Reza Hassanpour

Papers

Total Citations

H-Index

About

Reza Hassanpour’s research bridges human-computer interaction and industrial robotics, with a focus on gesture recognition and real-time fault diagnosis. His early work, “Region Based Hand Gesture Recognition” (2008, 11 citations), addresses the evolution of user interfaces for 3-D applications, proposing a novel method for intuitive interaction beyond traditional devices like mice and keyboards. This contribution laid groundwork for gesture-based control systems. More recently, Hassanpour tackles critical challenges in industrial automation with “Real time fault diagnosis in industrial robotics using discrete and slantlet wavelet transformations” (2025, 2 citations). This study introduces a hardware-based framework integrating Discrete Wavelet Transform (DWT) and Slantlet Transform (SLT) to detect faults in precision-driven robotic systems, enhancing operational reliability and performance. His work demonstrates a trajectory from foundational interaction design to applied engineering solutions, with potential impact on manufacturing and automation sectors. Though citation counts are modest, the practical significance of his fault diagnosis research—addressing real-time reliability in industrial settings—marks a notable achievement. Hassanpour’s career reflects a commitment to advancing both user-centric interfaces and robust robotic systems, making his research relevant for students and engineers exploring human-robot collaboration and industrial automation.