Rate My Professor Ramakrishnan Durairajan

Durairajan's work addresses critical challenges such as designing measurement tools for multi-cloud network visibility, developing agile defenses against sophisticated cyberattacks like Distributed Denial of Service, and creating systems to protect internet infrastructure from natural disasters including earthquakes, floods, and climate change impacts. His NSF CAREER Award-funded project, "Argus: Measurement-informed Learning Approach to Managing Multi-cloud Networks," received $530,000 in 2022 to support research on performance optimization, privacy, and cost management in multi-cloud environments. He has earned the Ripple Faculty Fellowship, a University of Oregon Faculty Research Award, and best paper awards from ACM CoNEXT and ACM SIGCOMM GAIA. Key publications include "Lights Out: Climate Change Risk to Internet Infrastructure" (2018, ACM ANRW), "vFiber: Virtualizing Unused Optical Fibers" (2018, USENIX NSDI), "In the IP of the Beholder: Strategies for Active IPv6 Topology Discovery" (2018, ACM IMC), "ARISE: A Multi-Task Weak Supervision Framework for Network Measurements" (2022, IEEE Journal on Selected Areas in Communications), "Dynamic Scheduling of Approximate Telemetry Queries" (2022, USENIX NSDI), "Can LEO Satellites Enhance the Resilience of Internet to Multi-Hazard Risks?" (2024, PAM), and "Threading the Ocean: Mapping Digital Routes Across Submarine Cables using Calypso" (2025, ACM SIGCOMM). He leads a team of undergraduate, graduate, and PhD students in developing AI/ML-driven tools for network operations, hazard-proofing systems, and visibility into multi-cloud networks. Durairajan edited a special issue on measurements for self-driving networks in ACM SIGMETRICS Performance Evaluation Review (2023).