V.Vinodhini, M.E.,(PhD)

V.Vinodhini, M.E.,(PhD)

Email: vinodhini.v@sonatech.ac.in

Designation: Assistant Professor

Experience: 8 Years 3 Months

Specialization: Healthcare Data Analytics, Machine Learning , Deep Learning

Journal Publication Conference Publication Book Publication Major Contributions Invited Talk Training / Workshops Consultancy Research Projects Patent Membership Research IDs Awards & Recognitions Lab Achievements Credentials

Journal Publication

  1. Vinodhini, V., Sathiyabhama, B., Sankar, S., & Somula, R. (2020). A Deep Structured Model for Video Captioning. International Journal of Gaming and Computer-Mediated Simulations (IJGCMS), 12(2), 44-56.
  2. Vinodhini, V., Vishalakshi, A., Chandrika, G. N., Sankar, S., & Ramasubbareddy, S. (2022). Predicting Vasovagal Syncope for Paraplegia Patients Using Average Weighted Ensemble Technique. Journal of Mobile Multimedia, 135-162.
  3. Fathima, S. K., Velammal, B. L., Shanmugam, K., & Vinodhini, V. A Futuristic Approach On Effective Implementation Of Enabling Technologies In The Internet Of Things (IoT) For The Establishment Of Smart Health Care Management System. Turkish Journal of Physiotherapy and Rehabilitation, 32, 3.
  4. Vinodhini, V., Abishek, M., & Divya, K. (2021). A Behavioral Approach to Detect Somnolence of CAB Drivers Using Convolutional Neural Network. ICTACT Journal on Soft Computing, 11(3), 2359-2363.
  5. Vinodhini, V., Kumar, M. S., Sankar, S., Pandey, D., Pandey, B. K., & Nassa, V. K. (2022). IoT-based early forest fire detection using MLP and AROC method. International Journal of Global Warming, 27(1), 55-70.
  6. Vinodhini, V., Abishek, M., Divya, K., & Aswin, D. (2021). Social Distance Monitoring Model for Students in Unlock Phase. International Journal of Recent Trends in Computer Science and Applications, 2022, Vol:1, Issue:1, Page Number:5-8.
  7. Jayareka, K. S., Sobiyaa, P., Kaladevi, A. C., Vinodhini, V., & Suman, B. (2022). An effective automatic detection of tooth cavity using machine cum deep learning concepts and ICDAS measurement. Materials Today: Proceedings. Elsevier.
  8. Sundarakumar, M. R., Salanagai Nayagi, D., Vinodhini, V., Vinayaga Priya, S., Marimuthu, M., Basheer, S., & Johny Renoald, A. A heuristic approach to improve the data processing in big data using enhanced Salp Swarm algorithm (ESSA) and MK-means algorithm. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-16.
  9. Deepa, D., Muthukumaran, V., Vinodhini, V., Selvaraj, S., Sandeep Kumar, M., & Prabhu, J. (2023). Uncertainty Quantification to Improve the Classification of Melanoma and Basal Skin Cancer Using ResNet Model. Journal of Uncertain Systems, 16(01), 2242010.
  10. Ramasamy, V., Vinodhini, V., Saravanan, T. R., Kumar, S. D., & Lavanya, S. (2023, July). Wave Deep Neural Network for Multi-Class MRI Brain Image Classification. In 2023 2nd International Conference on Edge Computing and Applications (ICECAA) (pp. 686-690). IEEE.
  11. Sureshkumar, V., Jaganathan, D., Ravi, V., Velleangiri, V., & Ravi, P. (2024). A Comparative Study on Thyroid Nodule Classification using Transfer Learning Methods. The Open Bioinformatics Journal, 17(1).
  12. Vinodhini, V., Sathiyabhama, B., Vidhushavarshini, S., Ravi, V., & Shashidhar, R. (2025). Ensemble-based Heart Disease Diagnosis (EHDD) using Feature Selection and PCA Extraction Methods. The Open Bioinformatics Journal, 18(1).
  13. Nagarajan, B., Balasubramaniam, S., Jaganathan, D., Velleangiri, V., & Dhanaseharan, T. (2025, April). Enhancing the placement prediction system using gradient boosting machines (GBM). In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020112). AIP Publishing LLC.
  14. Sam, J. G., Kumar, A. A. D., Rajendran, A. R., Nagarajan, B., Balasubramaniyam, S., Jaganathan, D., & Velleangiri, V. (2025, April). A deep learning approach for skin cancer classification using multimodal fusion. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020111). AIP Publishing LLC.
  15. Subramanian, J., Madhaiyan, D., Venkatesan, D., Balu, D., Palanisamy, S., Karagowder, M., ... & Velleangiri, V. (2025, April). Fake review detection using deep learning. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020083). AIP Publishing LLC.
  16. Subramanian, J., Humayun, A. G., Kumar, A. N., Uvaraj, C., Balasubramaniyam, S., Palanisamy, S., ... & Hameed, F. S. (2025, April). Real time stock insights and decision support using RAG model. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020082). AIP Publishing LLC.
  17. Subramanian, J., Rohan, D. S., Palanisamy, S., Karagowder, M., Balasubramaniyam, S., Hammeed, F. S., & Velleangiri, V. (2025, April). Advancing agriculture: Deep learning solutions for plant disease detection. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020081). AIP Publishing LLC.
  18. Velleangiri, V., Balasubramaniam, S., Kumar, V. S., Nagarajan, B., Govindarajan, N., Panneerselvam, P., & Sathya, S. E. (2025, April). Multi-label fundus image classification model based on deep learning for multiclass imbalanced ocular disease dataset. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020076). AIP Publishing LLC.
  19. Hameed, F. S., Fatima, P., Nithianandam, K., Sakthivel, I., Muniappan, K. R., Subramanian, J., & Velleangiri, V. (2025, April). Hybrisense: A multi-modal framework for early prediction of Covid-19 using deep learning. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020086). AIP Publishing LLC.
  20. Velleangiri, V., Balasubramaniyam, S., Kumar, V. S., Subramanian, J., Hameed, F. S., Nagarajan, B., ... & Ramesh, T. P. S. (2025, April). Hybrid cryptographic technique for secure spatial range query processing in cloud computing. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020078). AIP Publishing LLC.
  21. Velleangiri, V., Balasubramaniam, S., Suresh, V., Jaganathan, D., Nagarajan, B., Sivakumar, K., ... & Madhavaveeran, L. (2025, April). A hybrid approach for diabetic nephropathy prediction using advanced firefly optimization. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020075). AIP Publishing LLC.

International Conferences

  1. Presented paper titled “A Survey of Combat Corona Virus (COVID-19)-Epidemics and Solutions Based on Block chain and AI Virtually”, in International Conference on AI, Robotics And Automation 2020 (ICARA 2020) 14/10/2020 to 18/10/2020
  2. Presented paper titled “A Remote Health Monitoring System Using IoT”, in International Virtual Conference On Applied Science, Technology, Management And Language Studies - ASTMLS-2020 on 11/12/2020
  3. Presented paper titled “A Survey of Low cost persistent infusion monitoring system using IoT for smart sanatorium”, in International Virtual Conference On Applied Science, Technology, Management And Language Studies - ASTMLS-2020 on 11/12/2020
  4. Presented paper titled “Face Mask Detection using machine learning technique” in International conference on science, Technology, Engineering and Mathematics, 2021
  5. Presented paper titled “IoT based Smart Bin”, National Conference on computational intelligence Security and systems, 06/06/2020
  6. Presented paper titled “Virtual Fence : A geospatial Intelligence to protect enterprise server data” in National Conference on "Recent Trends in Electrical and Computer Engineering for Sustainable Development", 2021
  7. Presented paper titled “A Hybrid Optimization approach for hypertension and food recommendation system using deep learning technique” in 9th national conference on computation Intelligence, Security and systems on 17th April 2023
  8. Presented paper titled “Texture analysis and disease prediction in nails using machine learning” in 9th national conference on computation Intelligence, Security and systems on 17th April 2023
  9. Presented paper titled “A comparative study on thyroid nodule classification using transfer learning methods” in 9th national conference on computation Intelligence, Security and systems on 17th April 2023
  10. Presented paper titled “A Contemporary Survey on Clustering Techniques for Wireless Sensor Networks” in International Virtual Conference On Applied Science, Technology, Management And Language Studies
  11. Presented paper titled “A Hybrid Approach for Diabetic Nephropathy Prediction Using Advanced Firefly Optimization” in International Conference on Green Computing for Communication Technologies”, held on 6th & 7th March 2024.
  12. Presented paper titled “Multi-Label Fundus Image Classification Model Based on Deep Learning For Multiclass Imbalanced Ocular Disease Dataset” in International Conference on Green Computing for Communication Technologies”, held on 6th & 7th March 2024.
  13. Presented paper titled “Hybrid Cryptographic Technique for Secure Spatial Range Query Processing in Cloud Computing” in International Conference on Green Computing for Communication Technologies”, held on 6th & 7th March 2024.
  14. Presented paper titled “Advancing Agriculture: Deep Learning Solutions for Plant Disease Detection” in International Conference on Green Computing for Communication Technologies”, held on 6th & 7th March 2024.
  15. Presented paper titled “Real Time Stock Insights and Decision Support using RAG Model” in International Conference on Green Computing for Communication Technologies”, held on 6th & 7th March 2024.
  16. Presented paper titled “Fake Review Detection Using Deep Learning” in International Conference on Green Computing for Communication Technologies”, held on 6th & 7th March 2024.
  17. Presented paper titled “Enhancing the Placement Prediction System Using Gradient Boosting Machines (GBM)” in International Conference on Green Computing for Communication Technologies”, held on 6th & 7th March 2024.

National Conferences

  1. IoT based Smart Bin, National Conference on computational intelligence Security and systems, 06/06/2020
  2. Virtual Fence : A geospatial Intelligence to protect enterprise server data, National Conference on Recent Trends in Electrical and Computer Engineering for Sustainable Development, 2021

Book Publication

Book Chapters in “Convergence of IoT, Blockchain, and Computational Intelligence in Smart Cities”

  1. “IoT Smart Environment” A Comprehensive Study on Challenges and Solutions
  2. Enabling Technologies for Internet of Things (IoT)-Based Smart Cities

Patents

  1. Thermoelectric smart bus stop with renewable energy and advanced user features, 2024, Patent Filed / 202441101176
  2. IOT-Enabled Gesture Based wheelchair for Elderly,2024, Patent Filed / 202541037125
  3. AR Assistive Autonomous Bot for immersive Hands-Free Shopping With billing and Payment, 2024, Patent Filed / 202441101196

Membership

  1. ISTE PROFESSIONAL MEMBER
  2. ACM

Researcher IDs

Awards and Achievements

  1. Anna University Rank Holder in UG & PG
  2. Academic Topper Award for the year 2008 to 2012
  3. Academic Excellence Award for year 2012 to 2014
  4. Wipro Certified Faculty & Mentor (Dot Net Full Stack)
  5. NPTEL 2021 – NPTEL DISCIPLINE STAR AWARD
  6. NPTEL 2023 – 5% Topper in “Introduction to Operating systems”
  7. NPTEL 2023 - 2% Topper in “Introduction to internet of things”