Center for Visual and Decision Informatics

Christoph Borst’s research and teaching focus on interaction and visualization. He worked on visual, audio, and haptic interfaces for various applications including geological dataset studies, VR-based training systems, and predictive displays for remote robots. His contributions in these areas include improved interaction techniques, new visual rendering techniques, human factors studies to understand and optimize interface elements, and framework and software development for emerging display and interaction devices. His teaching has included computer graphics, visualization techniques, virtual reality, and 3D interaction.

Graph Sampling, Summarization, and Touch-Based Visual Analytics for Large Complex Systems 15.4
Visual Analytic Methods for Dynamic Graphs
EAGER: US IGNITE: Collaborative Exploration in Networked VR Environments, and Application to Remotely-Guided Classroom
Interactive Visual Exploration of Large Graphs with Enhanced Sampling and Summarization 16.10

Privacy-aware Stress & Activity Recognition Using Wearables in Hospitals – 9a.008.UL
Visual Analytics of Real-time Hospital Emergency Department Operations: A Human-Centric Approach 8a.006.UL
Enabling Mobile Visual Analytics 6a.050.UL
13.3 - Visual Analytic Approaches to Mining Large-Scale Time-Evolving Graphs
Real-Time Analysis and Visualization of Multi-dimensional Sensor Data

12.5 - Real-Time Analysis and Visualization of Multi-Dimensional Sensor Data

Publications

List of publications - https://scholar.google.com/citations?hl=en&user=AJJ0vS8AAAAJ&view_op=list_works&sortby=pubdate

Link to more publications - https://vrlab.cmix.louisiana.edu/publications/