Sanguthevar Rajasekaran
Department Head & Distinguished Professor/Computing
Storrs Mansfield
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Scholarly Contributions
239 Scholarly Contributions
Efficient Algorithms for Computing With Protein-Based Volumetric Memory Processors
2011
Research Type: Journal Article
Efficient Algorithms for Finding the Closest l-mers in Biological Data
2018
Research Type: Journal Article
Efficient Algorithms for the Three Locus Problem in Genome-Wide Association Study
2024
Research Type: Conference Proceedings
Efficient Algorithms for the Two Locus Problem in Genome-Wide Association Study
Research Type: Conference Proceedings
Efficient Approximate Algorithms for the Closest Pair Problem in High Dimensional Spaces
2024
Research Type: Conference Proceedings
Efficient Pipeline Architectures for Underwater Big Data Analytics
2024
Research Type: Conference Proceedings
Efficient Record Linkage Algorithms Using Complete Linkage Clustering
2016
Research Type: Journal Article
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra
2024
Research Type: Conference Proceedings
Efficient Sequential and Parallel Algorithms for Incremental Record Linkage Using Complete Linkage Clustering
2024
Research Type: Conference Proceedings
Efficient Sequential and Parallel Algorithms for Incremental Record Linkage, Computational Advances in Bio and Medical Sciences - 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15-17, 2019, Revised Selected Papers
2024
Research Type: Conference Proceedings
Efficient Sequential and Parallel Algorithms for Planted Motif Search
2014
Research Type: Journal Article
Efficient Software Reliability Analysis With Correlated Component Failures
2013
Research Type: Journal Article
Efficient System Reliability with Correlated Component Failures
2024
Research Type: Conference Proceedings
Efficient algorithms for error correction and compression of NGS data
2024
Research Type: Conference Proceedings
Efficient algorithms for fast integration on large data sets from multiple sources
2012
Research Type: Journal Article