Marian Lux

Marian Lux is a researcher affiliated with the Faculty of Computer Science, specializing in workflow systems and business process management through the Research Group Workflow Systems and Technology. Her academic profile centers on the intersection of process modeling, user behavior analysis, and search algorithm development within information systems.

Her research interests span business process management and process mining, with particular emphasis on:

• User behavior patterns in search process models
• Quality assessment of business process execution
• Pattern recognition in workflow systems
• Data-driven optimization of customer journey processes
• Digital transformation frameworks for smart communities

Analysis of her publication history reveals a consistent trajectory from foundational work on search process modeling (2018-2019) toward broader applications in digital ecosystems (2023), demonstrating increasing scope from technical process analysis to societal-scale digital transformation projects. Her research bridges theoretical computer science with practical business process applications across tourism, e-commerce, and rural community development domains.

Marian Lux actively contributes to the Research Group Workflow Systems and Technology, where she develops methodologies for analyzing process execution data and modeling common behavioral patterns. Her work frequently employs ontology-based approaches and leverages underlying data structures to identify optimization opportunities in complex workflow systems.