Mohd Azfar Miskam

Universiti Teknologi MARA, Faculty (United Kingdom)

Papers

15

Total Citations

178

H-Index

8

About

Mohd Azfar Miskam is a pioneering researcher at the intersection of robotics, assistive technology, and special education, with a focused dedication to improving the lives of children with autism spectrum disorder (ASD). His work centers on leveraging humanoid robotics — particularly the NAO robot by Aldebaran Robotics — as a therapeutic and educational tool to address the core social, communicative, and behavioral challenges associated with autism. Miskam's most influential contribution, cited 37 times, introduced the NAO robot as an emotion recognition teaching tool through an innovative Android application, enabling children with autism to engage with nine distinct emotional poses in an interactive guessing game format. Building on this, his research explored game-based learning frameworks, curriculum-integrated robotic interventions, and therapist-validated gesture systems, collectively accumulating over 160 citations across his body of work. Beyond autism intervention, Miskam has demonstrated breadth in his robotics expertise, investigating sensor-based navigation, vision tracking systems, and cognitive interaction programming using Choregraphe and Python. His experimental frameworks for categorizing special education applications further bridge clinical practice with technological innovation. Miskam's research stands as a meaningful contribution to socially assistive robotics, offering evidence-based pathways for using technology to support neurodiverse learners.

Research Focus

Key Achievements

8
H-Index
15
Papers
178
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Humanoid robot NAO as a teaching tool of emotion recognition for children with autism using the Android app
37 citations · 2014
📈 Most Prolific Year: 2015 (6 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Universiti Teknologi MARA, Faculty (United Kingdom)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago