Mohd Nizam Husen
Papers
2
Total Citations
8
H-Index
2
About
Mohd Nizam Husen is a researcher whose work bridges robotics, control systems, and intelligent indoor localization. His primary research areas include rehabilitation robotics, optimal control strategies, and Wi-Fi-based positioning for human-robot interaction. Husen’s most cited paper, "Optimal PID controller with evolutionary optimization algorithms for rehabilitation robots" (2025, 6 citations), addresses a critical challenge in assistive technology: achieving precision and smoothness in controlling upper-limb rehabilitation robots with five degrees of freedom. By analyzing a wide range of optimization techniques, he contributes to safer, more effective robotic therapy. His earlier work, "Recalibration-free indoor localization with Wi-Fi fingerprinting of invariant received signal strength" (2016, 2 citations), tackles the persistent problem of Wi-Fi signal instability in indoor environments. This research is foundational for enabling robots to locate humans reliably before interaction, without frequent recalibration. Though early in citation impact, Husen’s focus on practical, real-world applications—from rehabilitation to seamless human-robot collaboration—highlights his commitment to advancing assistive and autonomous systems. His work is particularly relevant for students and researchers interested in the intersection of control engineering, optimization, and robotics.
Research Focus
Key Achievements
Top Papers
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- 2