Doctoral Colloquium

(Invitation only event)

Panelists

Wolfgang Aigner, Guoning Chen, Tim Dwyer, Niklas Elmqvist, Uta Hinrichs, Ingrid Hotz, Jessica Hullman, Carlos Scheidegger, Danielle Albers Szafir, Manuela Waldner, Bei Wang

Session 1

Using Visual embellishment in aiding design of data visualisations for non-experts
Author: Muna Alebri, University College London

Statistical Analysis and Uncertainty Visualization of Topological Descriptors
Author: Lin Yan, University of Utah

Developing an uncertainty visualisation framework: An investigation into how aesthetic factors may enhance people’s perceptions of uncertainty when making decisions from real-world data visualisations.
Author: Joel Pinney, Cardiff Metropolitan University

Revealing Perceptual Proxies in Data Visualization
Author: Brian Ondov, University of Maryland

In-Situ Steering for Progressive Visual Analytics
Author: Marius Hograefer, Aarhus University

Constructing Frameworks for Task-Optimized Visualizations
Author: Ghulam Jilani Quadri, University of South Florida, Tampa

Session 2

Expose to explain, explain to expose
Author: Beatrice Gobbo, Politecnico di Milano

Bridging the Gap Between Exploration and Explanation: Combining Text and Visualizations for Dissemination of Data Analysis Results
Author: Shahid Latif, University of Duisburg-Essen

Interpreting Black-box Machine Learning Models By Visually Exploring High-Fidelity Surrogate Rules
Author: Jun Yuan, New York University

Transparency and Interpretability for Deep Reinforcement Learning: Understanding Decision in Navigation Tasks
Author: Theo Jaunet, Ecole Centrale de Lyon

Automating Animated Transitions in Statistical Graphics
Author: Younghoon Kim, University of Washington

Visual Assistance in Model-Based Clinical Decision Support
Author: Juliane Mueller, University Magdeburg

Session 3

Collaborative 3D Data Exploration Using Augmented Reality as a Support
Author: Mickael Sereno, Universite Paris-Saclay

Designing Efficient Immersive Analytics Environments for Spatio-Temporal Data
Author: Jorge Wagner Filho, Federal University of Rio Grande do Sul

Application of Insights from Tree Visualization Design Studies towards a Novel Data- and Task-Based Tree Visualization Recommendation System
Author: Aditeya Pandey, Northeastern University

High-level specification language for domain-aware visualization of computing graphs
Author: Sabin Devkota, University of Arizona

In Search of Meaning: Exploring and Designing Infovis Tools for Art History Research
Author: Houda Lamqaddam, KU Leuven

Domain Characterization and Evaluation in Problem-Driven Visualization Research
Author: Poorna Talkad Sukumar, University of Notre Dame, Indiana