Vaibhav Bajpai

Professor at Hasso Plattner Institute

Germany
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Summary

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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.
code14 years of coding experience
job8 years of employment as a software developer
bookDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Jacobs University Bremen
languagesEnglish, Hindi, German
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Github Skills (21)

git10
c1110
c1710
git-clone10
command-line-interface9
file-handling8
file-processing8
file-access8
formatting8
data-format8
fileio8
data-formats8
version-control7
socket6
mercurial6

Programming languages (3)

CJupyter NotebookPython

Github contributions (5)

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traviscross/mtr

May 2013 - May 2013

Official repository for mtr, a network diagnostic tool
Role in this project:
userBack-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.
mtrltetelecom4gdiagnostic
vbajpai/mastersthesis

Dec 2011 - Aug 2012

Contributions:148 commits in 8 months
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Vaibhav Bajpai - Professor at Hasso Plattner Institute