M. A. H. Akhand

Khulna University of Engineering and Technology

Papers

Total Citations

H-Index

About

M. A. H. Akhand is a researcher specializing in computational intelligence, fuzzy logic systems, and evolutionary optimization techniques, with a particular focus on their applications in control engineering and robotics. His work has made meaningful contributions to the design and optimization of advanced fuzzy logic controllers, addressing real-world challenges such as dynamic uncertainty in robot manipulators. Among his most notable contributions is the development of the Type-2 Quantum Fuzzy Logic Controller (T2QFLC), published in 2012, which innovatively integrates interval type-2 fuzzy logic with quantum genetic algorithms to achieve superior controller optimization. This work, garnering 21 citations, demonstrates a sophisticated approach to handling unstructured dynamical uncertainties in robotic systems. Complementing this, his 2011 research introduced a genetic algorithm-driven framework for the simultaneous design of type-2 membership functions and rule sets, streamlining the traditionally complex process of fuzzy controller design and earning 9 citations. Akhand's research reflects a consistent drive to bridge soft computing methodologies with practical engineering applications, pushing the boundaries of intelligent control systems. His work offers valuable insights for students and researchers exploring evolutionary computation, type-2 fuzzy systems, and autonomous robotic control.