Uvais Qidwai

Qatar University, Swinburne University of Technology

Papers

18

Total Citations

236

H-Index

10

About

Uvais Qidwai is a multifaceted robotics researcher whose work spans assistive technology, educational innovation, and autonomous systems. He has made particularly significant contributions at the intersection of robotics and autism spectrum disorder (ASD), pioneering the use of humanoid robots and robotic toys as therapeutic and educational tools for children with ASD — work that has garnered over 75 citations across multiple studies. His research on leveraging wearable sensors to predict challenging behaviors through heart rate monitoring demonstrates a thoughtful, data-driven approach to improving therapeutic outcomes. Beyond assistive robotics, Qidwai has advanced the field through contributions to swarm robotics for structural health monitoring (35 citations), amphibious quadruped robot design, and intelligent sensor-based obstacle avoidance systems. His IoT-driven railway defect detection work further showcases his versatility across applied domains. Equally passionate about education, Qidwai has championed project-based and contest-driven learning methodologies to engage students in computing and robotics disciplines. His "Fun to Learn" approach (31 citations) reflects a commitment to making STEM education more accessible and inspiring. With a career bridging human-centered design, autonomous systems, and pedagogy, Qidwai stands as a distinctive voice advocating for robotics that genuinely serves human needs.

Research Focus

Key Achievements

10
H-Index
18
Papers
236
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Humanoid Robot as a Teacher’s Assistant: Helping Children with Autism to Learn Social and Academic Skills
42 citations · 2019
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Qatar University, Swinburne University of Technology

Top Papers

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    Fun to learn
    31 citations · 2011
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago