Papers

8

Total Citations

34

H-Index

4

About

Shramana Ghosh’s research bridges rehabilitation robotics, human hand kinematics, and STEM education, with a focus on creating accessible, anthropomorphic technologies. Her most cited work introduces a task-specific upper-extremity rehabilitation system for stroke patients, integrating an interactive game-based interface to enhance motor recovery—a contribution that has garnered 10 citations and demonstrates her commitment to clinically relevant robotics. She also developed a low-cost sensor-equipped glove for capturing human hand motion, enabling precise tracking of finger position, velocity, and acceleration; this work, featured in multiple papers with 5–6 citations each, underpins her design of a one-degree-of-freedom mechanical thumb for grasping applications. Beyond hardware, Ghosh has advanced STEM education through robotics curricula for middle school teachers, assessed the impact of robotics workshops using the Draw-a-Robot test, and explored teacher dynamics in group projects. Her research extends to humanoid control, including a DDP-based parachute landing optimization. With a portfolio that spans rehabilitation, biomechanics, and educational robotics, Ghosh’s work exemplifies how engineering innovation can serve both clinical needs and workforce development, making her a versatile contributor to human-centered robotics.

Research Focus

Key Achievements

4
H-Index
8
Papers
34
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Novel Task-Specific Upper-Extremity Rehabilitation System with Interactive Game-Based Interface for Stroke Patients
10 citations · 2019
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Irvine University, Texas A&M University, University of California, Irvine, New York University, Supélec

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago