About

Adel Al-Jumaily is a prominent researcher whose work spans biomedical engineering, rehabilitation robotics, and intelligent autonomous systems. His most influential contributions lie at the intersection of electromyography (EMG) signal processing and robotic-assisted rehabilitation, where he has pioneered methods for translating human muscle signals into precise joint angle predictions. His 2013 study on upper limb joint angle estimation using surface EMG garnered 70 citations, while his earlier work applying artificial neural networks to shoulder angle prediction (2012, 40 citations) demonstrated the practical viability of EMG-driven rehabilitation systems. Beyond rehabilitation engineering, Al-Jumaily has made significant strides in assistive technologies for aging populations, with his 2019 review of ambient assisted living technologies earning 68 citations — reflecting the urgency and global relevance of designing systems for cognitively and physically impaired older adults. His research portfolio also encompasses autonomous robot navigation, probabilistic path planning, and cloud-based social robotics frameworks, illustrating a remarkably broad technical vision. Notable hardware contributions include the CHAD compact hand-assistive device (2021) and wearable upper limb robotics systems. With over 280 cumulative citations, Al-Jumaily's work meaningfully advances human-centered robotics and has helped shape modern rehabilitation engineering.

Research Focus

Key Achievements

8
H-Index
27
Papers
353
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Estimation of Upper Limb Joint Angle Using Surface EMG Signal
70 citations · 2013
📈 Most Prolific Year: 2005 (4 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: University of Technology Sydney, Intelligent Systems Research (United States), École nationale supérieure de techniques avancées Bretagne, Edith Cowan University, University of Kuala Lumpur, University of Technology Malaysia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago