Papers

7

Total Citations

54

H-Index

4

About

Jafar Saniie is a prominent researcher whose work spans the intersecting domains of signal processing, robotics, computer vision, and embedded systems. His contributions have significantly advanced the fields of acoustic sensing and autonomous robotic platforms, with particular emphasis on practical, real-world applications. Saniie's early work on acoustic sensor arrays and direction of arrival estimation laid a strong foundation for sound source localization technologies applicable to structural health monitoring, security systems, and collision avoidance, garnering 18 citations as his most recognized contribution. His development of real-time color-based robotic sorting systems (16 citations) demonstrated a keen ability to translate computer vision techniques into functional automation solutions. Saniie has further pushed boundaries in autonomous navigation, contributing to 3D mapping, SLAM applications using RGB-D cameras, and multi-sensor robotic platforms. His more recent projects reflect an expanding research vision, including autonomous security patrol robots and quadruped robots engineered for urban air quality monitoring. Across his body of work, Saniie consistently bridges theoretical algorithms with embedded hardware implementation, making him a valuable figure for students and engineers interested in intelligent robotics and sensing systems.

Research Focus

Key Achievements

4
H-Index
7
Papers
54
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Direction of Arrival Estimation and Localization Using Acoustic Sensor Arrays
18 citations · 2011
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Illinois Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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