SRMIST Vadapalani
Dr. R. Gayathri

Dr. R. Gayathri

Assistant Professor (Sr.G)

Department of Computer Science & Engineering (Emerging Technologies)

Degree Specialization University/Institute Name, Year
Ph.D. Information Technology Dr. M.G.R Educational and Research Institute, Chennai,, 2023
M.Tech. Information Technology Sathyabama University, Chennai, 2016
B.Tech. Information Technology Panimalar Engineering College, Anna University, Chennai, 2013
  • Machine Learning
  • Data Mining
  • Operating Systems
  • Big data Analytics
  • Operating System
  • Computer Networks
  • Programming for Problem Solving
  • Software Engineering
  • ERP for Digital Enterprises
  • Information Storage Management
  • Bigdata Visualization
  • Applied Social Network Analysis
  • DBMS
  • Artificial Intelligence
  • Assistant Professor (Sr.G.), Department of Computer Science and Engineering (Emerging Technologies), SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, 2025 – Till date
  • Assistant Professor in Dr. MGR Educational and Research Institute from 2.7.2018 - 31.8.2023
  • Systems Engineer in Infosys from Jan,2016 - Jan,2017.
  • Indian Patent, AI Driven Smart School Nutrition Management Sy stem With Adaptive Portioning And Waste Analytics, Appl.no: 202641036857 A. The Patent Office Journal No. 21/2026 Dated 22/05/2026.
  • AI Driven Liver Disease Diagnosis : Multi Modal fusion of Medical Imaging and Clinical Reports, Appl.no: 202541059774A. The Patent Office Journal No. 27/2025 Dated 04/07/2025
  • Indian Patent, Hybrid Model For Netflix Stock Price Prediction Using Lstm-Cnn And Sentiment Analysis, Appl.no: 202441072000 A. The Patent Office Journal No. 40/2024 Dated 04/10/2024.
  • Indian patent.’ Advanced graphical-based security approach to handling visual security’. Appl.no: 201941008362A. The Patent Office Journal No. 12/2019, Dated March 22, 2019, p. 12841
  • Devakanth, J. J. M. A., Immanuel, R. R. R., Poonguzhali, S., Gayathri, R., Maheswari, S., & Sowmyayani, S. (2025, September). Automatic Health Monitoring From Multi-View Images of Cattles Using Fuzzy Logic. In’2025 Third International Conference on Industry 4.0 Technology (I4Tech)’(pp. 1-6). IEEE.
  • Gayathri, R., Manohar, S., Dayana, R., Mathivanan, S. K., & Deshpande, N. M. (2025, April). An Optimized Algorithmic Frameworks for Transfer Learning to Enhance Efficiency and Accuracy in Pretrained Model Adaptation. In’2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0’(pp. 1-5). IEEE.
  • Krithik, S. S., Aditya, V., Reddy, K. P. S., & Gayathri, R. (2024, May). Data Brain: Streamlining Data Science with AI-Assisted Conversations. In’International Research Conference on Computing Technologies for Sustainable Development’\(pp. 212-221). Cham: Springer Nature Switzerland.
  • Gayathri, R., Sangeetha, S. K. B., Sangeetha, R., Mary, G. L. R., Mathivanan, S. K., & Moorthy, U. (2025). Dynamic AI-enhanced therapeutic framework for precision medicine using multi-modal data and patient-centric reinforcement learning.’IEEE Access’,13, 77709-77733.
  • Gayathri, R., Sangeetha, S. K. B., & Benjula Anbu Malar, M. B. (2024). Enhancing heart disease prediction with reinforcement learning and data augmentation.’Systems and Soft Computing’,6, 200129.
  • Mathivanan, S. K., Shivahare, B. D., Chandan, R. R., & Shah, M. A. (2024). A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT.’Scientific Reports’,14(1), 1-23.
  • Mr. Hemanth Vignesha S, Mr. Balavignesh S, Ms. Chaithra S Menon, Dr. Gayathri R. ‘Healthcare Chatbot, ‘International Research Journal of Modernization in Engineering Technology and Science’, Volume:06/Issue:10/October-2024
  • R. Gayathri, V.N. Rajavarman, A Hybrid Dc-Lg algorithm for improving efficiency and accuracy in predictive analytics, ‘The Seybold Report’, vol. 17, no. 6 (2022), DOI: 10.5281/zenodo.6821312/pg.no:2084-2098
  • R. Gayathri, V.N. Rajavarman, Prediction of Heart Disease Using Hybrid DC-LG Algorithm, ‘Journal of Jilin University’ ISSN (online):1671-5497 E-Publication: Online Open Access, Vol. 41 Issue: 07:2022| DOI 10.17605/OSF.IO/HSY7V
  • R. Chitra Prabha, S. Nandini, and R. Gayathri, Sentiment Analysis of Vulnerable Data in Social Networking, ‘International Journal of Advanced Science and Technology’, Volume 29, Issue 4, 2020
  • R. Gayathri and V. Rajalakshmi, Connecting Health Seekers and Healthcare Knowledge Portals by a Semantic Approach, ‘Indian Journal of Science and Technology’, Volume 9, Issue 10, March 2016
  • Conference: Global Congress on Computing and Media Technologies (GCMT). ‘Connecting Health Seekers and Healthcare Knowledge Portals by a Semantic Approach’. Sathyabama University (2015)
  • Conference: ‘Emerge: A Study on the Application of Big Data Analytics in Healthcare. Dr. MGR Educational and Research Institute (2020)