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Mrs. Sangeetha S View All

Assistant Professor

School of Technology

Mrs. Sangeetha is a graduate from Anna University and had her Post Graduation. . She has submitted her thesis at VIT University, Vellore and waiting for adjudication. She has over 2 years of teaching and 2.5 years of industry experience. She has supervised over 10 students projects at UG and PG levels. She has played various administrative roles such as member of Exam Cell and NAAC preparations. She has published 4 articles in International Journals, 3 books chapters. She is a reviewer of 2 International Journals namely IEEE Access and Fronitiers in Oncology (section Cancer Imaging and Image – directed Interventions).

    • Graduation In :

      B.E Computer Science & Engineering

    • Graduation From :

      Anna University, Trichy.

    • Graduation Year :

      2011

    • Post Graduation In :

      M.E Computer Science & Engineering

    • Post Graduation From :

      C. Abdul Hakeem College of Engineering and Technology, Melvisharam.

    • Post Graduation Year :

      2016

    • Doctorate In :

      Computer Science & Engineering

    • Doctorate From :

      Vellore Institute of Technology, Vellore.

    • Doctorate Year :

      2024

    • 4.5 years (Teaching and Industry)

  • Book Chapters

    • 1. Swathi Jamjala Narayanan, Boominathan Perumal, Sangeetha Saman, and Aditya Pratap Singh. ”Deep learning for person re-identification in surveillance videos.” In Deep Learning: Algorithms and Applications, pp. 263-297. Springer, Cham, 2020. Published.
    • 2. BoominathanPerumal,SwathiJamjalaNarayanan,SangeethaSaman. “ExplainableFuzzyDecisionTreeforMedical DataClassification”. InMedicalDataAnalysisandProcessingusingExplainableArtificialIntelligence,pp. CRCPress, pp. 39-57, 2023.
    • 3. Boominathan Perumal, Swathi Jamjala Narayanan, Sangeetha Saman. “Explainable Deep Learning Architectures for ProductRecommendations.” InExplainable,Interpretable,andTransparentAISystems. CRCPress,Firstedition, 2024.

    Publications in Journals

    • 1. Sangeetha Saman, Swathi Jamjala Narayanan. “Optimal feature subset selection for MRI brain tumor classification using improved ant-lion optimization”. Evolutionary Intelligence. (2024), Springer. Published [Impact factor: 2.3, Scopus].
    • 2. Sangeetha Saman, and Swathi Jamjala Narayanan. ”Active contour model driven by optimized energy functionals for MRbrain tumorsegmentation with intensity inhomogeneity correction.” Multimedia Tools and Applications 80, no. 14 (2021): 21925-21954, Springer. Published [Impact factor- 3.0, Sci-Scopus].
    • 3. Sangeetha Saman, and Swathi Jamjala Narayanan. ”Active contour model driven by optimized energy functionals for MRbrain tumorsegmentation with intensity inhomogeneity correction.” Multimedia Tools and Applications 80, no. 14 (2021): 21925-21954, Springer. Published [Impact factor- 3.0, Sci-Scopus].
    • 4. Sangeetha S., Johnsana,J.A., Rajesh, A., KishoreVerma, S.(2016). Valueandpatternanonymizationoftimeseries data for privacy preserving data mining. Journal of Chemical and Pharmaceutical Sciences, 9(4), 2221-2228.

    Publications in Conferences

    • 1. SwathiJamjalaNarayanan,ChinmayAshtikar, AdithyaSreemandiramAnil, SasankChunduri and SangeethaSaman. “Automated Brain Tumor Segmentation Using GAN Augmentation and Optimized U-Net”. In Frontiers of ICT in Healthcare: Proceedings of EAIT 2022, pp. 635-646. Singapore: Springer Nature Singapore, 2023.
    • 2. Narayanan, Swathi Jamjala, Boominathan Perumal, Aakar Mutha, Sangeetha Saman, Rajen B Bhatt. “Human Ac tivity Recognition on Accelerometer Data using Machine Learning Algorithms”. In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), pp. 48-53. IEEE, 2022.