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Fingerprint Dive into the research topics where Sanjeev Ramesh Kulkarni is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Wireless networks Engineering & Materials Science
Approximation algorithms Engineering & Materials Science
Markov processes Engineering & Materials Science
Sensor networks Engineering & Materials Science
Recommender systems Engineering & Materials Science
Communication Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Sampling Engineering & Materials Science

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Projects 2009 2017

Research Output 1986 2018

A Query system for efficiently investigating complex attack behaviors for enterprise security

Gao, P., Xiao, X., Li, Z., Jee, K., Xu, F., Kulkarni, S. R. & Mittal, P., Jan 1 2018, In : Proceedings of the VLDB Endowment. 12, 12, p. 1802-1805 4 p.

Princeton University

Research output: Contribution to journalConference article

Query languages
Industry
Monitoring
Semantics
Data structures
1 Citation (Scopus)

SYBILFUSE: Combining local attributes with global structure to perform robust sybil detection

Gao, P., Wang, B., Gong, N. Z., Kulkarni, S. R., Thomas, K. & Mittal, P., Aug 10 2018, 2018 IEEE Conference on Communications and Network Security, CNS 2018. Institute of Electrical and Electronics Engineers Inc., 8433147. (2018 IEEE Conference on Communications and Network Security, CNS 2018).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Classifiers
Topology

Energy efficiency of wireless cooperation

Jain, A., Kulkarni, S. R. & Verdu, S., Feb 10 2017, 54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016. Institute of Electrical and Electronics Engineers Inc., p. 664-671 8 p. 7852295. (54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Energy Efficiency
Energy efficiency
Transmitters
Vertex of a graph
Transmitter

Nonbacktracking bounds on the influence in independent cascade models

Abbe, E., Kulkarni, S. & Lee, E. J., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 1408-1417 10 p.

Princeton University

Research output: Contribution to journalConference article

Message passing
Seed
2 Citations (Scopus)
Learning systems
Signal processing
Compressed sensing
Finance
Momentum