Ministry of Education
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Dr Vaishnavi J

vidwan id: 637584
Female

Assistant Professor, Department of Computing Technologies - KTR
S R M Institute of Science & Technology, Chennai

Orchid Icon 0000-0001-7172-1778 Google Scholar Icon 58775196300 Researcher Icon KCZ-1383-2024 Google Scholar Icon z3QNZlMAAAAJ

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 23
Books 0
Proceedings 0

Publications

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Scopus

Citations 28
h-index 3

CrossRef

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Citations 11
h-index 2
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Professional Recognition

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Community & Membership

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IEEE

2021
Member

Bio

Dr. Vaishnavi Jayaraman is a research-driven AI professional with over two and half years of experience in healthcare analytics, sustainability informatics, and applied machine learning. She holds a Ph.D. in Computer Science & Engineering with a research focus on municipal solid waste forecasting and classification using deep learning and optimization techniques. Previously served as a Research Associate at Medyaan Healthcare, where she led projects that integrate AI, FHIR standards, and pred

Personal Details

  • Female
  • Assistant Professor , S R M Institute of Science & Technology, Chennai
  • SRMIST
Ph. D
Other Institute 2024
M.E
Other Institute 2020
B.Tech
Other Institute 2018
Assistant Professor Jul 2025 – Present
S R M Institute of Science & Technology, Chennai | Department of Computing Technologies - KTR

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Co-Authors (3)

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Scholarly Work

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GOWRInator - GO With Recycling – Intelligent Incinerator

Saravanan Parthasarathy
Vaishnavi Jayaraman
Arun Raj Lakshminarayanan
Selvaprabu Jeganathan
- Application No. : 202141053432 Filed : 20-11-2021
Published : 03-12-2021 Published

Scholarly Publications

Prediction of Brain Diseases Using Machine Learning Models: A Survey

Open Access
conference proceedings
Year: 2023. Pages: 969-981 .
Authors: Zaina Pasha, Saravanan Parthasarathy, Vaishnavi Jayaraman, Arun Raj Lakshminarayan
DOI 10.1007/978-981-19-7753-4_74

MEDYAANIA: A Complete Telemedicine System

Open Access
conference paper
Year: 2023. Pages: 1-8 .
Authors: Saravanan Parthasarathy, Vaishnavi Jayaraman, Aaron Mathias
DOI 10.1109/ICICAT57735.2023.10263768

GSO-VGG-16 Model for Predicting Diabetic Retinopathy by Analysing Up-Sampled Gaussian Filtered Fundus Images

Open Access
conference paper
Year: 2023. Pages: 1-6 .
Authors: Saravanan Parthasarathy, Vaishnavi Jayaraman, Viji Vijayan
DOI 10.1109/ICSSES58299.2023.10200413

Detection of Health Insurance Fraud using Bayesian Optimized XGBoost

Open Access
article
Year: 2023. Volume: https://www.iieta.org/journals/ijsse/paper/10.18280/ijsse.130509 , Pages: 853-861 .
Authors: Saravanan Parthasarathy, Aran Raj Lakshminarayanan, A Khan, K Javubar Sathick, Vaislinavi Jayaraman
DOI 10.18280/ijsse.130509

Forecasting the Municipal Solid Waste Using GSO-XGBoost Model

Open Access
article
Intelligent Automation & Soft Computing. Year: 2023. Volume: 37 , Pages: 301-320 .
Authors: Vaishnavi Jayaraman, Arun Raj Lakshminarayanan, Saravanan Parthasarathy, A Suganthy
DOI 10.32604/iasc.2023.037823

Enhancing Speech Emotional Recognition through a Multi-Layer Perceptron Model

Open Access
conference paper
Year: 2023. Pages: 178-183 .
Authors: Arun Raj Lakshminarayanan, Inderpaal Singh Rathna Balaji, Sheik Taaha Hussain, Vaishnavi Jayaraman, Chintakunta Shaik Anwar
DOI 10.1109/TEECCON59234.2023.10335806

Forecasting the Emission of Greenhouse Gases from the Waste using SARIMA Model

Open Access
Conference Paper
Year: 2022. Pages: 99-106 .
Authors: Jayaraman V.;Parthasarathy S.;Lakshminarayanan A.R.
DOI 10.1109/ICOEI53556.2022.9777119
1 6

Predicting the Cardiac Diseases using SelectKBest Method Equipped Light Gradient Boosting Machine

Open Access
Conference Paper
Year: 2022. Pages: 117-122 .
Authors: Ayyanar M.;Jeganathan S.;Parthasarathy S.;Jayaraman V.;Lakshminarayanan A.R.
DOI 10.1109/ICOEI53556.2022.9777224
3 9