Ratnakar Dash
Papers
4
Total Citations
145
H-Index
4
About
Ratnakar Dash is a leading researcher in the application of machine learning and computational intelligence to biomedical image analysis and human-computer interaction. His most impactful work focuses on developing automated systems for pathological brain detection, where he has pioneered the use of hybrid algorithms—such as combining extreme learning machines with modified sine cosine optimization (54 citations) and integrating fast discrete curvelet transforms with probabilistic neural networks (53 citations). These contributions have significantly advanced the accuracy and efficiency of computer-aided diagnosis for brain disorders. Beyond medical imaging, Dash has explored gesture recognition through ensemble-based convolutional neural networks (25 citations) and developed an autonomous chess-playing robot (13 citations), demonstrating the breadth of his expertise in intelligent systems. His work consistently bridges theoretical algorithm development with practical, real-world applications, making him a notable figure in applied artificial intelligence. With over 145 citations across his top papers, Dash’s research continues to influence both the biomedical and robotics communities.
Research Focus
Key Achievements
Top Papers
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- 4Autonomous Chess Playing Robot13 citations · 2019