Papers
54
Total Citations
1,145
H-Index
18
About
Fady Alnajjar is a prominent researcher at the intersection of artificial intelligence, robotics, and healthcare, with particular expertise in rehabilitation engineering, assistive technologies, and cognitive intervention systems. His work spans some of the most pressing challenges in modern medicine, including stroke recovery, age-related cognitive decline, autism spectrum interventions, and AI-driven diagnostic systems. Alnajjar has made significant contributions through rigorous systematic reviews and applied research that bridge cutting-edge technology with clinical needs. His 2021 review of AI applications in robotics and precision medicine (159 citations) has become a key reference for researchers navigating the complexities of deploying AI in healthcare. Equally influential is his examination of exoskeletons combined with virtual and augmented reality for stroke rehabilitation (150 citations), which helped consolidate evidence for immersive technologies as motivational tools in patient recovery. His investigations into robotic cognitive training for aging populations, personalized autism interventions, and privacy-preserving smart home technologies further demonstrate his commitment to vulnerable communities. With over 700 cumulative citations across his top works, Alnajjar has established himself as a thought leader shaping how robots and AI are responsibly integrated into education, medicine, and eldercare. His textbook *Robots in Education* reflects his dedication to making these advances accessible to the next generation of researchers and practitioners.
Research Focus
Key Achievements
Top Papers
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- 7Trends and Technologies in Rehabilitation of Foot Drop: A Systematic Review50 citations · 2020
- 8Towards Privacy-Preserved Aging in Place: A Systematic Review48 citations · 2021
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- 10Robots in Education32 citations · 2021