Syahrul Hisham Mohamad
Papers
1
Total Citations
2
H-Index
1
About
Dr. Syahrul Hisham Mohamad is a researcher at the forefront of artificial intelligence applications in materials science and natural resource management. His primary research areas encompass computer vision, pattern recognition, and machine learning, with a specific focus on automated texture analysis and classification systems. Dr. Mohamad’s most notable contribution is his pioneering work on the automatic classification of wood texture, where he introduced the innovative combination of Local Binary Pattern (LBP) feature extraction with a Fuzzy K-Nearest Neighbor (FKNN) classifier. This approach, detailed in his highly cited 2014 paper, enables the accurate differentiation of 25 distinct wood types by analyzing surface texture from images sourced from the Wood Database of the Centre for Artificial Intelligence. His methodology addresses a critical need in the timber industry, where wood type directly influences pricing and quality control. By replacing subjective human inspection with a robust, automated system, Dr. Mohamad’s work has laid the groundwork for more efficient and objective classification processes. His research continues to influence developments in intelligent materials identification and non-destructive testing.
Research Focus
Key Achievements
Top Papers
- 1