M. Pallikonda Rajasekaran

Kalasalingam Academy of Research and Education, First Candle

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About

M. Pallikonda Rajasekaran is a leading researcher in biomedical engineering and computational intelligence, with a primary focus on brain-computer interfaces (BCI) and rehabilitation robotics. His pioneering work in EEG signal classification has transformed how human intentions are translated into commands for external devices, offering life-changing solutions for rehabilitation patients with motor disabilities. His highly cited 2022 paper on bioinspired machine learning approaches for EEG-based BCI systems (17 citations) demonstrates his expertise in developing non-invasive neural interfaces that bypass traditional motor pathways. More recently, Rajasekaran has advanced the field of stroke rehabilitation through his 2024 work on cloud-powered smart robotics, integrating Recurrent Neural Networks with cloud computing to create adaptive, data-driven recovery systems. This innovative approach addresses the global challenge of long-term impairment from stroke by enabling personalized, remotely monitored therapy. His research uniquely bridges artificial intelligence, neural signal processing, and assistive robotics, with his work collectively cited over 18 times. Rajasekaran's contributions are particularly notable for their direct clinical applicability, offering scalable solutions that could revolutionize rehabilitation medicine and improve quality of life for patients with neurological conditions.