Ram takes a data-driven networking approach to building a more robust Internet. To this end, Ram and his students are developing innovative techniques and tools (e.g., using AI/ML, statistics, etc.) to empirically measure the network infrastructures; and building systems informed by those measurements to address intrinsic threats (e.g., terabit DDoS attacks) and extrinsic threats (e.g., climate change and naturally occurring disasters).
For a complete list of projects, see here. See publications page for additional details.
Ongoing projects:
- (NSF CNS-2145813) Multi-cloud network management
- (NSF OAC-2126281) Democratizing network data science
- (NSF SaTC-2132651) Cross-layer programmable defenses for terabit DDoS
- (NSF CICI-2319944) Cross-boundary monitoring of hazard CI and workflows
- (NSF CNS-2212590) Distributed dataplane runtime telemetry
- (ISOC) Impacts of climate change on Internet infrastructures
Completed projects:
Acknowledgements:
Our research is generously funded by multiple NSF grants, a Ripple faculty fellowship, an ISOC foundation grant, and a UO faculty research award. We are grateful to these funding agencies for their support.