Jaiteg Singh

Papers

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About

Jaiteg Singh is a leading researcher at the intersection of neural engineering and spatial computing, whose work is shaping the future of both assistive technology and autonomous navigation. His most impactful contribution is a comprehensive survey on EEG and machine learning methods for neural rehabilitation (2023, 23 citations), which systematically demonstrates how Brain-Computer Interfaces (BCIs) can restore lost motor abilities by decoding neural activity—a critical step toward non-invasive therapies for stroke and spinal cord injury patients. In parallel, his influential review of indoor positioning systems (2022, 13 citations) provides a foundational taxonomy of technologies—from GPS to sensor fusion—that enable real-time tracking in GPS-denied environments, with direct applications in logistics, healthcare, and smart infrastructure. By bridging the gap between brain-signal processing and precise indoor localization, Singh’s work addresses two of the most pressing challenges in human-machine interaction: restoring mobility and ensuring seamless navigation. His research is widely cited for its clarity and practical relevance, making him a key voice in the development of next-generation rehabilitation tools and autonomous systems.