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
  • Dynamic Network visualization: Developing visual systems for interacting with biological networks across multiple layers of abstraction.
  • Visual features and automatic visualizations: Adapting 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.
  • And more...
  • 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
  • 2017-2018: Consultant in computational visualization for Wave Computing, Santa Clara, CA
  • 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

  • 2021: Multivariate time series Analysis. Distinguished Computer Science Colloquium. New Mexico Tech, NM appreciation letter
  • 2021: Introduction to Computer Science. WCOE 2021 Summer Camp. Faculty talk
  • 2020: Visual Analytics for high-dimensional and time-series. Spring 2020 NSF CAC Industry Advisory Board. Keynote Speech (Online) Slides CAC 2018
  • 2020: Multidimensional Time Series Visualization. TTU Computer Science departmental seminars. Lubbock, TX
  • 2020: Introduction to Computer Science. WCOE 2020 Summer Camp. Faculty talk (Online) Slides CAC 2018
  • 2019: Visual analytics and Virtual Reality. The Cognition & Cognitive Neuroscience area of Experimental Psychology. Lubbock, TX Slides DEll 2018
  • 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. Denton, 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

  • 2021: Reviewer for DOE, The Office of Advanced Scientific Computing Research (ASCR) within the Department of Energy Office of Science.
  • 2021: Program Committee of ACM PEARC21, EnVirVis 2021, ISVC 2021.
  • 2020-2021: Topic editor for MDPI Sensor journal.
  • 2020: Reviewer for NSF the CCRI Program.
  • 2020: IPC of IMMM 2020, EnVirVis 2020 , ISVC 2020, VDS 2020, and ACM Conference on Recommender Systems
  • 2019: Program Committee of the 13th ACM Conference on Recommender Systems, The IEEE International Workshop on Deep Analysis of Data-Driven Applications, and The 2019 International Workshop on Big Social Media Data Management and Analysis
  • 2018: 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:
    2021 Total 15 reviews
    TVCG 2021 IEEE Transactions on Visualization and Computer Graphics 1 paper
    VISxAI 2021 Visualization for AI Explainability 3 papers
    ISVC 2021 Symposium on Visual Computing 2 papers
    VIS 2021 IEEE Information Visualization 1 short + 1 full papers
    EnvirVis 2021 Visualization in Environmental Sciences 2021 workshop 1 paper
    Journal Supercomputing International Journal of High-Performance Computer 1 paper
    ACM PEARC21 Practice & Experience in Advanced Research Computing Conference 5 tutorials
    2020 Total 20 reviews
    MDPI Sensor Sensors (ISSN 1424-8220; CODEN: SENSC9) 1 paper
    ACM CHI 2021 Human Factors in Computing Systems - Papers Track 1 paper
    VISxAI at IEEE VIS Visualization for AI Explainability 2 papers
    PLOS ONE journal Public Library of Science 1 paper
    IMMM 2020 Advances in Information Mining and Management 1 paper
    RecSys 2020 14th ACM Conference on Recommender Systems 5 papers
    ISMAR 2020 IEEE International Symposium on Mixed and Augmented Reality 1 paper
    VIS 2020 IEEE Information Visualization 3 papers
    VARE 2020 VR/AR in Education 1 paper
    IEEE Access Twitter of COVID-19 pandemic 2 papers
    ACM IMX 2020 Interactive Media Experiences Conference 1 paper
    Computers Graphics Computers & Graphics and Visual Computing 1 paper
    2019 Total 24 reviews
    PLOS ONE journal Public Library of Science 1 paper
    CHI 20 The ACM CHI Conference on Human Factors in Computing Systems 2 papers
    BigEACPS'19 Big Data Engineering and Analytics in Cyber-Physical Systems 2 papers
    VAST 2019 IEEE Visual Analytics Science and Technology 4 challenges
    RecSys 2019 ACM Conference on Recommender Systems 3 papers
    InfoVis 2019 IEEE Information Visualization 1 paper
    DADA IEEE Workshop on Deep Analysis of Data-Driven Applications 3 papers
    INTERACT The 17th IFIP TC.13 International Conference on HCI 1 paper
    EuroVis EG/VGTC Conference on Visualization 1 paper
    GI 19 Graphics Interface 2019 2 papers
    IEEE VR 2019 IEEE Conference on Virtual Reality and 3D UI 4 papers
    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 + 3 short
    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
  • Committee member for:
    Date Title Student Program Role
    2021 June 24 Integrating visual analytics and machine learning approaches
    for analyzing multivariate proximal sensor data
    Vung Pham PhD defense Committee Chair
              Mar 18 Gene-NE: A Computational Assessment of the evolution of
    gene names mined from the text of the biomedical literature
    Lauren Kirsch MS Thesis
    in Biotechnology
    Committee Co-Chair
    2020 Oct 8 Network Visual Analytics of Object Detection Model Jian Guo MS Project Committee Chair
             Oct 5 Scaling MapReduce-based Big Data Analytics Algorithms G. Chalumporn PhD defense Committee Member
             Oct 2 Instilling Computational Thinking through AR Vinh Nguyen PhD defense Committee Chair
             Jul 9 Using Graph Theory to Investigate Underlying Patterns Jake Gonzalez MS Project Committee Chair
             Jun 22 Real-time Sound Visualization Nhat Le MS thesis Committee Chair
             Jun 17 Deep Evidential Reinforcement Learning Moi Chatterjee PhD defense Committee member
             Mar 26 CPU Thermal Predictive Analysis for Data Centers Dheeraj Cidda MS Project Committee member
    2019 Nov 15 Combining Stateless and Stateful Services in Microservice Jordan Hudgens MS Project Committee member
             Oct 14 Big Data Stream Analytics with AI Techniques Vibhuti Gupta PhD in CS Committee member
             Jun 24 Improving Objects Recognition through FFT... Varsha Nair MS thesis in CS Committee member
             Apr 15 Extending swift and robust prompted navigation... Abhishek Kumar MS Project Committee member
             Mar 27 Visual Analytics of Multidimensional Immersive HPCC Lino Virgen MS thesis in CS Committee Chair
    2018 Jun 12 Copula Regression and Robustness Quan Hoang PhD in Mathematics External committee
             Jun 6 A Machine Learning-based Security Vulnerability... Ahmad Aseeri PhD in CS Committee member

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