Sanguthevar Rajasekaran
Department Head & Distinguished Professor/Computing
Storrs Mansfield
Are you Sanguthevar Rajasekaran?
How to update your information.
Scholarly Contributions
239 Scholarly Contributions
The Use of Graph Matching Algorithms to Identify Biochemical Substructures in Synthetic Chemical Compounds: Application to Metabolomics
2012
Research Type: Other Scholarly Work
Adaptive Power Controlled Routing for Underwater Sensor Networks
2012
Research Type: Poster/Presentation
"Fast GPU algorithms for endmember extraction from hyperspectral images"
2012
Research Type: Poster/Presentation
“PADP: Prediction Assisted Dynamic Surface Gateway Placement For Mobile Underwater Networks”
2012
Research Type: Poster/Presentation
Many-to-Many Game Theoretic Approach to Measuring Transportation Network Vulnerability
2011
Research Type: Digital and Electronic Media, Social Media, Blog, Podcast, Magazine/Trade Publication
Efficient Algorithms for Computing With Protein-Based Volumetric Memory Processors
2011
Research Type: Journal Article
PMS5: an efficient exact algorithm for the (l, d)-motif finding problem
2011
Research Type: Journal Article
A memory-efficient data structure representing exact-match overlap graphs with application for next-generation DNA assembly
2011
Research Type: Journal Article
Securing America’s Future Transportation Infrastructure: Network Vulnerability and High-Speed Rail
2011
Research Type: Journal Article
Efficient out-of-core sorting algorithms for the Parallel Disks Model
2011
Research Type: Journal Article
Improved algorithms for parsing ESLTAGs: a grammatical model suitable for RNA pseudoknots.
2010
Research Type: Journal Article
Photochemical and thermal stability of green and blue proteorhodopsins: implications for protein-based bioelectronic devices.
2010
Research Type: Journal Article
Faster Greedy Algorithms for Multiple Degenerate Primer Selection
2008
Research Type: Other Scholarly Work
Identifying offline muscle strength profiles sufficient for short-duration FES-LCE exercise: a PAC learning model approach.
2006
Research Type: Journal Article