I'm starting a new position as assistant professor at Texas Tech University, beginning Fall 2016.
Two fully funded Phd positions are opened at data visualization lab at TTU. Please email me if interested.
Network visualization: Developing visual systems for interacting with biological networks across multiple layers of abstraction.
Visual features: Adapting/extending/using visual features to cluster and provide an meaningful overview of complex networks.
Developing methods and tools for visual analytics - an integrated approach combining visualization, human factors and data analysis to derive insight from massive, dynamic, and ambiguous data.
2010-2014: Phd in Computer Science, University of Illinois at Chicago. My PhD advisor was Prof. Leland Wilkinson
2008-2009: M.Sc. in Computer Science, University of Illinois at Chicago
2006-2008: M.Sc. in Computer Engineering, Politecnico di Milano, Italy
2001-2006: B.Sc. in Computer Science, University of Technology, Vietnam
2016-Present: Assistant Professor at Texas Tech University, Lubbock, Texas
2014-2016: Postdoctoral researcher at Electronic Visualization Laboratory, Chicago
2015-2016: Consultant in network visualization for Objectivity Inc., San Jose, CA
2014-2015: Consultant in data visualization for Skytree Inc. - The Machine Learning Company
2008-2014: Research assistant in the Computer Science Department at University of Illinois at Chicago
SELECTED JOURNAL PUBLICATIONS
2016: [J5] Tuan Dang, Nick Pendar, and Angus Forbes. TimeArcs: Visualizing Fluctuations in Dynamic Networks. Computer Graphics Forum 35(3), EuroVis 2016.
2014: [J4] Tuan Dang and Leland Wilkinson. Transforming Scagnostics to Reveal Hidden Features. IEEE Transactions on Visualization and Computer Graphics 20(12), VAST 2014.
2012: [J3] Tuan Dang, Anushka Anand, and Leland Wilkinson. TimeSeer: Scagnostics for High-Dimensional Time Series. IEEE Transactions on Visualization and Computer Graphics 19(3), TVCG 2012.
2010: [J1] Tuan Dang, Leland Wilkinson, and Anushka Anand. Stacking Graphic Elements to Avoid Over-Plotting. IEEE Transactions on Visualization AndComputer Graphics 16(6), InfoVis 2010.
2016: Visualizing relationships in massive and dynamic data. Collaborative Conference on Big Data (CCBD). Las Vegas, NV
2015: Feature-based Visual Analysis. Chicago Chapter ACM. Chicago, IL
2014: Feature-based Visual Analysis. Skytree tech talk. San Jose, CA
2013: Interactive Visual Analysis of Images. Doctoral Colloquium, IEEE VisWeek. Atlanta, GA
Website chair of the Symposium on Biological Data Visualization (BioVis 2015 and BioVis 2016)
- 2015: IEEE Information Visualization, InfoVis 2015 (1 paper)
- 2015: IEEE Pacific Visualization Symposium, PacificVis 2016 (3 papers)
- 2015: EG/VGTC Conference on Visualization, EuroVis 2016 (5 papers)
- 2016: IEEE Scientific Visualization, SciVis 2016 (1 paper)
- 2016: IEEE Visual Analytics Science and Technology, VAST 2016 (4 papers)
- 2016: IEEE Information Visualization InfoVis 2016 (4 papers)
- 2016: Workshop on Visualization in Practice VIP 2016 (1 paper)
Visualization Softwares: Tableau, Xmdv, ParaView
Databases: MongoDB, Oracle 9i, MySQL