• 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

  • 2016: [J5] Tuan Dang, Nick Pendar, and Angus Forbes. TimeArcs: Visualizing Fluctuations in Dynamic Networks. Computer Graphics Forum 35(3), EuroVis 2016. DOI
  • 2014: [J4] Tuan Dang and Leland Wilkinson. Transforming Scagnostics to Reveal Hidden Features. IEEE Transactions on Visualization and Computer Graphics 20(12), VAST 2014. DOI
  • 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. DOI
  • 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. DOI

  • 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)
  • Reviewer for:
    1. 2015: IEEE Information Visualization, InfoVis 2015 (1 paper)
    2. 2015: IEEE Pacific Visualization Symposium, PacificVis 2016 (3 papers)
    3. 2015: EG/VGTC Conference on Visualization, EuroVis 2016 (5 papers)
    4. 2016: IEEE Scientific Visualization, SciVis 2016 (1 paper)
    5. 2016: IEEE Visual Analytics Science and Technology, VAST 2016 (4 papers)
    6. 2016: IEEE Information Visualization InfoVis 2016 (4 papers)
    7. 2016: Workshop on Visualization in Practice VIP 2016 (1 paper)

  • Programming: Javascript + D3, Java, Processing, VTK
  • Visualization Softwares: Tableau, Xmdv, ParaView
  • Databases: MongoDB, Oracle 9i, MySQL
  • TuanDang CV     Linked profile     Google Scholar     Github