Harsh Gondaliya
Harsh worked with CAIDA at UC San Diego from April through September 2023, first as a Graduate Student Researcher and then as a short term Computational and Data Science Researcher. His work focused on Internet measurement and geolocation of IP infrastructure. In particular, he developed an automated measurement pipeline supporting RTT constraint-based geolocation of IP infrastructure, and set up active measurement pipelines from public cloud platforms. His contributions supported CAIDA’s AVOID research project), led by PI Alexander Marder, which proposed automated verification of Internet data-paths to defend critical communications in the 5G ecosystem. This work seeded the subsequent CAIDA AVOID-5G effort.
Background
Harsh joined CAIDA as a Master’s Student in Computer Science at UCSD, graduating in June 2023. Prior to CAIDA, he interned at Meta on the Network Engineering team and served as a Graduate Teaching Assistant for CSE 123 Computer Networks at UCSD with CAIDA collaborator Aaron Schulman.
Harsh was with CAIDA until September 2023.

