Research
- Visual Analytics
- Information Visualization
- Blockchain Data
- Decentralized Finance
- Network Science
Favoritenstraße 9-11, A-1040 Vienna, Austria
My research focuses on visual analytics, with a particular interest in the visualization of networks, time, space, and uncertainty. I received my Ph.D. in Computer Science from Université Paris-Saclay in 2022, with a thesis on visual analytics for exploring and monitoring Bitcoin blockchain data. Before joining CVAST, I was a postdoctoral researcher at École Polytechnique and a member of the Blockchain@X Research Center, where I worked on extracting, analyzing, and visualizing data from blockchain and decentralized finance (DeFi), with a focus on evaluating systemic risks in decentralized lending protocols.
| Title | Scope | Area |
|---|---|---|
| DeFiVis: Visual Analytics for Decentralized Finance Protocol | SE, BA, PR, MA | Information Visualization (IV), Visual Analytics (VA) |
| Visualization of Money Flows in Blockchain Transaction Networks | SE, BA, PR, MA | Information Visualization (IV), Visual Analytics (VA) |
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Natkamon Tovanich, Raphael Arthur Buchmüller, Velitchko Filipov, Fatih Öztank, Ignacio Baltazar Pérez Messina, Sandhya Rajendran, Wolfgang Aigner, Silvia Miksch, "Visual Analytics", Wintergraph 2026, 2026. |
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Natkamon Tovanich, Teppakorn Thanuthanad, Sandhya Rajendran, Velitchko Filipov, Silvia Miksch, Petra Isenberg, "VisConflicts: Visualizing Conflicts of Interest in Conference Reviewing", IEEE VIS 2025, 2025. |
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Natkamon Tovanich, Rémy Cazabet, Célestin Coquidé, "From Actions to Actors to Strategies: A Multi-Scale Network Approach to Decoding On-Chain Behavior", DeFi Workshop 2025, 2025. |
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Natkamon Tovanich, Madalina I. Sas, Christophe Lebrun, Munthitra Thadthapong, William J. Knottenbelt, Arnaud Gaudinat, Marco Mattavelli, "SoK: Unified Blockchain Data Structure", The 7th International Conference on Blockchain Computing and Applications (BCCA 2025), 2025. |