Prof. Dr. Shanmugasundaram Hariharan
Vardhaman College
of Engineering, India
Email: [email protected]
Qualifications
2006-2010 Ph.D., Anna
University, India
2002-2004 M.E., Anna
University, India
1998-2002 B.E.,
Madurai Kammaraj University, India
Publications (Selected)
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Hariharan, S., Balapriya, S., & Jose, P., et al. (2026). Retrieval augmented generation (RAG) with enhanced SBERT fine-tuning vector summarization in medical domain. Expert Systems with Applications, 321, 132388.
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Rani, V. U., Kaladevi, R., & Hariharan, S., et al. (2026). Enhancing transparent diagnosis of cognitive impairments through advanced electroencephalography classification and explainable artificial intelligence techniques. Engineering Applications of Artificial Intelligence, 173, 114432.
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Jain, E., Kukreja, V., & Kaushik, P., et al. (2026). BioOtoFusionNet - A bio-attention & frequency-aware hybrid network for ear disease classification. Engineering Science and Technology-An International Journal-JESTECH, 77, 102354.
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Sharma, R., Kukreja, V., & Hariharan, S., et al. (2026). cLDM-ODE: A multimodal generative framework for uncertainty-aware forecasting of Alzheimer's disease progression. IRBM, 47(1), 100926.
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Kaur, A., Kukreja, V., & Ati, M., et al. (2026). BrainDx: A dual-transformer framework using PVT and SegFormer for tumor diagnosis. Biomedical Signal Processing and Control, 113, 108917.
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Anvesh, K., Reshmi, B. M., & Hariharan, S., et al. (2025). A novel approach deep learning framework for automatic detection of diseases in retinal fundus images. CMES-Computer Modeling in Engineering & Sciences, 143(2), 1485–1517.
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Anvesh, K., Hariharan, S., & Reshmi, B. M., et al. (2025). A robust deep learning model selection with data augmentation for automatic detection of tessellated fundus images and explainable artificial intelligence based interpretation. Engineering Applications of Artificial Intelligence, 161, 112316.
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Hariharan, S., Anandan, D., & Krishnamoorthy, M., et al. (2025). Advancements in liver tumor detection: A comprehensive review of various deep learning models. CMES-Computer Modeling in Engineering & Sciences, 142(1), 91–122.
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Jain, E., Kaushik, P., & Kukreja, V., et al. (2025). Swin Transformer and Momentum Contrast (MoCo) in leukemia diagnostics: A new paradigm in AI-driven blood cell cancer classification. IEEE Access, 13, 82441–82466.
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Kaushik, P., Kukreja, V., & Jain, E., et al. (2025). Neuroinfinity: A lightweight prompt-driven vision-language framework for Alzheimer's disease stage classification using magnetic resonance imaging. IEEE Access, 13, 191589–191608.
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Anandan, D., Hariharan, S., & Sasikumar, R. (2023). RETRACTED: Deep learning based two-fold segmentation model for liver tumor detection (Retracted Article). Journal of Intelligent & Fuzzy Systems, 45(1), 77–92.
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Kukreja, V., Abraham, A., & Kalaiselvi, K., et al. (2023). Machine learning for data fusion: A fuzzy AHP approach for open issues. CMC-Computers Materials & Continua, 77(3), 2899–2914.
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Manju, A., Kaladevi, R., & Hariharan, S., et al. (2023). Early diagnosis of lung tumors for extending patients' life using deep neural networks. CMC-Computers Materials & Continua, 76(1), 993–1007.
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Manju, A., Revathi, A., & Arivukarasi, M., et al. (2023). Fuzzy rule-based model to train videos in video surveillance system. Intelligent Automation and Soft Computing, 37(1), 905–920.
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Hariharan, S., & Venkatesan, R. (2022). Background subtraction in surveillance systems using local spectral histograms and linear regression. Intelligent Automation and Soft Computing, 34(1), 407–422.
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Raju, D. N., Shanmugasundaram, H., & Sasikumar, R. (2021). Fuzzy segmentation and black widow-based optimal SVM for skin disease classification. Medical & Biological Engineering & Computing, 59(10), 2019–2035.
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Mohammed, S. S., & Hariharan, S. (2016). Parameters affecting the judgment task while summarizing documents. International Arab Journal of Information Technology, 13(4), 417–426.
Profile Details
https://saiconference.com/CVC/CommitteeProfile/hariharan-shanmugasundaram
https://scholar.google.com/citations?user=fj6kV3kAAAAJ&hl=en
https://www.researchgate.net/profile/Hariharan-Shanmugasundaram-4
WOS ResearchID: AAS-3750-2021