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Mahajana PG Center
Department of MCA

Dr. Supreetha Gowda H.D.

Assistant Professor
Profile

About Dr. Supreetha Gowda H.D.

Assistant ProfessorDepartment of MCA

Passionate educator with 12+ years of teaching experience and 10+ years of research expertise in Artificial Intelligence and Machine Learning. Specialized in multimodal biometric systems, deep learning, pattern recognition, and computer vision. Demonstrated research excellence through publications in peer-reviewed Q1 journals and reputed conferences, complemented by a patented innovation in medical record anomaly detection.

Research

Publications

  • 2019Conference
    Multimodal biometric verification system: Evaluation of various score level fusion rules.

    Supreetha Gowda, H. D., G Hemantha Kumar, & Mohammad Imran.

  • 2020Conference
    Robust deep CNN architecture for person verification system using multimodal biometric approaches.

    Supreetha Gowda, H. D., Kumar, G. H., & Imran, M.

  • 2024Conference
    Extensive analysis of deep CNN based multispectral palmprint verification system on all fusion levels.

    Supreetha Gowda, H. D., Mohammad Imran, Mohan Kumar, & Naveeda Mommal.

  • 2025Journal
    Noise resilient deep convolutional neural networks for adverse and high security applications.

    Supreetha Gowda, H. D., & Rachana C R.

  • 2017Conference
    Evaluation of texture features for biometric verification system using handvein and finger knuckleprint.

    Supreetha Gowda, H. D., & G Hemantha Kumar.

  • 2025Journal
    Data to decisions: Leveraging feature extraction, classification, clustering, ML models and neural networks.

    Supreetha Gowda, H. D., & Rachana C R.

  • 2017Conference
    Evaluation of subspace and kernel based features for biometric verification system using handvein and finger knuckleprint.

    Supreetha Gowda, H. D., G Hemantha Kumar, & Mohammad Imran.

  • 2025Journal
    SmartAI Farm: Empowering sustainable agriculture through artificial intelligence.

    Supreetha Gowda, H. D., Rashmi Ramesh Goule, Anthony Roshan S, & Rachana C R.

  • 2018Journal
    Robust analysis of multimodal biometric verification system under various spatial noise conditions.

    Supreetha Gowda, H. D., G Hemantha Kumar, & Mohammad Imran.

  • 2026Journal
    Optimizing abrasive wear in sustainable MCC reinforced hemp bamboo epoxy composites for tribological applications.

    Supreetha Gowda, H. D., Hemaraju, Pradeep Kumar, V. G., Suresha, B., Rachana, C. R., & Bhat, S. K.

  • 2018Journal
    Multimodal biometric system on various levels of fusion using LPQ features.

    Supreetha Gowda, H. D., G Hemantha Kumar, & Mohammad Imran.

  • 2026Journal
    A review of recent machine learning advances for predicting and optimizing mechanical and tribological properties of fiber-reinforced thermoset polymer nanocomposites.

    Supreetha Gowda, H. D., Raju, H., Kumar, V. G. P., et al.

  • 2018Journal
    Noise-robust hand based multimodal biometric system using ICA features.

    Supreetha Gowda, H. D., Mohammad Imran, & G Hemantha Kumar.

  • 2018Conference
    Feature level fusion of face and iris using deep features based on convolutional neural networks.

    Supreetha Gowda, H. D., G Hemantha Kumar, & Mohammad Imran.

  • 2018Conference
    Robust multimodal handvein and palmprint based verification system in the presence of salt and pepper noise.

    Supreetha Gowda, H. D., G Hemantha Kumar, & Mohammad Imran.