Shixia Liu is an associate professor at Tsinghua University. Her research interests include visual text analytics, visual model analytics, visual behavior analytics, and text mining. Shixia is an associate editor of IEEE Transactions on Visualization and Computer Graphics and was the papers co-chair of IEEE VAST 2016 and 2017.
Adam Perer is an Assistant Research Professor at Carnegie Mellon University, where he is a member of the Human-Computer Interaction Institute. His research integrates data visualization and machine learning techniques to create visual interactive systems to help users make sense out of big data. Lately, his research focuses on human-centered data science and extracting insights from clinical data to support data-driven medicine. This work has been published at premier venues in visualization, human-computer interaction, and medical informatics. He was previously a Research Scientist at IBM Research. He holds a Ph.D. in Computer Science from the University of Maryland, College Park.
Liang is a Principal Research Scientist at Visa Research. His research interests lie in the fields of visual analytics, deep learning and human-computer interaction. Prior to joining Visa Research, Liang was a Research Staff Member at IBM Almaden Research Center.
Hendrik Strobelt is a Researcher in Information Visualisation, Visual Analytics, and Machine Learning at IBM Research AI in Cambridge, MA. He is interested in Visualization of large data sets of unstructured/semi-structured data, biological data, and neural network models.
Panpan Xu is a Lead Research Scientist at Bosch Research. Her research interests include visual analytics, machine learning and human-computer interaction. She holds a Ph.D. in Computer Science from the Hong Kong University of Science and Technology.
Daniel Keim is a full professor and head of the Information Visualization and Data Analysis Research Group at the University of Konstanz, Germany. He has been actively involved in information visualization and data analysis research for about 20 years and developed a number of novel visual analysis techniques for very large data sets with applications to a wide range of application areas including financial analysis, network analysis, geo-spatial analysis, as well as text and multimedia analysis.
Torsten Möller is a professor of computer science at the University of Vienna, Austria where he heads the research platform Data Science @ Uni Vienna as well as the research group on Visualization and Data Analysis. Since 2018, he serves as the editor-in-chief for IEEE Computer Graphics and Applications.
Marc is a tenured Full Professor at the Institute of Computer Graphics at Johannes Kepler University Linz where he leads the Visual Data Science group. His scientific areas of interest include visualization, visual analytics, and biological data visualization, where he is particularly interested in the integrated analysis of large heterogeneous data.
Alex is an assistant professor of computer science at the Scientific Computing and Imaging Institute and the School of Computing at the University of Utah. He develops interactive data analysis methods for experts and scientists. His primary research interests are interactive data visualization and analysis especially applied to molecular biology and graph visualization.