Profile picture of Ram Durairajan

Ram Durairajan

Associate Professor
Computer Science
Phone: 541-346-4425
Office: 332 Deschutes
Office Hours: T 3-4pm
Research Interests: Computer Networking, Multi-cloud Computing, Internet Data Science, Programmable Optics, Cybersecurity


Ramakrishnan (Ram) Durairajan is an Associate Professor in the School of Computer and Data Sciences, and co-directs the Oregon Networking Research Group (ONRG) at the University of Oregon. Ram earned his Ph.D. and M.S. degrees in Computer Sciences from the University of Wisconsin - Madison and his B.Tech. in Information Technology from the College of Engineering, Guindy (CEG), Anna University.

Ram has been leading a team of super-talented graduate and undergraduate students in federal, university, and industry research projects totaling over $5 Million. He has published over 50 peer-reviewed papers in various conferences, journals, and workshops. His research has been recognized with several awards including the NSF CAREER award, NSF CRII award, Ripple faculty fellowship, UO faculty research award, best paper awards from ACM CoNEXT and ACM SIGCOMM GAIA, and has been covered in several fora (NYTimes, MIT Technology Review, Popular Science, Boston Globe, Gizmodo, Mashable, among others). Recently, his research on Internet topology has been named as "One of the 100 Greatest Innovations" and has won a number of awards including the "Best of What's New" (in security category) by the Popular Science Magazine.

Ram routinely serves as a technical advisor and consultant for startups and companies on a wide variety of networking and cybersecurity issues including network monitoring and analytics, network data science, cloud networking, secure network architectures, among others.


  • B.Tech. in Information Technology, College of Engineering - Guindy, 2010.
  • M.S. in Computer Sciences, University of Wisconsin - Madison, 2014.
  • Ph.D. in Computer Sciences, University of Wisconsin - Madison, 2017.

Research Interests

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).