Preetam Kumar Khuntia
Papers
1
Total Citations
2
H-Index
1
About
Preetam Kumar Khuntia is a pioneering researcher at the intersection of assistive technology, neural engineering, and computer vision. His primary research focus lies in developing brain-computer interface (BCI) systems that empower individuals with visual impairments through active, intuitive control. Khuntia’s most notable contribution is the introduction of a neuronally controlled visual assistive device (NCVAD), which integrates EEG-based binary control with real-time computer vision to enable visually impaired users to perform reach tasks. This work, published in 2025, represents a significant leap from passive assistive devices to active, user-driven systems, offering a proof-of-concept that could transform rehabilitation and daily living aids. With 2 citations already, this early-stage research signals growing interest in his approach. Khuntia’s work is distinguished by its interdisciplinary methodology, combining neuroscience, machine learning, and hardware design. His achievements include validating a system that allows users to control a visual aid through neural signals alone, a feat that addresses critical gaps in human-computer interaction for disability. As a researcher, Khuntia is at the forefront of creating more immersive, responsive assistive technologies, with potential applications extending to neurorehabilitation and beyond.
Research Focus
Key Achievements
Top Papers
- 1