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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. (2024). Exploring Complex Group Dynamics: Visual Analysis of Overlapping Groups and Interactions Over Time [DuEPublico: Duisburg-Essen Publications online, University of Duisburg-Essen, Germany]. https://doi.org/10.17185/duepublico/81425

Pron, M., Agarwal, S., Poddar, M., & Beck, F. (2024). Comparative Analysis of Timeline-based Visualizations for Dynamic Overlapping Sets. EuroVis 2024: Short Papers. EuroVis, Odense, Denmark. https://doi.org/10.2312/evs.20241074

Agarwal, S. (2023). Visualizing Element Interactions in Dynamic Overlapping Sets. EuroVis 2023: Short Paper, 97–101. https://doi.org/10.2312/evs.20231050

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. https://doi.org/10.1111/cgf.14805

Liebers, C., Agarwal, S., & Beck, F. (2023). CohExplore: Visually Supporting Students in Exploring Text Cohesion. EuroVis Posters 2023. EuroVis 2023, 25th EG Conference on Visualization, June 12 - 16, 2023, Leipzig. https://doi.org/10.2312/evp.20231058

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. https://doi.org/10.1111/cgf.14819

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. https://doi.org/10.2312/EVP.20221111

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. https://doi.org/10.1109/PacificVis53943.2022.00011

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. https://doi.org/10.2312/vmv.20211367

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. https://doi.org/10.1109/VIS49827.2021.9623313

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. https://doi.org/10.2312/vmv.20201194

Agarwal, S., & Beck, F. (2020). Set Streams: Visual Exploration of Dynamic Overlapping Sets. Computer Graphics Forum, 39(3), 383–391. https://doi.org/10.1111/cgf.13988

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. https://doi.org/10.1109/CoG47356.2020.9231915

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). https://doi.org/10.1109/FailFest51498.2020.00006

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. https://doi.org/10.2312/vmv.20201189

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. https://doi.org/10.1111/cgf.13965

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.