Michael Schrefl

Michael Schrefl is a Full Professor at Johannes Kepler University Linz, affiliated with the Institute of Business Informatics - Data & Knowledge Engineering. He serves as Principal Investigator on multiple research projects including AWARE (2024-2026) and AISA (2020-2022), and is actively involved in European research collaborations as both PI and researcher on funded projects.

His research interests span across several key areas in modern data science and business informatics:

• Business Informatics and Digital Transformation
• Data Science and Knowledge Engineering
• Database Systems and Data Mining
• Semantic Technologies and Information Systems
• Predictive and Prescriptive Analytics
• Enterprise Computing and Information Systems

Professor Schrefl's recent publication activity shows a strong focus on reliability assessment in predictive analytics, conceptual modeling for business intelligence, and applications of data science in Industry 4.0 contexts. His work bridges theoretical foundations with practical applications in enterprise information systems, particularly examining data quality and reliability in predictive models.

As an active member of the academic community, Professor Schrefl serves on program committees for major conferences including BI-WEEK, EDOC, and DATA. He has supervised 129 students throughout his career and contributes to educational technology through projects like eTutor++. His research spans multiple fields of science including Knowledge Engineering, IT Security, Web Engineering, and Distributed Systems.

Professor Schrefl maintains strong engagement with both academic and public discourse, having given invited talks on AI topics in 2024 and scheduled media appearances including an Ö1 interview on autonomous weapons systems for 2025, demonstrating his commitment to science communication and societal impact of technological developments.