Daniel Schuster

Daniel Schuster serves as a Researcher at the Fraunhofer Institute for Applied Information Technology (FIT), specializing in advanced process mining methodologies and event data analytics.

His core research domains include:

• Interactive Process Discovery
• Domain-Knowledge-Utilizing Process Discovery
• Conformance Checking
• Event Data Visualization

Dr. Schuster focuses on integrating domain expertise into process discovery frameworks to enhance model accuracy and usability, with particular emphasis on visual analytics for complex event logs. His work bridges theoretical process mining techniques with practical business application scenarios.

Professional profiles are maintained across major academic platforms including DBLP, Google Scholar, ORCID, LinkedIn, and ResearchGate.