Ravi Sundaram

Professor

Ravi Sundaram

Research interests

  • Networks
  • Algorithms

Education

  • PhD in Electrical Engineering and Computer Science, Massachusetts Institute of Technology
  • MS in Electrical Engineering and Computer Science, Massachusetts Institute of Technology
  • BTech in Computer Science and Engineering, Indian Institute of Technology — India

Biography

Ravi Sundaram is a professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston.

Sundaram is primarily interested in network performance and approximation algorithms for the design and efficient use of networks. He enjoys devising efficient schemes to improve the performance of network-based applications and validating their use through innovative systems implementations. Additionally, Sundaram is interested in network security and game theoretic aspects of network usage, and has previously worked in complexity theory and combinatorics.

Prior to joining Northeastern in 2003, Sundaram worked as a director of engineering at Akamai Technologies, where he played a critical role building out the world’s leading content delivery network. There, he established the mapping group responsible for directing over 10 billion browser requests per day to the optimal Akamai server.

Projects

Recent publications

  • Maygh: building a CDN from client web browsers

    Citation: Liang Zhang, Fangfei Zhou, Alan Mislove, and Ravi Sundaram. 2013. Maygh: building a CDN from client web browsers. In Proceedings of the 8th ACM European Conference on Computer Systems (EuroSys '13). ACM, New York, NY, USA, 281-294. DOI=http://dx.doi.org/10.1145/2465351.2465379
  • Nexus: a GPU cluster engine for accelerating DNN-based video analysis

    Citation: Haichen Shen, Lequn Chen, Yuchen Jin, Liangyu Zhao, Bingyu Kong, Matthai Philipose, Arvind Krishnamurthy, Ravi Sundaram. (2019). Nexus: a GPU cluster engine for accelerating DNN-based video analysis SOSP, 322-337. https://doi.org/10.1145/3341301.3359658
  • PAC-Learning for Strategic Classification

    Citation: Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao. (2021). PAC-Learning for Strategic Classification ICML, 9978-9988. http://proceedings.mlr.press/v139/sundaram21a.html

Related News

Current PhD Students

Previous PhD Students

  • Albert Cheu

  • Bochao Shen

  • Matthew Dippel