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个人简介
Dirk Fahland is an Associate Professor in Process Analytics on Multi-Dimensional Event Data of the Analytics for Information Systems group at Eindhoven University of Technology (TU/e). Starting from a strong background in construction and analysis of distributed systems with formal models, he has, over the years, embraced event data as a central source for system analysis. His research interests are in describing and analyzing complex and distributed systems and processes through their event data using process mining and data engineering. A central theme in Dirk’s research is analyzing data and systems that are too large or complex to be understood as monolithic end-to-end processes executed in isolation. Dirk’s approach is analyze and describe such systems as a complex network of behavior from several different angles. To achieve this goal, he is researching techniques for large-scale event data pre-processing and querying as well as discovering, synthesizing, and transforming models from event data and from existing models.
研究兴趣
论文共 155 篇作者统计合作学者相似作者
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CoRR (2024)
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BPMpp.180-197, (2023)
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CoRR (2023)
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BPM (Forum) (2023): 145-162
2023 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION, ICSMEpp.425-435, (2023)
Zenodo (CERN European Organization for Nuclear Research) (2023)
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International Conference on Process Miningpp.84-97, (2023)
ICPM Workshops (2023): 493-505
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