M.K.A. Ahamed Khan
University of Selangor, UCSI University, Huaiyin Institute of Technology
Papers
19
Total Citations
212
H-Index
9
About
M.K.A. Ahamed Khan is a robotics and intelligent systems researcher whose work spans mobile robotics, swarm intelligence, control optimization, and rehabilitation engineering. His most influential contribution — a 2016 study on mobile robot path planning using Ant Colony Optimization (ACO), now with 48 citations — demonstrated the effectiveness of bio-inspired algorithms in navigating complex environments, establishing him as a key voice in swarm intelligence-based robotics. His research on PID controller optimization for high-speed line tracking robots (31 citations) further cemented his expertise in precision control systems. Khan has also made meaningful strides in biomedical robotics, exploring sEMG-based joint torque estimation using swarm intelligence to improve robotic assistive devices for stroke patients, and developing an interval type-2 fuzzy auto-tuning PID controller for rehabilitation systems. Beyond research, he demonstrates a strong commitment to robotics education, developing pipeline inspection and tennis ball retrieval robots as pedagogical tools and spearheading programs to engage school students with engineering through robotics. With over 180 cumulative citations, Khan's interdisciplinary contributions meaningfully bridge advanced control theory, human-assistive technology, and hands-on engineering education.
Research Focus
Key Achievements
Top Papers
- 1Mobile robot path planning using Ant Colony Optimization48 citations · 2016
- 2Optimization of PID Control for High Speed Line Tracking Robots31 citations · 2015
- 3
- 4Development of a Laboratory-scale Pipeline Inspection Robot17 citations · 2015
- 5
- 6
- 7
- 8Robotic Training to Bridge School Students with Engineering9 citations · 2015
- 9A semi-automated floor tiling robotic system9 citations · 2011
- 10Design and Development of an Obstacle Avoidance Mobile-controlled Robot8 citations · 2019