Malleswari Akurati

Papers

1

Total Citations

2

H-Index

1

About

Malleswari Akurati is a researcher at the forefront of integrating robotics and machine learning into healthcare, with a primary focus on physiotherapy and rehabilitation. Her most-cited work, "Analysis of Robotics and Human Measurement of Physiotherapy Using Machine Learning" (2023), addresses a critical gap in physical therapy by proposing a robotic system designed to exercise every finger and wrist joint—a function absent in existing technologies. This contribution highlights her commitment to enhancing patient outcomes through precision-driven, automated rehabilitation. With 2 citations already, her research is gaining traction for its practical implications in improving care quality. Akurati’s work bridges engineering and medicine, offering innovative solutions that could transform how therapists deliver treatment and how patients recover mobility. Her achievements underscore a dedication to advancing assistive technologies, making her a notable voice in the growing field of healthcare robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of Robotics and Human Measurement of Physiotherapy Using Machine Learning
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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