Mohammad Tariqul Islam
Khulna University of Engineering and Technology, Xi'an Jiaotong University
Papers
4
Total Citations
30
H-Index
3
About
Mohammad Tariqul Islam is a versatile researcher whose work spans robotics, medical imaging, environmental science, and advanced manufacturing. His key contributions include developing a convolutional auto-encoder and independent component analysis-based method for automatic place recognition in mobile robots, enabling robust SLAM performance under invariant seasonal conditions—a critical advancement for autonomous navigation. In medical imaging, he pioneered the first implementation of an extended line-ellipse-line trajectory for C-arm CT on a robotic angiography system, significantly improving axial volume coverage and reducing cone-beam artifacts. His environmental research employed numerical modeling and direct observation to investigate hypoxia in shallow wind-driven bays, revealing how diurnal wind variation and summer stratification trigger oxygen depletion in Corpus Christi Bay. Most recently, Islam has explored multi-material additive manufacturing for integrated electromechanical systems, enabling co-deposition of conductors, insulators, and polymers. With over 30 citations across his most-cited works, his interdisciplinary approach demonstrates a unique ability to bridge robotics, biomedical engineering, and environmental fluid dynamics, making him a notable figure in applied engineering research.
Research Focus
Key Achievements
Top Papers
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