Papers

12

Total Citations

181

H-Index

7

About

Aamir Saeed Malik is a leading researcher in computer vision, 3D imaging, and autonomous robotics, with a strong focus on underwater and humanoid systems. His work bridges the gap between theoretical algorithms and real-world applications, particularly in depth perception and robotic navigation. Malik made significant contributions to 3D tracking by comparing stochastic filtering methods, achieving 41 citations for advancing object tracking in dynamic environments. He also pioneered a novel triangulation-based technique for extracting depth and geometry from single 2D images, a breakthrough with 26 citations that reduces reliance on stereo cameras. In underwater robotics, his visual feedback-based heading control system for autonomous vehicles inspecting pipeline corrosion (40 citations) addresses critical challenges in deepwater environments. Malik further extended his impact to humanoid robotics, developing an auto-operated telepresence system for the Nao robot, and exploring 3D hand gesture recognition for telerobotics. His edited volume on depth map and 3D imaging applications consolidates cutting-edge algorithms for stereoscopic vision and robotic uses. With over 175 total citations, Malik’s interdisciplinary work continues to shape autonomous systems, from indoor robot navigation using Monte Carlo localization to cloud-based robotic architectures.

Research Focus

Key Achievements

7
H-Index
12
Papers
181
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of stochastic filtering methods for 3D tracking
41 citations · 2011
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Universiti Teknologi Petronas, Petronas (Malaysia), Laboratoire d’Électronique, Informatique et Image

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago