Vaibhav Bajpai is a professor and research leader with 15 years of experience specializing in data-intensive internet computing and applied network measurement. He currently heads the Data-intensive Internet Computing group at the Hasso Plattner Institute and the University of Potsdam, after leading an independent Helmholtz AI research group at CISPA. His background spans strong academic foundations—a PhD from Jacobs University Bremen—and practical systems work dating back to early industry experience at Infosys. Vaibhav blends rigorous research with hands-on tooling: he has contributed to the widely used mtr network diagnostic tool by extending its CSV output and enhancing data fidelity for large-scale measurements. He frequently collaborates internationally, with visiting researcher stints at Columbia, Max Planck, CAIDA and TUM, reflecting a networked approach to internet measurement and security. Known for translating measurement insights into reproducible tools and datasets, he focuses on making complex network data both usable and actionable.
14 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Jacobs University Bremen
Official repository for mtr, a network diagnostic tool
Role in this project:
Back-end Developer
Contributions:13 commits in 3 days
Contributions summary:Vaibhav primarily focused on enhancing the functionality of the mtr network diagnostic tool, specifically adding CSV output capabilities. They implemented the `--csv` argument and modified the output format to include various data points like timestamps, hostnames, and ping statistics. Additionally, they incorporated file locking for CSV results written to files and addressed issues related to service name handling and AS lookups. This work centered on extending mtr's output options and data presentation capabilities.
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Vaibhav Bajpai - Professor at Hasso Plattner Institute