Swakshar Deb

University of Dhaka

Papers

1

Total Citations

75

H-Index

1

About

Dr. Swakshar Deb is a leading researcher at the intersection of artificial intelligence and neurorehabilitation, with a primary focus on developing intelligent systems for post-stroke recovery. His most impactful work, the highly cited 2022 systematic review "AI-Driven Stroke Rehabilitation Systems and Assessment," has garnered 75 citations and critically examines how AI can address the global shortage of skilled therapists by automating patient monitoring and program evaluation. Dr. Deb’s contributions lie in designing AI frameworks that not only restore lost motor skills but also provide objective, data-driven assessments of rehabilitation efficacy. By tackling the inadequacy and high cost of traditional therapy, his research paves the way for scalable, accessible rehabilitation solutions. His work is notable for bridging the gap between clinical practice and cutting-edge machine learning, offering a roadmap for future smart rehabilitation systems. Dr. Deb continues to advance the field by developing algorithms that personalize therapy and track patient progress in real-time, making him a pivotal figure in the movement toward technology-driven, patient-centered care.

Research Focus

Key Achievements

1
H-Index
1
Papers
75
Total Citations
75
Avg Citations/Paper
🏆 Most Cited Paper
AI-Driven Stroke Rehabilitation Systems and Assessment: A Systematic Review
75 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Dhaka

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago