Syeda Mariam Ahmed

National University of Singapore

Papers

6

Total Citations

55

H-Index

5

About

Syeda Mariam Ahmed is a robotics researcher whose work bridges the gap between automated manufacturing and intelligent perception, with a primary focus on robotic welding for complex industrial applications. Her most significant contribution lies in developing frameworks for automated welding of tubular TKY joints, a critical challenge for the marine and offshore industry. Her seminal 2016 paper on object detection and motion planning for this task, which has garnered 23 citations, introduced a novel approach using RGB-D sensors to detect joint poses and plan welding trajectories. Ahmed has also made notable advances in 3D point cloud processing, proposing novel edge and corner detection algorithms that enable robots to perceive and navigate complex geometries. Her work on collision-free path planning and automated bead layout for multi-pass welding addresses the practical need to replace tedious "teaching and playback" methods in industrial robotics. Beyond welding, Ahmed has explored humanoid robot control, developing nonlinear stabilization methods for standing posture. Her research on automatic visual inspection for ship hull surface defect detection further demonstrates her commitment to solving real-world industrial challenges through robotics and computer vision.

Research Focus

Key Achievements

5
H-Index
6
Papers
55
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Object detection and motion planning for automated welding of tubular joints
23 citations · 2016
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: National University of Singapore

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago