Sanjay Anand

The University of Texas at Arlington

Papers

1

Total Citations

18

H-Index

1

About

Sanjay Anand has made pioneering contributions to neural engineering, with a primary focus on developing advanced interfaces for bidirectional communication with the peripheral nervous system. His most cited work introduces the Regenerative Multi-electrode Interface (REMI), a novel device that guides regenerating axons through an electrode array placed within the nerve lumen. This breakthrough enables chronic, stable recording of sensory-motor activity in behaving animals, offering a transformative platform for natural control and sensory feedback in robotic prosthetic limbs. With 18 citations, this foundational study has influenced subsequent research in neuroprosthetics and regenerative medicine. Anand’s work addresses critical challenges in long-term neural interfacing, including signal degradation and tissue integration, positioning him as a key figure in the quest for seamless human-machine interaction. His research not only advances fundamental understanding of neural regeneration but also holds direct translational potential for amputees and individuals with motor impairments.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Chronic sensory-motor activity in behaving animals using regenerative multi-electrode interfaces
18 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: The University of Texas at Arlington

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago