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Ms. Divya K

Ms. Divya K View All

Assistant Professor

School of Technology

Ms. Divya K completed her B.Tech in Information Technology and M.Tech in Computer Science and Engineering from Jawaharlal Nehru Technological University, Anantapur. She is currently pursuing her Ph.D. in the School of Computer Science and Engineering at Vellore Institute of Technology and has submitted her thesis, awaiting Viva Voce.

She has over 8.5 years of teaching experience in various institutions including Vellore Institute of Technology, SITAMS Chittoor, and Mother Theresa Institute of Engineering and Technology, Chittoor. She has guided more than 10 UG and PG student projects and has also served as a member of the NAAC committee in her previous institution.

Ms. Divya has published five research articles in international and national journals/conferences. She has also served as a reviewer for reputed journals including Springer Nature and Elsevier publications. Her areas of specialization include Machine Learning, Deep Learning, Privacy-Preserving Healthcare Analytics, Bio-inspired Optimization, and Healthcare Data Analytics.

    • Graduation In :

      Sreenivasa Institute of Technology and Management Studies (SITAMS), JNTUA University, Chittoor

    • Graduation From :

      B.Tech - Information Technology

    • Graduation Year :

      2011

    • Post Graduation In :

      VEMU Institute of Technology, JNTUA University, Chittoor

    • Post Graduation From :

      M.Tech - Computer Science & Engineering

    • Post Graduation Year :

      2017

    • Doctorate In :

      Vellore Institute of Technology (VIT), Vellore

    • Doctorate From :

      Ph.D. - Computer Science and Engineering

    • Doctorate Year :

      Pursuing

    • 8.5 years of teaching/research experience. Previous roles include Assistant Professor (Junior), CSE Department, VIT Vellore; Assistant Professor, CSE Department, SITAMS, Chittoor; Assistant Professor, CSE Department, Mother Theresa Institute of Engineering Technology, Chittoor; and Lecturer, Computers Department, RKM Degree College, Chittoor-Penumur.

  • Publications in Journals

    • Kesavulu, D., & R, K. (2025). Improved bio-inspired with a machine learning computing approach for thyroid prediction. Scientific Reports, 15(1), 22524.
    • Kesavulu, D., & Kannadasan, R. (2025). Privacy-Preserving Federated Learning for Thyroid Disease Detection: A Comparative Study on Feature Selection and Class Balancing. IEEE Access, 13, 193838-193862.
    • Kesavulu, D., & R, K. (2026). A hybrid CNN-XLSTM-GRU deep learning model with autoencoder-based feature selection for hypothyroidism diagnosis. PLOS ONE, 21(4), e0347203.
    • Divya, K. (2015). Privacy-preserving architecture using CAPTCHA & number grids in cloud systems. International Journal of Computer Trends and Technology, 30(3).

    Publications in Conferences

    • Divya K., & Kannadasan R. A Hybrid Evolutionary Approach for Accurate Thyroid Disorder Prediction: Integrating Differential Evolution and Flower Pollination Algorithms, ICRTACM-2025, REVA University, Bengaluru.