Wolfgang Aigner

Wolfgang Aigner is a Professor at TU Wien's Department of Visual Analytics, part of the Faculty of Computer Science. His main affiliation is with the Visual Analytics Research Department (E193-07). He focuses on advancing information visualization, time-oriented data representation, and knowledge-assisted visual analytics. His work emphasizes user onboarding methods for unfamiliar visualizations, integrating explicit domain knowledge into analytic workflows, and developing systems for malware analysis and healthcare informatics.

Key research areas include:

• Design of intuitive visualization onboarding systems
• Temporal data visualization and pattern detection
• Integration of explicit knowledge in visual analytics
• Malware behavior visualization and forensic analysis
• Healthcare data exploration focusing on temporal patient trajectories

Notable contributions include the KAMAS malware analysis system, task cube conceptual framework for visualization design evaluation, and methodologies for visually guided time series imputation. He has supervised 14+ graduate theses exploring topics like glyph editors, temporal data visualization, and bias detection in language models.

Recent work emphasizes educational theories in visualization onboarding, with comparative studies on user guidance effectiveness and system scaffolding approaches. His research bridges cognitive science principles with practical visual analytics tools for domains like cybersecurity and healthcare.