Pavan Kumar Kankar

Indian Institute of Information Technology Design and Manufacturing Jabalpur

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About

Pavan Kumar Kankar is a researcher whose work lies at the intersection of neuroscience, signal processing, and robotics, with a primary focus on Brain–Computer Interfaces (BCI). His research explores how electroencephalogram (EEG) signals can be decoded to establish direct communication pathways between the human brain and external devices. Kankar’s major contributions include developing methods for feature extraction and classification of imagined motor movement EEG signals, a foundational step for enabling BCI systems to control applications such as computer cursors, robotic arms, and wheelchairs. His work on robot motion control using BCI demonstrates the practical translation of neural activity into two-dimensional robotic movements, advancing assistive technologies for individuals with motor impairments. With his most-cited paper accumulating 8 citations, Kankar’s research has contributed to improving the efficiency and accuracy of BCI systems through noise reduction and signal processing techniques. His notable achievement lies in bridging the gap between neural decoding and real-world robotic control, offering a glimpse into a future where thought alone can command machines. For students and researchers, Kankar’s work exemplifies the interdisciplinary challenges and transformative potential of BCI technology.