Hi! I'm Frederik Dennig, a postdoctoral researcher at the Data Analysis and Visualization Group at the University of Konstanz in Germany.
Highlights
I worked on multiple research projects in the public and private sector. The following overview presents a selection of public projects and prototypes that I created or helped to actualize.
About Me
Research Interests: My passion is Data Analysis and Visual Analytics. My research encompasses Interactive Data Visualization, Feature-based Subspace Analysis, Visual-Interactive Machine Learning, and Visual Analytics for Cyber Security.
CV: Before my current work as a PostDoc Researcher at the Data Analysis and Visualization Group at the University of Konstanz, I received my PhD in Computer Science in 2024 and my M.Sc. in Computer and Information Science in 2019 from the University of Konstanz.
Personal Interests: In my spare time, I like to go hiking around the beautiful Lake Constance and the Alps. Another interest of mine is to fly FPV quadcopter, which allows for a first-person perspective while performing exciting maneuvers. I also volunteer at a local church.
Publications
Evaluating Autoencoders for Parametric and Invertible Multidimensional Projections
16th International EuroVis Workshop on Visual Analytics (EuroVA), 2025.
Computers & Graphics 129, 104234, 2025.
Measure-Driven Visual Analytics of Categorical Data
Dissertation. Konstanz, Germany: University of Konstanz, 2024.
The Categorical Data Map: A Multidimensional Scaling-Based Approach
IEEE Visualization in Data Science (VDS), 25–34, 2024.
Exploring the Design Space of BioFabric Visualization for Multivariate Network Analysis
Computer Graphics Forum 43.3, e15079, 2024.
Inverting Multidimensional Scaling Projections Using Data Point Multilateration
15th International EuroVis Workshop on Visual Analytics (EuroVA), 2024.
cPro: Circular Projections Using Gradient Descent
15th International EuroVis Workshop on Visual Analytics (EuroVA), 2024.
FS/DS: A Theoretical Framework for the Dual Analysis of Feature Space and Data Space
IEEE Transactions on Visualization and Computer Graphics 30.8, pp. 5165–5182, 2024.
Comparative Evaluation of Animated Scatter Plot Transitions
IEEE Transactions on Visualization and Computer Graphics 30.6, pp. 2929–2941, 2024.
An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling
16th International Conference on Quality of Multimedia Experience (QoMEX), pp. 278–281, 2024.
Exploring Trajectory Data in Augmented Reality: A Comparative Study of Interaction Modalities
IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 790–799, 2023.
Machine learning meets visualization - Experiences and lessons learned
it - Information Technology 64.4–5, pp. 169–180, 2022.
Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers
IEEE Visualization in Data Science (VDS), pp. 6–16, 2022.
IEEE Symposium on Visualization for Cyber Security (VizSec), pp. 79–83, 2021.
Visualizing Linguistic Change as Dimension Interactions
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, pp. 272–278, 2019.
FDive: Learning Relevance Models using Pattern-based Similarity Measures
Proceedings of IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 69–80, 2019.
Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters
Proceedings of the IEEE Visualization Conference (VIS), pp. 86–90, 2019.
HistoBankVis: Detecting Language Change via Data Visualization
Proceedings of the NoDaLiDa 2017 Workshop on Processing Historical Language, pp. 32–39, 2017.