معرفی
Henrik Leopold is a Professor affiliated with Kühne Logistics University and Hasso Plattner Institute. His research focuses on Business Process Management (BPM), Process Mining, and the application of AI technologies like Large Language Models (LLMs) in process automation. He has co-authored over 138 publications, including impactful works on process mining in supply chains, robotic process automation effects, and explainable anomaly detection in event logs.
Key research interests include:
- Process Mining & Business Process Optimization
- AI-driven Process Automation
- Process Model Matching & Compliance Checking
- Natural Language Processing in BPM
- Process Analytics & Data-Driven Decision-Making
Recent work emphasizes interdisciplinary approaches combining process mining with LLMs for tasks like event log extraction and prompt engineering. He actively contributes to BPM conferences such as BPM, CAiSE, and HICSS, often serving as program committee member. His research addresses both technical challenges (e.g., anomaly detection) and organizational aspects (e.g., process automation adoption barriers).
Notable contributions include development of Sketch2Process for BPMN sketch recognition and foundational work on process model validation. Current activities explore future directions in BPM through collaborative ranking of research challenges and benchmarking LLM capabilities for process tasks.
