K. Nirmala Devi
Papers
1
Total Citations
11
H-Index
1
About
K. Nirmala Devi is a researcher whose work lies at the intersection of biomedical optics, machine learning, and quantum computing, with a focus on advancing cancer diagnostics. Her most cited contribution, "Optical bio sensor based cancer cell detection using optimized machine learning model with quantum computing" (2023, 11 citations), explores the integration of optical biosensing with optimized machine learning algorithms and quantum computing to enhance the sensitivity and accuracy of cancer cell detection. This work highlights her commitment to developing non-invasive, computationally efficient diagnostic tools that leverage emerging technologies. While the paper has been retracted, it nonetheless reflects her engagement with cutting-edge interdisciplinary approaches. Her research addresses critical challenges in early disease detection, aiming to bridge the gap between theoretical computational models and practical biomedical applications. With a growing citation footprint, Nirmala Devi continues to contribute to the evolving landscape of intelligent biosensing and quantum-enhanced analytics, positioning herself as a researcher attentive to the transformative potential of quantum machine learning in healthcare.
Research Focus
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Top Papers
- 1