Sher Afghan Khan
Papers
2
Total Citations
151
H-Index
2
About
Dr. Sher Afghan Khan is a leading figure in multi-criteria decision-making (MCDM) and intelligent control systems, whose work bridges theoretical innovation with practical engineering applications. His most impactful contribution, the 2021 paper "Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS," has garnered 122 citations, establishing a new benchmark for robust decision-making frameworks. By fusing traditional MCDM techniques into hybrid models, Dr. Khan addressed the limitations of outdated methods, providing industries with more reliable tools for complex selection problems. In parallel, his 2023 study on "Speed Control of Wheeled Mobile Robot by Nature-Inspired Social Spider Algorithm-Based PID Controller" (29 citations) showcases his expertise in bio-inspired optimization, where he integrated swarm intelligence with PID control to enhance robotic mobility and precision. This work reflects his broader focus on intelligent automation and control systems. Dr. Khan’s research is distinguished by its cross-disciplinary impact, offering solutions that are both theoretically rigorous and practically deployable. His contributions continue to influence researchers and engineers in robotics, manufacturing, and decision science, making him a pivotal voice in advancing hybrid MCDM and nature-inspired control methodologies.
Research Focus
Key Achievements
Top Papers
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