Papers
2
Total Citations
91
H-Index
2
About
Dr. A. Suresh is a researcher at the forefront of applying artificial intelligence to biomedical and robotic systems. Their primary research areas include machine learning for medical prognosis, explainable AI, and cloud robotics. Dr. Suresh’s most significant contribution is the development of a hybridized neural network and decision tree classifier for prognostic decision-making in breast cancers, a work that has garnered 89 citations and demonstrates a practical, interpretable approach to clinical AI. This paper highlights their commitment to creating models that are both accurate and transparent for critical healthcare applications. While a more recent, retracted paper on fuzzy convolutional autoencoders for cloud robotics received limited attention, Dr. Suresh’s core body of work remains influential in bridging the gap between advanced computational techniques and real-world diagnostic challenges. Their research continues to inspire students and practitioners seeking to integrate robust AI into medical and autonomous systems.
Research Focus
Key Achievements
Top Papers
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