ABOUT

  • I am an assistant professor and director of the interactive Data Visualization Lab (iDVL) at Texas Tech University.
  • CURRENT PROJECTs

  • Virtual and Augmented Reality
  • 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 data.
  • The effects of an instructional avatar's gestures on teaching foreign languages: The goal of this project is to determine the role instructional gesturing plays in second language acquisition.
  • RESEARCH INTERESTs

  • 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.
  • EDUCATION

  • 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
  • WORK EXPERIENCE

  • 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. 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
  • INVITED TALKS

  • 2018: VR and AR in Unity. Lab Innovations with Technology. Webinar with Cal State faculty Slides
  • 2018: Data-center Automation, Analytics, and Control with Redfish. Dell EMC booth. Kay Bailey Convention Center Dallas, TX Slides DEll 2018 Dell EMC boothDell EMC booth
    Giving a talk at Dell EMC booth
  • 2018: Visualizing, Monitoring, and Automating Data Centers. Fall 2018 NSF CAC Industry Advisory Board Meeting. Dallas, TX Slides CAC 2018
  • 2017: Visualizing Biological Pathways. Bio-IT World Conference & Expo. Cambridge Healthtech Institute in Boston, MA
  • 2016: Data visualization and visual analytics. TTU Computer Science departmental seminars. Lubbock, TX
  • 2015: Feature-based Visual Analysis. Chicago Chapter ACM. Chicago, IL
  • 2014: Visualizing relationships in massive and dynamic data. Skytree tech talk. San Jose, CA
  • 2013: Interactive Visual Analysis of Images. Doctoral Colloquium, IEEE VisWeek. Atlanta, GA
  • ACTIVITIES

  • 2018-Present: Program Committee of the 12th ACM Conference on Recommender Systems and Big Data Engineering and BigEACPS'18
  • 2017-2018: Undergraduate Program Committee, Course Equivalent Evaluator, and Admission Committee
  • 2016-2017: Graduate Program Committee (Department Service)
  • 2015-2016: Website chair of the Symposium on Biological Data Visualization (BioVis 2015 and BioVis 2016)
  • Reviewer for:
    2018 Total 24 reviews
    BigEACPS'18 Big Data Engineering and Analytics in Cyber-Physical Systems 2 short + 2 full papers
    VizSec 2018 IEEE Symposium on Visualization for Cyber Security 1 paper
    VAST 2018 IEEE Visual Analytics Science and Technology 2 challenges
    SciVis 2018 The IEEE Scientific Visualization 2 short papers
    RecSys 2018 ACM Conference on Recommender Systems 6 papers
    The 10th NordiCHI Nordic forum for HCI research 1 paper
    EuroRVVV 2018 Verification and Validation in Visualization 1 paper
    EGPGV 2018 Parallel Graphics and Visualization 1 paper
    CogSci 2018 Cognitive Science Society 1 paper
    EuroVis 2018 EG/VGTC Conference on Visualization 3 papers
    PLOS ONE journal Public Library of Science 2 papers
    2017 Total 26 reviews
    PacificVis 2018 IEEE Pacific Visualization Symposium 4 papers+ 3 visualization notes
    SciVis 2017 IEEE Scientific Visualization 2 papers
    VAST 2017 IEEE Visual Analytics Science and Technology 2 papers
    InfoVis 2017 IEEE Information Visualization 2 papers
    Geospatial Open Geospatial Data, Software and Standards 2 papers
    EuroRV3 2017 EuroVis Workshop on Verification and Visualization 2 papers
    EuroVis 2017 EG/VGTC Conference on Visualization 4 papers + 2 STARs reports + 3 short papers
    2016 Total 19 reviews
    PacificVis 2017 IEEE Pacific Visualization Symposium 6 papers+ 3 visualization notes
    SciVis 2016 IEEE Scientific Visualization 1 paper
    VAST 2016 IEEE Visual Analytics Science and Technology 4 papers
    InfoVis 2016 IEEE Information Visualization 4 papers
    VIP 2016 Workshop on Visualization in Practice 1 paper
    2015 Total 9 reviews
    EuroVis 2016 EG/VGTC Conference on Visualization 5 papers
    PacificVis 2016 IEEE Pacific Visualization Symposium 3 papers
    InfoVis 2015 IEEE Information Visualization 1 paper
  • COMPUTER SKILLS

  • Programming: Javascript + D3, Java, Processing, VTK
  • Visualization Softwares: Tableau, Xmdv, ParaView
  • Databases: MongoDB, Oracle 9i, MySQL
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