Subramaniam Subramanian Murugesan
Papers
1
Total Citations
1
H-Index
1
About
Dr. Subramaniam Subramanian Murugesan is a pioneering researcher at the intersection of medical diagnostics and robotic automation, with a primary focus on breast cancer prediction. His most notable contribution is the development of an integrated framework combining Adaptive Ensemble Neuro-Fuzzy with Enhanced Learning (AENF-EL) and Variational Encoder Generative Networks with Probabilistic Temporal Dynamics (VEGN-PTD). This work addresses critical limitations in conventional breast cancer diagnosis—namely human inefficiency, lack of real-time adaptability, and data heterogeneity—by enabling the automated, correct classification of histological subtypes and assessment of lymph node status. Although his 2025 paper has garnered 1 citation, its forward-looking methodology signals a paradigm shift toward precision, real-time diagnostic systems. Dr. Murugesan’s research is particularly impactful for students and researchers in biomedical engineering and computational pathology, as it demonstrates how machine learning can bridge the gap between complex clinical data and actionable, automated decision-making. His work stands as a foundational step toward scalable, robotic-assisted cancer care.
Research Focus
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Top Papers
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