Natrah Abdullah

Universiti Teknologi MARA

Papers

2

Total Citations

5

H-Index

2

About

Natrah Abdullah’s research lies at the intersection of robotics, artificial intelligence, and technology-enhanced education, with a particular focus on solving real-world problems through computational innovation. Her work on cloud image classification for waste management, exemplified by the thrash-collecting LEGO Mindstorms EV3 robot, addresses a pressing global crisis: the inefficiency of current waste disposal systems. By integrating cloud-based image recognition with autonomous robotics, she proposes a scalable, intelligent solution to urban waste challenges—a contribution that, while early in its citation impact (3 citations), signals a practical, interdisciplinary approach to environmental sustainability. More recently, Abdullah has turned her attention to educational technology, conducting a systematic literature review on technology-enhanced online learning for low achievers in introductory programming. This 2023 study (2 citations) fills a critical gap in understanding how digital tools can support struggling students, offering evidence-based insights for inclusive pedagogy. Though her citation counts are modest, her work demonstrates a commitment to bridging technical innovation with social impact—whether through smarter robots or more equitable learning environments. Abdullah’s dual focus on applied robotics and educational equity marks her as a researcher dedicated to using technology as a force for practical, human-centered change.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Comparison on Cloud Image Classification for Thrash Collecting LEGO Mindstorms EV3 Robot
3 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Universiti Teknologi MARA

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago