Abbes Amira
De Montfort University, Qatar University, University of Sharjah
Papers
5
Total Citations
57
H-Index
2
About
Abbes Amira is a leading researcher at the intersection of reconfigurable computing, computer vision, and intelligent healthcare systems. His work focuses on developing innovative System-on-Chip (SoC) platforms and real-time algorithms that bridge the gap between hardware efficiency and complex sensing applications. A major contribution is his development of an IoT reconfigurable SoC platform for computer vision, a critical advancement for Industry 4.0 robotics. In healthcare, Amira has pioneered intelligent sensing systems that fuse real-time electromyography (EMG) and gaze tracking to assist individuals with spinal muscular atrophy, demonstrating a profound commitment to assistive technology. His most cited work, "Moving object tracking in clinical scenarios" (49 citations), applies stereo vision to track instruments during cardiac surgery and cerebral aneurysm clipping, directly enhancing surgical precision. Amira’s research also includes cost-effective heterogeneous multicore platforms for real-time stereo vision and multipurpose SoCs for metal detection, showcasing his versatility in embedded systems. Through these contributions, Amira has established himself as a key figure in creating practical, hardware-accelerated solutions for medical and robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2An IoT Reconfigurable SoC Platform for Computer Vision Applications2 citations · 2019
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