Naif Alsharabi
Papers
2
Total Citations
16
H-Index
2
About
Naif Alsharabi is an emerging researcher at the intersection of computer vision and intelligent automation. His primary research areas include real-time object detection, robotic process automation (RPA), and their practical applications in industry. In his highly cited 2023 work, "Real-Time Object Detection Overview: Advancements, Challenges, and Applications," Alsharabi provides a comprehensive survey of detection techniques critical for autonomous vehicles, surveillance, and augmented reality—a paper that has already garnered 11 citations, signaling its growing influence in the computer vision community. He further demonstrates the breadth of his expertise in "Proposed Framework for Managing Customer Queries in Banking Sector using Robotic Process Automation," where he explores how RPA can streamline repetitive tasks in financial services, achieving 5 citations. By bridging the gap between cutting-edge AI perception systems and real-world automation challenges, Alsharabi’s work offers practical frameworks for deploying intelligent systems in high-stakes environments. His research is particularly valuable for students and practitioners seeking to understand how object detection and process automation can be integrated to solve complex, real-world problems.
Research Focus
Key Achievements
Top Papers
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