Panpan Xu (徐盼盼), Lead Research Scientist at Bosch Research, Sunnyvale, CA.
My research interest is empowering people to understand data and communicate their insights more efficiently through the development of new interactive visualization systems and data mining algorithms. I use a multidisciplinary approach combining techniques in machine learning, data visualization, and human-computer interaction.
Currently, I am working on the following topics: (1) visual summarization techniques for distilling knowledge from large-scale and complex data (e.g. event sequence data, spatial-temporal data, graphs/networks) (2) interpretable and steerable machine learning and (3) application-driven development of visual analytics systems.
I hold PhD and Bachelor's in Computer Science from Hong Kong University of Science and Technology and Zhejiang University, respectively.
(Full list: Google Scholar)
VisPubData.org: A Metadata Collection about IEEE Visualization (VIS) Publications
IEEE Transactions on Visualization and Computer Graphics 2017
Petra Isenberg, Florian Heimerl, Steffen Koch, Tobias Isenberg, Panpan Xu, Chad Stolper, Michael Sedlmair, Jian Chen, Torsten Möller, John Stasko
paper data visualization demo site
PhD, Computer Science
B.S., Computer Science
"A problem clearly stated is a problem half solved." - Dorothea Brande
"The fundamental principles of designing for people: (1) provide a good conceptual model and (2) make things visible." - The Design of Everyday Things, Don Norman
"The writers who have most to give us often do most violence to our prejudices, particularly if they are our own contemporaries." - Virginia Woolf
Panpan Xu, 2019