This workshop series aims at bringing together European and Chinese researchers in the field of visualization and is co-organized by Prof. Yunhai Wang (Shandong University, China), Prof. Oliver Deussen (University of Konstanz, Germany), and Dr. Tobias Isenberg (Inria, France). The event is a continuation of a series of Sino-German workshops on visualization in 2017 and 2018, which have initiated many collaborations.
In a sequence of short virtual meetings (2h each) with three presentations and a panel discussion, we want to invite leading experts and discuss current topics and open questions. We plan to have these meetings every three months, typically in the morning time for Europe (and afternoon for China).
Our second workshop focuses on the topic of Where is Visual Analysis going? on May 23th (14:30 -16:30, CET; 20:30-22:30, HKT).
Time: May 23, 14:30 - 16:30 , CET and 20:30 - 22:30 , HKT
Organizers: Yunhai Wang,
Please register by visiting the following links or scanning the QR codes
|Time (CET / HKT)||Speaker||Title|
14:30 - 14:35 /
20:30 - 20:35
14:35 - 15:00 /
20:35 - 21:00
|Min Chen||Visualization Design vs. Bridge Design|
15:00 - 15:25 /
21:00 - 21:25
Visual Analytics for Industrial
15:25 - 15:50 /
21:25 - 21:50
Anytime Anywhere All At Once: Data
Analytics in the Metaverse
15:50 - 16:30 /
21:50 - 22:30
|All speakers||Panel Discussion|
Min ChenOxford University
Title: Visualization Design vs. Bridge Design
Abstract: In this talk, the speaker will compare and contrast the problems of and approaches to designing a bridge and a visualization system or a visual analytics workflow, will make some observation about a few practical problems and approaches in VIS applications, and will attempt to suggest some answers to the question "Where is Visual Analysis Going?"
Biography: Min Chen developed his academic career in Wales between 1984 and 2011. He is currently Professor of Scientific Visualization at Oxford University and a fellow of Pembroke College. His research interests include many aspects of data science in general, and visualization and visual analytics in particular. He has co-authored over 200 publications, including his recent contributions in areas such as theory of visualization, visual analytics for machine learning, and perception and cognition in visualization. He has worked on a broad spectrum of interdisciplinary research topics, ranging from the sciences to sports, and from digital humanities to cybersecurity. His services to the research community include papers co-chair of IEEE Visualization 2007 and 2008, Eurographics 2011, IEEE VAST 2014 and 2015; co-chair of Volume Graphics 1999 and 2006, EuroVis 2014; associate editor-in-chief of IEEE Transactions on Visualization and Computer Graphics; editor-in-chief of Computer Graphics Forum; and co-director of Wales Research Institute of Visual Computing. He is a fellow of British Computer Society, European Computer Graphics Association, and Learned Society of Wales.
Tobias SchreckGraz University of Technology
Title: Visual Analytics for Industrial Production Data
Abstract: Due to advances in sensor, network, measurement and other technologies, data can be captured about many steps of the industrial production process. This yields large amounts of data, and methods are needed for supporting production engineers, planners and other stakeholders in their tasks. Visual Analytics methods can be very helpful to support the exploration and analysis of large production data for understanding and decision making. We give an overview of selected data analysis problems in industrial data. We then discuss Visual Analytics solutions we developed together with domain experts from the automotive industry in a series of design studies. We show how we can support tasks like anomaly detection in time-series data, correlation of patterns in end-of-line test data, and visual comparison of classifiers for test procedures. We also discuss future work opportunities in the area.
Biography: Tobias Schreck is a professor and head of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. His research interests include visual analytics, information visualization, and applied 3D object retrieval. He received his Ph.D. degree in computer science from the University of Konstanz, Germany in 2006. Previously, he was an Assistant Professor with University of Konstanz, and a Postdoc researcher with Technical University of Darmstadt, Germany. He served as Associate Editor for IEEE TVCG, as Papers Co-Chair for IEEE VAST 2017 and 2018, and currently as Papers Co-Chair for EuroVis 2022.
Niklas ElmqvistUniversity of Maryland
Title: Anytime Anywhere All At Once: Data Analytics in the Metaverse
Abstract: The face of computing looks very different now compared to only ten years ago. Mobile computing, virtual and augmented reality, and the internet of things (IoT) have transformed the way we interact with computers. But how has these technologies impacted data analysis, and how will they cause data analysis to change in the future? In this talk, I will review my group's sustained efforts of going beyond the mouse and the keyboard into the metaverse of analytics: large-scale, distributed, ubiquitous, immersive, and increasingly mobile forms of data analytics. I will also present my vision for the fundamental theories, applications, design studies, technologies, and frameworks we will need to fulfill the vast potential of this exciting new area in the future.
Biography: Niklas Elmqvist (he/him/his) is a full professor in the iSchool (College of Information Studies) at University of Maryland, College Park. He received his Ph.D. in computer science in 2006 from Chalmers University in Gothenburg, Sweden. Prior to joining University of Maryland, he was an assistant professor of electrical and computer engineering at Purdue University in West Lafayette, IN. From 2016 to 2021, he served as the director of the Human-Computer Interaction Laboratory (HCIL) at University of Maryland, one of the oldest and most well-known HCI research labs in the United States. His research area is information visualization, human-computer interaction, and visual analytics. He is the recipient of an NSF CAREER award as well as best paper awards from the IEEE Information Visualization conference, the ACM CHI conference, the International Journal of Virtual Reality, and the ASME IDETC/CIE conference. He was papers co-chair for IEEE InfoVis 2016, 2017, and 2020, as well as a subcommittee chair for ACM CHI 2020 and 2021. He is also a past associate editor of IEEE Transactions on Visualization & Computer Graphics, as well as a current associate editor for the International Journal of Human-Computer Studies and the Information Visualization journal. In addition, he serves as series editor of the Springer Nature Synthesis Lectures on Visualization. His research has been funded by both federal agencies such as NSF, NIH, and DHS as well as by companies such as Google, NVIDIA, and Microsoft. He is the recipient of the Purdue Student Government Graduate Mentoring Award (2014), the Ruth and Joel Spira Outstanding Teacher Award (2012), and the Purdue ECE Chicago Alumni New Faculty award (2010). He was elevated to the rank of Distinguished Scientist of the ACM in 2018.