David Gotz, director of the VACLab, has been named to the IEEE Transactions on Visualization and Computer Graphics (TVCG) Editorial Board. He begins a four year appointment as an Associate Editor that will run through Fall 2023.
Welcome to the new VACLab website. We'll try to keep this updated with the latest on our research, software, and accomplishments. We've started things off with some 'legacy' content from our old website. Meanwhile, stay tuned for great things to come!
A paper titled Visual Anomaly Detection in Event Sequence Data was introduced at IEEE Big Data 2019 in Los Angeles, Calafornia in December 2019. Lead author Shunan Guo...
With the conclusion of IEEE VIS and our multiple paper presentations in Vancouver, our attention has started shifting to the upcoming AMIA Annual Symposium in Washington, DC. Our group (and collaborators) will be presenting two abstracts during the five day meetings. Both abstracts are related to our PrecisionVISSTA project funded by the NIH.
In the first abstract, we present an overview of the project including a focus on the challenges of extracting actional insights from Bring-You-Own-Device mHealth data:
Following up on the earlier news that my research team has two full journal papers appearing at IEEE VIS, we’ve also had our short paper about Periphery Plots accepted in the IEEE VIS short paper program.
But that’s not all! In addition to having our third paper at IEEE VIS, we’ve also been award the Best Paper Award in the Short Paper category for our work on Periphery Plots. We look forward to presenting this work during the IEEE VIS opening plenary session in Vancouver later this month.
My group is currently recruiting for two Undergraduate Research Assistants to join us for the 2019-2020 academic year with an option to continue through Summer 2020. Students will be supported through funds from the NSF Research Experiences for Undergraduates (REU) program to work on my team’s ongoing research initiatives.
Students selected to join us will embed within the VACLab research group as full contributing members. They will participate in all research activities from idea generation to programming to evaluation to dissemination.
We’ve recently learned that not one, but TWO articles from the VACLab will be part of IEEE VIS 2019 and published in the January 2020 issue of IEEE Transactions on Visualization and Computer Graphics (TVCG). Both papers are related to our NSF-sponsored research exploring contextual visualization methods.
The first paper describes our latest work to address selection bias in high-dimensional exploratory visualization. A pre-print is available on arxiv and a video figure can be found on our Vimeo account.
Several recent projects have reached a level of maturity where we are able to release open-source software via GitHub. While a number of manuscripts for these projects remain under peer review in advance of eventual publication, we’ve released two open-source repositories corresponding to three distinct research projects.
Cadence
First, we’ve released an early version of our Cadence platform for event sequence analysis. This includes new capabilities designed to (1) combat selection bias during exploratory data analysis, and (2) support high-dimensional event visualization via dynamic hierarchical aggregation.
I’m excited to announced that I’ve been named a 2019-2020 University Scholar by RTI International. Starting in September, I’ll be spending time at RTI’s headquarters to work with the RTI Center of Data Science on collaborative research projects. Our joint goals are to advance the state of the art in data science methods, to develop new data science tools based on those advances, and to apply those tools to impactful real-world problems.