Vis 2017: Georgia Tech Visualization Research Expands New Paths to Understanding Data 

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Georgia Tech researchers are presenting new techniques and research for information visualization and visual analytics this week, Oct. 1-6, at the IEEE Vis 2017 conference in Phoenix, Ariz. 

Georgia Tech research is led by School of Interactive Computing faculty and students, and also includes School of Computational Science and Engineering researchers. 

Among the 20 Georgia Tech papers and posters in the technical program at InfoVis and VAST (Visual Analytics Science and Technology) are those that include a variety of approaches portending a future where data analysis tools will be as commonplace as word processing software.   

Visualization work, already inherent to many enterprises, is gaining wider adoption and creating a wave of new opportunities and research innovations in the space. Visualizations are designed to create interactive representations of data that allow users to explore its many facets and connections in order to gain greater insight into data sets.

Some emerging themes in this year’s Georgia Tech work include machine learning methods, new techniques to explore data patterns (including augmented reality), modeling neural networks, and finding connections within graphs, such as for biological systems, network security and finance.

John Stasko, Interactive Computing, and his co-authors were presented one of five Test of Time awards Tuesday morning at the plenary ceremony for their research from VAST 2007. The paper, Jigsaw: Supporting Investigative Analysis through Interactive Visualization was co-authored by John Stasko, Carsten Görg, Zhicheng Liu, and Kanupriya Singhal.

Explore GT research from Vis 2017 below and come back through the week for a look at the people in Georgia Tech’s VIS Lab as well as coverage of the Test of Time Award.


GT Involvement at IEEE VIS 2017



VAST Test of Time Award

“Jigsaw: Supporting Investigative Analysis through Interactive Visualization”

John Stasko, Carsten Görg, Zhicheng Liu, and Kanupriya Singhal

For paper at VAST 2007 Conference


InfoVis Papers

“Orko: Facilitating Multimodal Interaction for Visual Network Exploration and Analysis” 

Arjun Srinivasan and John Stasko


VAST Papers

“Graphiti: Interactive Specification of Attribute-based Edges for Network Modeling and Visualization”

Arjun Srinivasan, Hyunwoo Park, Alex Endert, and Rahul C. Basole


“ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models”

Minsuk Kahng, Pierre Andrews, Aditya Kalro, and Polo Chau

(Collaboration with Facebook; deployed on Facebook’s machine learning platform)


“VIGOR: Interactive Visual Exploration of Graph Query Results” 

Robert Pienta, Fred Hohman, Alex Endert, Acar Tamersoy, Kevin Roundy, Chris Gates, Shamkant Navathe, and Polo Chau

(Collaboration with Symantec)


"Warning, Bias May Occur: A Proposed Approach to Detecting Cognitive Bias in Interactive Visual Analytics"

Emily Wall, Leslie Blaha, Lyndsey Franklin, and Alex Endert


“Podium: Ranking Data Using Mixed-Initiative Visual Analytics“

Emily Wall, Subhajit Das, Ravish Chawla, Bharath Kalidindi, Eli T. Brown, and Alex Endert


TVCG (journal paper being presented at VIS)

“ A Metadata Collection about IEEE Visualization (VIS) Publications”

Petra Isenberg, Florian Heimerl, Steffen Koch, Tobias Isenberg, Panpan Xu, Charles Stolper, Michael Sedlmair, Jian Chen, Torsten Möller, and John T. Stasko


“Evaluating Interactive Graphical Encodings for Data Visualization”

Bahador Saket, Arjun Srinivasan, Eric Ragan, and Alex Endert

Blog Post:



“Equity Monitor: Visualizing Attributes of Health Inequity in Atlanta”

Xiaoxue Zhang, Alex Godwin, John Stasko


“CricVis: Interactive Visual Exploration and Analysis of Cricket Matches”

Ayan Das, Arjun Srinivasan, John Stasko


“Atomic Operations for Specifying Graph Visualization Techniques”

Charles D. Stolper, Will Price, Matt Sanford, Duen Horng Chau, John Stasko


“3D Exploration of Graph Layers via Vertex Cloning”

James Abello, Fred Hohman, Duen Horng (Polo) Chau


“High-Recall Document Retrieval from Large-Scale Noisy Documents via Visual Analytics based on Targeted Topic Modeling”

Hannah Kim, Jaegul Choo, Alex Endert, Haesun Park 


“PredVis: Interaction Techniques for Time Series Prediction”

Sakshi Sanjay Pratap and Alex Endert 


Workshop Papers

VisAR: Bringing Interactivity to Static Data Visualizations through Augmented Reality

Taeheon Kim, Bahador Saket, Alex Endert, Blair MacIntyre 

Workshop on Immersive Analytics


“A Viz of Ice and Fire:Exploring Entertainment Video Using Color and Dialogue”

Fred Hohman, Sandeep Soni, Ian Stewart, and John Stasko

2nd Workshop on Visualization for the Digital Humanities


“Affordances of Input Modalities for Visual Data Exploration in Immersive Environments”

Sriram Karthik Badam, Arjun Srinivasan, Niklas Elmqvist, and John Stasko

Workshop on Immersive Analytics


“Designing a Visual Analytics System for Industry-Scale Deep Neural Network Models”

Minsuk Kahng, Pierre Andrews, Aditya Kalro, and Polo Chau

Workshop on Visual Analytics for Deep Learning


“Four Perspectives on Human Bias in Visual Analytics”

Emily Wall, Leslie Blaha, Celeste Paul, Kris Cook, and Alex Endert

DECISIVe: Workshop on Dealing with Cognitive Biases in Visualizations


“Designing Breadth-Oriented Data Exploration for Mitigating Cognitive Biases”

Po-Ming Law, and Rahul Basole

DECISIVe: Workshop on Dealing with Cognitive Biases in Visualizations


Doctoral Colloquium

Alex Godwin

Bahador Saket

Emily Wall


Organizing Committee

Rahul Basole - InfoVis Program Committee

Rahul Basole - VIS Supporters Co-Chair

John Stasko - VAST Steering Committee

John Stasko - InfoVis Program Committee

Alex Endert - VIS Panels Co-Chair

Alex Endert - VAST Program Committee

Alex Endert - Workshop on Immersive Analytics Co-Organizer

Alex Endert - DECISIVe 2017: 2nd Workshop on Dealing with Cognitive Biases in Visualizations Co-Organizer

Bahador Saket - Workshop on Immersive Analytics Co-Organizer


  • Workflow Status: Published
  • Created By: Joshua Preston
  • Created: 10/03/2017
  • Modified By: Joshua Preston
  • Modified: 10/03/2017


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