We are pleased to share that Michaela Tuscher has successfully completed her PhD proficiency evaluation.
Her topic is "Relationship Analysis in Cultural Heritage Data" and this represents a key milestone on the path toward the doctoral defense.
The evaluation was conducted by a committee consisting of:
Silvia Miksch (supervisor)
CVAST is excited to welcome a new member to the group: Natkamon Tovanich!
Natkamon is joining CVAST as a University Assistant. We’re looking forward to the fresh perspectives and energy he will bring to the team. The entire CVAST group wishes him a great start and an inspiring, collaborative journey ahead!
Dagstuhl Seminar 25152 Explores Visual Process Mining Synergies
April 6–11, 2025 — Schloss Dagstuhl, Germany
Bringing together experts in Process Mining (PM) and Visual Analytics (VA), the Dagstuhl Seminar “Multi-Faceted Visual Process Mining and Analytics” focused on bridging two complementary fields. Over the course of the week, participants tackled challenges in exploring and visualizing complex, multi-faceted process data—including time, space, uncertainty, and provenance.
Empowering Communities: Tailored Pandemic Data Visualization for Varied Tasks and Users
Authors: Tom Baumgartl, Mohammad Ghoniem, Tatiana von Landesberger, G. Elisabeta Marai, Silvia Miksch, and Sibylle Mohr
HoloGraphs: An Interactive Physicalization for Dynamic Graphs
Authors: Daniel Pahr, Henry Ehlers, Velitchko Filipov
Bringing Dynamic Networks into the Physical Realm at IVAPP 2025 in Porto, Portugal. We’re taking network visualization beyond the digital screen. HoloGraphs, our interactive physicalization for dynamic graphs, makes evolving networks tangible using transparent materials-it offers an intuitive way to explore temporal structures-no holodeck required.
Navigating a city during rush hour feels like solving a puzzle where the pieces keep moving. But fear not! A team of researchers—Annika Bonerath, Claus-Christian Carbon, Silvia Miksch, Maurizio Patrignani, and Alessandra Tappini—has cracked the code on time-dependent route planning in a recently published study in Perception in Network Visualization.
We are happy to welcome Tatiana von Landesberger, a fellow researcher from the group for Visual Analytics at the University of Cologne. Her research focuses on information visualization and visual analysis of networks and spatio-temporal data with applications in medicine, biology, finance, and transportation. She has a high number of publications at top conferences and journals. Her work on visual analysis of disease spreading has been awarded at VIS 2020.
