Dr. Muthusami R

About

Dr. R. Muthusami is an Associate Professor in School of Science and Computer Studies at CMR University, Bengaluru, Karnataka. With over 200 citations and a growing h-index of 7, his research focuses on the intersection of Generative AI, Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP).
His most recent work, published in Scientific Reports (Nature Portfolio) and Discover Artificial Intelligence (Springer), explores the frontiers of:
• Hybrid Retrieval Systems: Empirical analysis of sparse-dense retrieval synergies using SPLADE and DPR for domain-specific answer generation.
• Interpretable AI: Utilizing topic-guided transformers for stance detection and lightweight lexical augmentation for student feedback classification.
• Global Health Analytics: Applying advanced topic modeling to analyze pandemic propagation and public health policy.
Dr. Muthusami is a recognized expert in Topic Modeling and Agentic Architectures, consistently publishing in SCIE and Scopus-indexed journals. He actively serves as a reviewer for high-impact journals, including the Journal of Big Data, Multimedia Tools and Applications, Information Science and etc,.

For more detailed information on his publications and research contributions, you can visit his Google Scholar profile - https://scholar.google.com/citations?hl=en&user=Tc2YFWcAAAAJ

Employment

• CMR University Associate Professor
  2026 - Present
• Dr. Mahalingam College of Engineering and Technology Associate Professor
  2007 - 2026

Education

• Anna University, Chennai Ph.D - Data Analytics

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• Hybrid Sparse-Dense Retrieval-Augmented Generation: An Empirical Analysis with SPLADE and DPR
  International Journal on Computational Engineering 2026
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• Hybrid retrieval generation for structured reasoning with large language models
  Discover Artificial Intelligence 2026 DOI: 10.1007/s44163-026-01059-9
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• Lightweight lexical augmentation for robust transformer-based student feedback classification
  Discover Education 2026 DOI: 10.1007/s44217-026-01159-9
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• Adaptive Mixture-of-Recursions vision transformer with joint depth routing for multimedia vision
  Multimedia Tools and Applications 2026 DOI: 10.1007/s11042-026-21831-4
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• An Investigation of Explicit Indicators for Identifying Cyberstalking Incidents Towards Sexism using Keyword-Assisted Topic Model
  Journal of the Institution of Engineers India Series B 2025 DOI: 10.1007/s40031-024-01181-1
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• Interpretable stance detection in social media via topic-guided transformers
  Discover Artificial Intelligence 2025 DOI: 10.1007/s44163-025-00635-9
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• Investigating topic modeling techniques through evaluation of topics discovered in short texts data across diverse domains
  Scientific Reports 2024 DOI: 10.1038/s41598-024-61738-4
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• A mathematical analysis of mass transfer phenomena with chemical reaction over the flow of Sisko ferronanofluid across a permeable surface
  Scientific Reports 2023 DOI: 10.1038/s41598-022-27214-7
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• Exploratory analysis of SARS-CoV-2 omicron variant and its subvariant propagation: global predominance of BA.1*, BA.2*, BA.5*, BE.1*, and BQ.1*
  Proceedings of the Indian National Science Academy 2023 DOI: 10.1007/s43538-023-00176-8
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• Human monkeypox pandemic in 2022
  Indian Journal of Health Sciences and Biomedical Research (KLEU) 2023 DOI: 10.4103/kleuhsj.kleuhsj_526_22
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