Animesh Kumar Paul

Khulna University of Engineering and Technology

Papers

Total Citations

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About

Animesh Kumar Paul is a researcher specializing in computational intelligence, with a particular focus on adaptive control systems and evolutionary optimization. His work bridges fuzzy logic and genetic algorithms, aiming to automate the design of intelligent controllers without reliance on human expertise or pre-existing numerical data. In his most cited paper, “Adaptive Fuzzy Logic Controllers Using Hybrid Genetic Algorithms” (2019), Paul introduced a two-phase framework that integrates hybrid genetic algorithms to autonomously tune fuzzy logic controllers, significantly reducing manual intervention in complex system design. Though his citation count is still growing—with the paper accumulating 3 citations to date—this foundational work demonstrates his commitment to advancing self-adaptive control systems. Paul’s research holds promise for applications in robotics, industrial automation, and other domains requiring real-time decision-making under uncertainty. His contributions represent a step toward fully autonomous controller synthesis, offering a scalable alternative to traditional expert-driven methods. As an emerging voice in the field, Paul’s work is poised to influence future developments in intelligent system design and optimization.