Xin Chen and Adam Binford graduate

Congratulations to two wonderful lab members who completed their MS theses in summer 2016 and graduated:

Xin Chen defended her MS Thesis on "Be the Data", and accepted a position at Bloomberg.

Adam Binford defended his MS Thesis on software architectures for semantic interaction, and will work in the DC area.

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Dr. Jessica Zeitz Self accepts faculty position at Mary Washington

Congratulations to Jessica Self, creator of the Andromeda visual analytics tool, who completed her PhD and accepted a faculty position as Assistant Professor of Computer Science at the University of Mary Washington, her alma mater school.
https://vtechworks.lib.vt.edu/handle/10919/70950

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Be the Data: An Embodied Experience for Data Analytics

Chen X, House L, Self JZ, Leman S, Evia JR, Fry JT, North C. Be the Data: An Embodied Experience for Data Analytics. In: 2016 Annual Meeting of the American Educational Research Association (AERA). 2016 Annual Meeting of the American Educational Research Association (AERA). ; 2016. p. 20.

Embodied Visual Analytics - IEEE VIS 2015 Meetup

Xin Chen and Jessica Self led the meetup titled “Be the Data: Embodied Visual Analytics” at IEEE VIS 2015 to discuss how to promote creative interactive data exploration through embodied interactions. We reached people with expertise in large displays, immersive analytics, virtual reality, physical data manipulation, collaboration, etc.

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Big Text Visual Analytics in Sensemaking

Bradel L, Wycoff N, House L, North C. Big Text Visual Analytics in Sensemaking. In: IEEE International Symposium on Big Data Visual Analytics. IEEE International Symposium on Big Data Visual Analytics. ; 2015. p. 8 pages.

Four considerations for supporting visual analysis in display ecologies

Chung H, North C, Joshi S, Chen J. Four considerations for supporting visual analysis in display ecologies. In: Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on. Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on. Chicago, IL, USA; 2015. p. 33-40.

GPU Based Methods for Interactive Information Visualization of Big Data

Interactive visual analysis has been a key component of gaining insights in information visualization area. However, the amount of data has increased exponentially in the past few years. Existing information visualization techniques lack scalability to deal with big data, such as graphs with millions of nodes, or millions of multidimensional data records.

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CHITA Project

Along with members of the BaVA Group and statistics students, we are working with General Dynamics to create a new data analytics system.

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