Zuraini Othman
Papers
1
Total Citations
3
H-Index
1
About
Zuraini Othman is a researcher specializing in robotics, artificial intelligence, and waste management technologies. Her work focuses on integrating cloud-based image classification with autonomous systems to address pressing environmental challenges. Her most-cited paper, "Comparison on Cloud Image Classification for Thrash Collecting LEGO Mindstorms EV3 Robot" (2018, 3 citations), explores the use of machine learning and robotics to improve waste collection efficiency. This study highlights the limitations of traditional waste management methods and proposes an innovative approach using cloud image processing to enhance the sorting and collection capabilities of autonomous robots. While her citation count is modest, Othman’s work is notable for its practical application of AI and robotics to real-world environmental problems, particularly in urban waste management. Her research contributes to the growing field of smart waste systems, offering scalable solutions that could reduce the environmental impact of improper waste disposal. Othman’s interdisciplinary approach, combining robotics, cloud computing, and sustainability, positions her as a forward-thinking researcher addressing one of the most critical issues of our time.
Research Focus
Key Achievements
Top Papers
- 1