Papers

1

Total Citations

8

H-Index

1

About

Sk. Zeeshan Murshed is a researcher whose work lies at the intersection of computer vision, image processing, and embedded robotics. His most-cited paper, “Controlling an embedded robot through image processing based object tracking using MATLAB” (2016, 8 citations), demonstrates a practical integration of real-time object detection with robotic control. This work contributes to the broader field of semantic object detection—identifying classes like humans, buildings, or cars in digital images and videos—and its application in smart environments, such as smart homes. By linking MATLAB-based image processing to embedded systems, Murshed’s research advances the development of autonomous, vision-guided robots capable of responding to their surroundings. His focus on bridging software algorithms with hardware control highlights a key contribution to accessible, low-cost robotic solutions. With a growing citation impact, Murshed’s work is a stepping stone for students and researchers exploring how computer vision can enable intelligent, responsive machines in everyday contexts.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Controlling an embedded robot through image processing based object tracking using MATLAB
8 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Maulana Abul Kalam Azad University of Technology, West Bengal

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago