Andreas Manfred Pointner

Andreas Manfred Pointner is an Assistant Professor at FH Hagenberg, specializing in interdisciplinary research at the intersection of computer science, healthcare informatics, and software engineering. He leads research in graph databases, process mining, and attribute grammars with applications in healthcare IT and automated data systems.

His affiliations include the Web Intelligence and Innovation Laboratory, AIST Center of Excellence, and Medical Engineering/TIMed Center. He has contributed to projects such as RiskAI (risk management in enterprises), PASS (plan analysis automation), and REPO (radiology e-health platforms).

Research Interests: Graph database optimization, interoperability in healthcare systems (HL7 standards), fuzzing techniques for software testing, and process mining for audit event analysis. His work bridges theoretical formal methods with practical applications in clinical workflows and automated data cleansing.

• Notable Contribution: Developed a graph transformation framework for complex data structures
• Recipient of the Best Paper Award 2022 for contributions to intelligent systems
• Collaborative Projects: Focus on AI-driven solutions for enterprise risk management and healthcare interoperability

He actively participates in international conferences and has supervised projects involving 3D model analysis, contour extraction, and global disease monitoring systems.