Davide Ceneda

Davide Ceneda is a Postdoctoral Researcher at the Vienna University of Technology (TU Wien), affiliated with the Institute of Visual Computing & Human-Centered Technology under the Faculty of Informatics. His research focuses on guidance systems in visual analytics and information visualization, particularly in time-oriented data analysis and user interaction.

Education highlights include his Dr.-techn. (PhD) in Guidance-Enriched Visual Analytics completed in 2020 at TU Wien. He has collaborated extensively with institutions like the Institute of Visual Computing and researchers such as Silvia Miksch, Theresia Gschwandtner, and Alessio Arleo.

Key research areas include:

• Guidance frameworks for mixed-initiative systems
• Temporal network visualization (e.g., TimeLighting)
• User confidence measurement under uncertainty
• Automated timing for guidance interventions

Recent work emphasizes task-driven methodologies and practical frameworks like Lotse. His publications span top venues including IEEE TVCG, EuroVis workshops, and Computer Graphics Forum.

No awards were explicitly listed in the provided materials. Active collaborations involve developing guidance systems for real-world applications like pandemic data journalism (COVIs project).