Ravi Sundaram

Networks
Algorithms

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

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.

Published: March 15th, 2016
The Role of Space, Time and Information in Controlling Epidemics

Lead PI: Rajmohan Rajaraman

Co PI: Ravi Sundaram

Published: June 11th, 2022
Online Paging with Heterogeneous Cache Slots

Citation: Marek Chrobak, Samuel Haney, Mehraneh Liaee, Debmalya Panigrahi, Rajmohan Rajaraman, Ravi Sundaram, Neal E. Young. (2022). Online Paging with Heterogeneous Cache Slots CoRR, abs/2206.05579. https://doi.org/10.48550/arXiv.2206.05579
Published: June 11th, 2021
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
Published: March 24th, 2021
Realization problems on reachability sequences

Citation: Matthew Dippel, Ravi Sundaram, Akshar Varma. (2021). Realization problems on reachability sequences Theor. Comput. Sci., 866, 1-13. https://doi.org/10.1016/j.tcs.2021.02.034
Published: June 11th, 2020
Attention improves concentration when learning node embeddings

Citation: Matthew Dippel, Adam Kiezun, Tanay Mehta, Ravi Sundaram, Srikanth Thirumalai, Akshar Varma. (2020). Attention improves concentration when learning node embeddings CoRR, abs/2006.06834. https://arxiv.org/abs/2006.06834
Published: October 27th, 2019
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
Published: January 1st, 2013
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