S. Dhanasekaran

Kalasalingam Academy of Research and Education

Papers

Total Citations

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About

S. Dhanasekaran is a researcher whose work lies at the intersection of biomedical signal processing and human-computer interaction, with a particular focus on brain-computer interfaces (BCIs). His most notable contribution is the development of an electroencephalogram (EEG)-based communication system designed to assist individuals in locked-in states, enabling them to communicate through mentally spelled tasks. This work, published in 2019 and cited 12 times, integrates optimized network models to decode neural signals with improved accuracy and efficiency, offering a lifeline to those with severe motor impairments. Dhanasekaran’s research addresses critical challenges in real-time signal classification and system reliability, advancing the practical deployment of non-invasive BCIs. His efforts underscore a commitment to translating computational neuroscience into assistive technologies, with potential applications in neurorehabilitation and augmentative communication. While his citation impact is still growing, his pioneering approach to optimizing neural network architectures for EEG data has laid groundwork for more accessible, user-centric BCI systems. Dhanasekaran’s work exemplifies how targeted engineering solutions can restore agency and quality of life for patients with profound disabilities.