Mohammad H. Mahoor

University of Denver

Papers

26

Total Citations

683

H-Index

12

About

Mohammad H. Mahoor is a pioneering researcher at the intersection of artificial intelligence, human-robot interaction, and assistive technology, with a particular focus on developing socially assistive robots for vulnerable populations. His work has fundamentally advanced how intelligent robotic systems can support older adults with depression and dementia, as well as children on the autism spectrum. Mahoor's most influential contribution is the development of Ryan, a socially assistive companion robot integrating artificial emotional intelligence to engage elderly individuals experiencing cognitive and emotional decline. His 2022 paper on this system has already garnered 159 citations, reflecting its significant impact on the field. His earlier 2017 pilot study on the Companionbot established foundational evidence that life-like robots could meaningfully improve quality of life for older adults, earning 107 citations. Equally notable is Mahoor's sustained investigation into robot-assisted autism therapy. Across multiple studies involving platforms such as the NAO robot, Zeno, and custom therapeutic systems, he has demonstrated measurable improvements in eye-gaze attention, emotion recognition, and imitation skills among children with Autism Spectrum Disorder. His music-therapy robotic platform further illustrates his creative, interdisciplinary approach. Collectively, Mahoor's body of work represents a compelling vision of compassionate technology — one where robots serve as genuine therapeutic partners for those who need them most.

Research Focus

Key Achievements

12
H-Index
26
Papers
683
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study
159 citations · 2022
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: University of Denver

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago