Dirk's work centers on analyzing complex systems through event data by developing techniques for large-scale preprocessing, model synthesis, and multi-angle behavioral analysis. He explores object-centric process mining, anomaly detection, and knowledge graph applications for auditing. His research emphasizes balancing model accuracy with simplicity and integrating domain knowledge for explainable process analysis.

Scientific Awards:

• Best Paper Award BIS 2011
• Best Paper Award BPM 2011
• Best Paper Award ICPM 2020
• Best Paper Award ICPM 2021
• Best Reviewer Award ICPM 2019

Educational Contributions: He manages the "Data Science in Engineering" Master's program, leads the "Data Challenge" course series at JADS, and teaches advanced process mining courses. He also contributes to BPMN visualization and performance monitoring education.