Sanguthevar Rajasekaran

Sanguthevar Rajasekaran

University of Connecticut

H-index: 43

North America-United States

About Sanguthevar Rajasekaran

Sanguthevar Rajasekaran, With an exceptional h-index of 43 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Connecticut, specializes in the field of Algorithms, Bioinformatics, Parallel Computing, High Performance Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Randomized feature selection based semi-supervised latent Dirichlet allocation for microbiome analysis

Semi-supervised machine learning for fault detection and diagnosis of a rooftop unit

Automatic Subnetwork Search Through Dynamic Differentiable Neuron Pruning

Understanding Insured Behavior through Causal Impact Analysis of IoT Streams

Latent Autoregressive Student-t Prior Process Models to Assess Impact of Interventions in Time Series

On Computing the Jaro Similarity Between Two Strings

Identifying suitable attributes for Record Linkage using Association Analysis

11th International Computational Advances in Bio and Medical Sciences (ICCABS 2021)

Sanguthevar Rajasekaran Information

University

Position

Professor of Computer Science and Engineering

Citations(all)

12219

Citations(since 2020)

2944

Cited By

10619

hIndex(all)

43

hIndex(since 2020)

22

i10Index(all)

170

i10Index(since 2020)

53

Email

University Profile Page

Google Scholar

Sanguthevar Rajasekaran Skills & Research Interests

Algorithms

Bioinformatics

Parallel Computing

High Performance Computing

Top articles of Sanguthevar Rajasekaran

Title

Journal

Author(s)

Publication Date

Randomized feature selection based semi-supervised latent Dirichlet allocation for microbiome analysis

Scientific Reports

Namitha Pais

Nalini Ravishanker

Sanguthevar Rajasekaran

George Weinstock

Dong-Binh Tran

2024/4/17

Semi-supervised machine learning for fault detection and diagnosis of a rooftop unit

Big Data Mining and Analytics

Mohammed G Albayati

Jalal Faraj

Amy Thompson

Prathamesh Patil

Ravi Gorthala

...

2023/1/26

Automatic Subnetwork Search Through Dynamic Differentiable Neuron Pruning

Zigeng Wang

Bingbing Li

Xia Xiao

Tianyun Zhang

Mikhail A Bragin

...

2023/4/5

Understanding Insured Behavior through Causal Impact Analysis of IoT Streams

Patrick Toman

Ahmed Soliman

Nalini Ravishanker

Sanguthevar Rajasekaran

Nathan Lally

...

2023/10/27

Latent Autoregressive Student-t Prior Process Models to Assess Impact of Interventions in Time Series

Future Internet

Patrick Toman

Nalini Ravishanker

Nathan Lally

Sanguthevar Rajasekaran

2023/12/28

On Computing the Jaro Similarity Between Two Strings

Joyanta Basak

Ahmed Soliman

Nachiket Deo

Kenneth Haase

Anup Mathur

...

2023/10/8

Identifying suitable attributes for Record Linkage using Association Analysis

Nachiket Deo

Sanguthevar Rajasekaran

Rany Kamel

2023/12/15

11th International Computational Advances in Bio and Medical Sciences (ICCABS 2021)

Journal of Computational Biology

Mukul S Bansal

Ion I Măndoiu

Marmar Moussa

Murray Patterson

Sanguthevar Rajasekaran

...

2023/4/1

SuperBlocking: an efficient blocking technique for record linkage

Joyanta Basak

Sartaj Sahni

Sanguthevar Rajasekaran

2023/12/15

A fast privacy-preserving patient record linkage of time series data

Scientific Reports

Ahmed Soliman

Sanguthevar Rajasekaran

Patrick Toman

Nalini Ravishanker

2023/2/25

KE: A Knowledge Enhancing Framework for Machine Learning Models

The Journal of Physical Chemistry A

Yijue Wang

Nidhibahen Shah

Ahmed Soliman

Dan Guo

Sanguthevar Rajasekaran

2023/9/29

Online Evidential Nearest Neighbour Classification for Internet of Things Time Series

International Statistical Review

Patrick Toman

Nalini Ravishanker

Sanguthevar Rajasekaran

Nathan Lally

2023/12

Improved indirect instantaneous torque control based torque sharing function approach of SRM drives in EVs using hybrid technique

ISA transactions

R Kannan

S Rajasekaran

S Daison Stallon

R Anand

2023/8/1

Novel Blocking Techniques and Distance Metrics for Record Linkage

Nachiket Deo

Joyanta Basak

Ahmed Soliman

Daniel Weinberg

Rebecca Steorts

...

2023/11/22

THD Analysis of Different Multilevel Inverter Topologies for PV Applications

JN Bhanutej

Boosharaju Ravikumar

S Rajasekaran

Neelima Kalahasthi

K Seetha Mahalakshmi

2023/12/29

COORDINATE CONTROL AND ENERGY MANAGEMENT STRATEGIES FOR A GRID-CONNECTED HYBRID SYSTEM.

i-Manager's Journal on Instrumentation & Control Engineering

S Rajasekaran

A REDDY

K Saiteja

P Rajesh

P Vikas

2022/1/1

Variance of the gradient also matters: Privacy leakage from gradients

Yijue Wang

Jieren Deng

Dan Guo

Chenghong Wang

Xianrui Meng

...

2022/7/18

Predicting band gaps and band-edge positions of oxide perovskites using density functional theory and machine learning

Physical Review B

Wei Li

Wang Zigeng

Xia Xiao

Zhiqiang Zhang

Anderson Janotti

...

2022/10/28

Machine Learning Techniques in Structure-Property Optimization of Polymeric Scaffolds for Tissue Engineering

EPiC Series in Computing

Zigeng Wang

Xia Xiao

Syam Nukavarapu

Sangamesh Kumbar

Sanguthevar Rajasekaran

2022/3

FIRLA: a Fast Incremental Record Linkage Algorithm

Journal Of Biomedical Informatics

Ahmed Soliman

Sanguthevar Rajasekaran

2022/6/1

See List of Professors in Sanguthevar Rajasekaran University(University of Connecticut)