Kanishka Mitra

The University of Texas at Austin

Papers

1

Total Citations

5

H-Index

1

About

Kanishka Mitra is a pioneering researcher at the intersection of motor rehabilitation, robotics, and brain-machine interfaces (BMIs). His work focuses on characterizing neural signals during motor imagery and passive movements, with the goal of integrating exoskeletons with BMI systems for clinical applications. Mitra’s most cited paper, “Characterizing the Onset and Offset of Motor Imagery During Passive Arm Movements Induced by an Upper-Body Exoskeleton” (2023, 5 citations), addresses a critical challenge in combining these technologies: detecting when a user intends to initiate or stop movement. By analyzing EEG patterns during robotic-assisted motion, he has laid groundwork for more intuitive, real-time control of rehabilitation devices. This contribution is vital for developing adaptive therapies that respond to a patient’s neural state, potentially improving recovery outcomes for individuals with motor impairments. Mitra’s work is notable for its translational focus, bridging fundamental neuroscience with practical engineering. Though early in his career, his research is already shaping how robotic and BMI systems can work in concert, offering a promising path toward more effective, patient-centered neurorehabilitation.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Characterizing the Onset and Offset of Motor Imagery During Passive Arm Movements Induced by an Upper-Body Exoskeleton
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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