Workshop (Pacific VAST)

IEEE Pacific VAST 2016 Program (April 19, 2016)

Chairs: Jiawan Zhang and Klaus Mueller

08:30 – 10:00 Traffic and cities

Location: IB-101
Chair: Klaus Mueller (Stony Brook University)

  • Interactive Visual Analysis for Vehicle Detector Data 25 min
    YuShuen Wang (National Chiao Tung University)

  • Embedding Spatio-temporal Information into Maps by Route-Zooming 25 min
    Yingcai Wu (Zhejiang University)

  • Sparse Trajectories Visual Analysis 25 min
    Xiaoru Yuan (Peking University)

  • Panel (all) 15 min

10:30 – 12:00 Looking deeper

Location: IB-101
Chair: Jiawan Zhang (Tianjin University)

  • CAVER Analyst: Visual Analysis and Exploration of Tunnels in Protein Molecules 25 min
    Barbora Kozlikova (Masrayk University)

  • Reflections on Dimensionality Reduction for Visual Analytics: strengths, weaknesses and perspectives 25 min
    Michael Aupetit (Qatar Computing Research Institute)

  • Speculations on Augmented Reality and Tangible Interfaces for Visual Analytics 25 min
    Michael McGuffin (École de Technologie Supérieure)

  • Panel (all) 15 min

14:00 – 15:30 Special session: Causal Reasoning in VAST

Location: IB-101
Chair: Koji Koyamada (Kyoto University)

  • Tutorial: Causality and visualization 15 min
    Shiro Tanaka (Kyoto University)

  • Causality network of biological data 20 min
    Shuichi Onami (RIKEN)

  • Causal reasoning in a time-varying volume dataset 20 min
    Koji Koyamada (Kyoto University)

  • The Visual Causality Analyst 20 min
    Klaus Mueller (Stony Brook University)

  • Panel (all) 15 min

16:00 – 17:30 Logs and text

Location: IB-101
Chair: Kwan-Liu Ma

  • CatVis: Interactive Visualization and Analysis of Very Large GLAM Data 25 min
    Bettina Speckmann (TU Eindhoven)

  • In-Situ Analytics: Using Word-Sized Visualizations for Integrated Data Analysis 25 min
    Fabian Beck (University of Stuttgart)

  • Visual Inspection and Analysis of Events and Performance Logs in Apache Spark System 25 min
    Wei Chen (Zhejiang University)

  • Panel (all) 15 min