Paneed F. Jalili

Boston University

Papers

1

Total Citations

3

H-Index

1

About

Paneed F. Jalili’s research sits at the intersection of motor learning, human-computer interaction, and rehabilitation engineering. His work explores how visual dynamics cues can transform the way people learn complex physical interactions, particularly in clinical settings like gait training. In his most-cited study, Jalili developed a virtual analog of manual gait training to investigate how visual feedback helps therapists master the subtle dynamics of patient locomotion. This work, though early in its citation impact, lays a critical foundation for designing more intuitive rehabilitation tools and training simulators. By bridging perceptual psychology and biomechanics, Jalili’s contributions offer new pathways for improving motor skill acquisition in both healthy and clinical populations. His research is especially relevant for students and practitioners interested in how augmented feedback can accelerate learning in physically demanding tasks. As his citation profile grows, Jalili is emerging as a thoughtful voice in the science of human movement and interactive training systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Visual dynamics cues in learning complex physical interactions
3 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Boston University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago