TU Wien Knowledge and Transfer Support (Kathleen Jimenez) organized a webinar to learn about the latest developments in this fast-growing research area: Medical Data Intelligence: Data Landscape and Analysis Tools.
A new coronavirus (COVID19) was first identified in Wuhan and, now, it has spread to many countries around the world. The CVAST group developed an interactive visualization tool to track the spread of the disease and predict its development in different countries. Check the tool by clicking in the link below:
On February 24, 2020 Christian Bors successfully defended his PhD thesis titled
"Facilitating Data Quality Assessment Utilizing Visual Analytics: Tackling Time, Metrics, Uncertainty, and Provenance".
Our paper "Bridging the Gap between Visual Analytics and Digital Humanities: Beyond the Data-Users-Tasks Design Triangle" won the Best Paper award in the vis4dh 2019 workshop at IEEE Vis in Vancouver, Canada (Oct. 20-25, 2019).
At the highly competitive ”Information and Communication Technology” Project Call of the Vienna Science and Technology Fund (WWTF), our basic research project GuidedVA was funded.
Nikolaus is joining CVAST as a PhD Student in the field of visualization for "Blind Source Separation" (BSS).Following our previous announcement, results for the GD 2019 Creative Challenge Contest are out: CVAST submission "The Fabric of Heroes" got the THIRD place for the SECOND year in a row!
Congratulations to the authors, keep up the good work!
'Microtubule Catastrophe' -- our joined submission with the Research Division of Computer Graphics (TU Wien) and the Molecular Graphics Lab at the Scripps Research Institute -- won the Jury's Award of the Image Contest at the 9th EG Workshop on Visual Computing for Biology and Medicine (VCBM 2019).
Daniel Archambault
University Swansea, United Kingdom
http://cs.swansea.ac.uk/~csdarchambault
