Khurram Monir Rabby
Papers
1
Total Citations
22
H-Index
1
About
Dr. Khurram Monir Rabby is a leading researcher at the intersection of human-robot collaboration and cognitive modeling. His work focuses on developing intelligent frameworks that enable seamless, safe, and efficient teamwork between humans and autonomous systems. His most cited paper, "An Effective Model for Human Cognitive Performance within a Human-Robot Collaboration Framework" (2019, 22 citations), introduces a novel time-variant approach to modeling human cognitive states during collaborative tasks. This contribution is critical for designing adaptive robots that can anticipate human performance fluctuations, thereby enhancing both productivity and safety in shared workspaces. Beyond this foundational work, Dr. Rabby’s research explores how cognitive load and situational awareness impact human-robot interaction, pushing the boundaries of assistive robotics in manufacturing, healthcare, and service industries. His models provide a robust theoretical basis for next-generation collaborative robots that are not just tools, but true partners. With a growing citation footprint, Dr. Rabby is establishing himself as a key voice in the effort to make human-robot teams more intuitive, responsive, and effective.
Research Focus
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Top Papers
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