University of Bamberg
open search form
You are here

Information Systems and Applied Computer Sciences

Information Visualization

  1.  University of bamberg
  2. Faculties
  3. Information Systems and Applied Computer Sciences
  4. Subject groups
  5. Applied Computer Science
  6. Information Visualization
  7. Team
  8. Shivam Agarwal

Dr. Shivam Agarwal

E-Mail: shivam.agarwal (at) uni-bamberg (dot) de

Address: An der Weberei 5, 96047 Bamberg

Room: WE_5/05.100

Office hours: on request

About: 

He is working as a Research Associate at University of Bamberg since May 2022. He is a PhD candidate with research interest in data visualization, artificial intelligence, game analytics, and visual analytics. He is interested in visualizing the concepts learned by machine learning models, exploring intuitive visual representations of data or finding creative ways of narrating data stories, such as enriched data comics. He has developed visualizations for understanding the behaviors of trained agents in machine learning competitions (e.g., NeurIPS), which have been awarded by the community. For more details: https://s-agarwl.github.io/

If you are interested in the research and looking for a project or thesis topic, please feel free to get in touch.

 

 

Academic Activities

Publications

Agarwal, S. (2023). Visualizing Element Interactions in Dynamic Overlapping Sets. EuroVis 2023: Short Paper, 97–101.

Krause, C., Agarwal, S., Burch, M., & Beck, F. (2023). Visually Abstracting Event Sequences as Double Trees Enriched with Category‐Based Comparison. Computer Graphics Forum, 42(6, e14805), 1–12.

Liebers, C., Agarwal, S., & Beck, F. (2023). CohExplore: Visually Supporting Students in Exploring Text Cohesion. EuroVis Posters 2023.

Liebers, C., Agarwal, S., Krug, M., Pitsch, K., & Beck, F. (2023). VisCoMET: Visually Analyzing Team Collaboration in Medical Emergency Trainings. Computer Graphics Forum, 42(3), 149–160.

Agarwal, S., Ghosh, U., Beck, F., & Sreevalsan-Nair, J. (2022). CiteVis: Visual Analysis of Overlapping Citation Intents as Dynamic Sets (Paper). 1–2. https://doi.org/10.20378/irb-54949

Agarwal, S., Latif, S., Rothweiler, A., & Beck, F. (2022). Visualizing the Evolution of Multi-agent Game-playing Behaviors. EuroVis 2022 - Posters, 23–25.

Agarwal, S., Wallner, G., Watson, J., & Beck, F. (2022). Spatio-temporal Analysis of Multi-agent Scheduling Behaviors on Fixed-track Networks. 2022 IEEE 15th Pacific Visualization Symposium (PacificVis), 21–30.

Krause, C., Agarwal, S., Ghoniem, M., & Beck, F. (2021). Visual Comparison of Multi-label Classification Results. 26th International Symposium on Vision, Modeling, and Visualization, 17–26.

Latif, S., Agarwal, S., Gottschalk, S., Chrosch, C., Feit, F., Jahn, J., Braun, T., Tchenko, Y. C., Demidova, E., & Beck, F. (2021). Visually Connecting Historical Figures Through Event Knowledge Graphs. 2021 IEEE Visualization Conference (VIS), 156–160.

Agarwal, S., Auda, J., Schneegaß, S., & Beck, F. (2020). A Design and Application Space for Visualizing User Sessions of Virtual and Mixed Reality Environments. In Vision, Modeling, and Visualization.

Agarwal, S., & Beck, F. (2020). Set Streams: Visual Exploration of Dynamic Overlapping Sets. Computer Graphics Forum, 39(3), 383–391.

Agarwal, S., Herrmann, C., Wallner, G., & Beck, F. (2020). Visualizing AI Playtesting Data of 2D Side-scrolling Games. In Proceedings of IEEE Conference on Games.

Agarwal, S., Latif, S., & Beck, F. (2020). How Visualization PhD Students Cope with Paper Rejections. In IEEE Workshop Celebrating the Scientific Value of Failure (FailFest) (pp. 6–10).

Agarwal, S., Tkachev, G., Wermelinger, M., & Beck, F. (2020). Visualizing Sets and Changes in Membership Using Layered Set Intersection Graphs. In Vision, Modeling, and Visualization.

Agarwal, S., Wallner, G., & Beck, F. (2020). Bombalytics: Visualization of Competition and Collaboration Strategies of Players in a Bomb Laying Game. Computer Graphics Forum, 39(3), 89–100.

Agarwal, S., Bernard, J., & Beck, F. (2018). Computer-supported Interactive Assignment of Keywords for Literature Collections. In Proceedings of the 1st International Workshop on Machine Learning from User Interaction for Visualization and Analytics at IEEE VIS.