Quadri Noorulhasan Naveed
Papers
2
Total Citations
40
H-Index
2
About
Quadri Noorulhasan Naveed is a researcher at the forefront of integrating machine intelligence with industrial automation and robotics. His primary research areas span machine learning, deep learning, machine vision, and robotic process automation (RPA), with a strong focus on optimizing control systems for real-world applications. Naveed’s major contributions include pioneering the use of machine learning techniques to enhance wireless communication for robotic process automation, enabling more adaptive and intelligent automation in sectors like customer support and manufacturing. His work on optimizing sorting robot control systems through deep learning and machine vision has advanced coal gangue dry separation technology, improving efficiency in coal washing plants by comparing traditional PID control with dynamic domain fuzzy self-tuning PID methods. With over 40 citations across his most-cited papers, including “Wireless Communication for Robotic Process Automation Using Machine Learning Technique” (25 citations) and “Optimization of Sorting Robot Control System Based on Deep Learning and Machine Vision” (15 citations), Naveed’s research demonstrates tangible impact in bridging AI and industrial robotics. His notable achievements include developing novel approaches for determining optimal grasping positions and orientations, showcasing his commitment to solving complex, practical challenges in automation.
Research Focus
Key Achievements
Top Papers
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