Esther Daniel
VIDWAN ID: 356407

Dr Esther Daniel

Female Doctor of Philosophy
Associate Professor | Computer Science and Engineering
Karunya Institute of Technology and Sciences, Coimbatore
Tamil Nadu
Expertise: Computer Science Information Systems
64 Publications
0 Projects
341 Scopus Citations
246 CrossRef
18 Years 3 Months Total Experience
Publications
64 Total
Articles
23
Books
2
Chapters
8
Proceedings
31
Activity

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Scopus Scopus
341 Citations
7 h-index
CrossRef CrossRef
246 Citations
7 h-index
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Personal Details

Doctor of Philosophy
2020
Sultan Qaboos University, Muscat
Associate Professor
Jun 2008 – Present
Karunya Institute of Technology and Sciences, Coimbatore | Computer Science and Engineering
Engineering and Technology
Computer Science Information Systems

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Scholarly Work

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Scholarly Publications

Enhancing Storage Efficiency for Health Data Records through Block chain-Based Storj Mechanism

Conference Paper
Year: 2024.
Authors: Joseline Niranjana; Esther Daniel; S. Durga; V Kathiresan

FOOD-GUARD: A Blockchain-Enabled Multi-Layer Detection Framework for Hybrid Attacks in Food Supply Chain Security

Conference Paper
Year: 2026. Pages: 1760-1767 .
Authors: Uvaana Falicica J; Esther Daniel; S. Salaja; S. Seetha

Vector-Quantized multi-gained attention-based image generation using sparse swin transformer model

Conference Paper
AIP Conference Proceedings. Year: 2025. Volume: 3291 , Issue: 1 .
Authors: Paritosh Sahu; Esther Daniel; Durga Sivan; Seetha Surleese

Deep Kronecker ResNeXt forward fractional network-driven clustering for enhanced load balancing in cloud computing

Journal Article
The Journal of Supercomputing. Year: 2025. Volume: 81 , Issue: 8 .
Authors: Susila Nagarajan; Shobana Mahalingam; Kathiresan Velayutham; Esther Daniel

2D convolution neural network-based efficient model for brain tumor detection using 5G Edge Cloud

Journal Article
Year: 2025. Volume: 139 , Pages: 433-450 .
Authors: S. Durga; S. Deepakanmani; Esther Daniel

An EEG-Based Brain-Computer Interface Approach for Enhanced Interaction with Digital Devices

Conference Paper
Year: 2025. Volume: 1286 LNNS , Pages: 527-539 .
Authors: Jubal Chandy Jacob; Esther Daniel; S. Durga; S. Seetha

A Machine Learning Approach for Identifying Mental Health Disorders and Depression in Psychoactive Drug Users

Conference Paper
Year: 2025. Pages: 1274-1280 .
Authors: Cherukuri Srivardhan; Esther Daniel; S. Jebapriya; T. Mathu

Explainable Multi-Stage Churn Prediction using Graph Neural Network in Telecom Sector

Conference Paper
Year: 2025. Pages: 1100-1105 .
Authors: Neeraj M; Esther Daniel; S. Durga; S. Seetha
Showing 1 to 8 of 64 publications