Salil S. Kanhere
Papers
5
Total Citations
351
H-Index
5
About
Salil S. Kanhere is a prominent researcher whose work sits at the dynamic intersection of Brain-Computer Interfaces (BCI), the Internet of Things (IoT), and emerging technologies for smart cities. His research focuses on harnessing neural signals — particularly electroencephalography (EEG) — and applying deep learning frameworks to translate human thought into meaningful machine interactions, opening transformative possibilities for accessibility and human-device communication. Among his most influential contributions is his work on enabling "brain typing," where deep feature learning of EEG signals allows individuals to convert thoughts directly into text — a breakthrough with profound implications for people with motor disabilities. His pioneering framework unifying IoT with BCI (cited 95–112 times) demonstrated how everyday connected devices could be cognitively controlled, advancing the frontier of human-thing interactivity. His 2021 review on Virtual Reality, Augmented Reality, and BCI applications for smart cities, garnering 123 citations, further establishes his role in shaping future urban technology landscapes. With hundreds of citations across his key publications, Kanhere has made a measurable impact on both the research community and practical assistive technology development, inspiring a new generation of engineers and scientists working at the nexus of neuroscience and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5