Ministry of Education
Annapoorani S
VIDWAN ID: 615083

Dr Annapoorani S

Female Doctor of Philosophy
Assistant Professor | Department of Data Science and Business Systems - KTR
SRM Institute of Science and Technology
Expertise: Computer Science Artificial Intelligence
ORCID 0009-0006-2398-9271 Scopus 57215413628 Google Scholar bcPuzSAAAAAJ
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12 Publications
0 Projects
11 Scopus Citations
6 CrossRef
2 Years Total Experience
Publications
12 Total
Articles
6
Proceedings
6
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Scopus Scopus
11 Citations
2 h-index
CrossRef CrossRef
6 Citations
1 h-index
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Personal Details

Doctor of Philosophy
2025
N/A
Assistant Professor
Sep 2024 – Present
SRM Institute of Science and Technology | Department of Data Science and Business Systems - KTR
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Publications

Scalable Personalized Education Through Agent-Orchestrated Retrieval-Augmented Learning

Conference Paper
Year: 2026.
Authors: Annapoorani S; Shobanadevi A; Subashini B
DOI 10.1109/ICCRTEE68719.2026.11566356

Reevaluating CNN Filter Dimensions: Experimental Findings on CIFAR-10 and Fashion-MNIST for Modern Network Architectures

Conference Paper
Year: 2026. Pages: 1200-1204 .
Authors: Annapoorani S; Anna Anbumozhi; Subashini B; Dhanalakshmi J
DOI 10.1109/ICICV68925.2026.11554743

Dual-Stream Deep Learning for Non-Invasive Anemia Detection from Conjunctival Images

Conference Paper
Year: 2026. Pages: 892-897 .
Authors: S. Annapoorani; A. Shobanadevi; M. Geetha Jenifel; T. Veeramakali
DOI 10.1109/ICPCSN68523.2026.11543988

Enhanced Postpartum Depression Prediction using a Hybrid Machine Learning Approach

Conference Paper
Year: 2026. Pages: 886-891 .
Authors: S Annapoorani; AShobanadevi; Praveena Anjelin; J Dhanalakshmi; T Veeramakali
DOI 10.1109/ICPCSN68523.2026.11543918

IoT-Enabled Blockchain Traceability Framework for Ensuring Safety and Transparency in India's MDM Scheme

Conference Paper
Year: 2026.
Authors: B.Subashini; N.J.Subashini; Anna Anbumozhi; J.Dhanalakshmi; K. Panimalar; S.Annapoorani
DOI 10.1109/ICDSBS69077.2026.11634932

ACNN-LSTM: A Novel Deep Learning Approach for Decoding Depression from Resting-State EEG

Open Access
Journal Article
International Journal of Intelligent Engineering and Systems. Year: 2024. Volume: 17 , Issue: 3 , Pages: 539-550 .
Authors: Annapoorani, S.; Lakshmi, M.
DOI 10.22266/ijies2024.0630.42 Crossref Crossref: 1 Scopus Scopus: 5

Enhancing Depression Detection: A Stacked Ensemble Model with Feature Selection and RF Feature Importance Analysis Using NHANES Data

Open Access
Journal Article
Applied Sciences. Year: 2024. Volume: 14 , Issue: 16 , Pages: 7366 .
Authors: Selvaraj, A.; Mohandoss, L.
DOI 10.3390/app14167366 Crossref Crossref: 5 Scopus Scopus: 6

From Text to Visuals: Advancements in Depression Prediction Using AI and Machine Learning Techniques

Conference Paper
Year: 2023. Pages: 1-6 .
Authors: S. Annapoorani; P. Saravanan
DOI 10.1109/rmkmate59243.2023.10369708
Showing 1 to 8 of 12 publications