Subir Das

Indian Institute of Engineering Science and Technology, Shibpur, National Institute of Technology Agartala

Papers

Total Citations

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About

Dr. Subir Das is a biomedical engineer and roboticist whose work sits at the intersection of neural signal processing, rehabilitation robotics, and sensor technology. His research focuses on developing intelligent assistive devices that restore mobility and independence to individuals with neurological or physical impairments. Dr. Das’s most cited work introduces a novel method for classifying EEG motor imagery signals using cross-correlated spectral entropy, a technique designed to trigger lower-limb exoskeletons for stroke survivors. This paper has garnered 10 citations, reflecting its significance in advancing brain-computer interface (BCI) applications for gait rehabilitation. He is also the lead developer of a smart-band-operated wrist rehabilitation robot, addressing the critical need for accessible, home-based therapy for hemiplegic patients. This work, with 4 citations, demonstrates his commitment to translating complex engineering into practical, user-friendly solutions. More recently, Dr. Das has explored the repurposing of optical mouse sensors beyond navigation, reviewing their applications in robotics, healthcare, and agriculture—a testament to his inventive, cross-disciplinary approach. Through these contributions, Dr. Das is helping to bridge the gap between cutting-edge signal processing and real-world clinical impact.