Akhilesh Sharma

Papers

Total Citations

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About

Akhilesh Sharma is a researcher whose work spans intelligent control systems, biomedical technologies, and agricultural AI. His primary contributions lie in developing robust control strategies for industrial applications, particularly through his highly cited 2023 paper on "Robust Control of SEDCM by Fuzzy-PSO," which has garnered 10 citations. This work addresses the critical need for precise rotational control in industries such as robotics and manufacturing, using a hybrid fuzzy logic and particle swarm optimization approach to enhance the performance of separately excited DC motors. Sharma also explores the intersection of technology and public health, as seen in his 2021 study on "Emerging Technologies for Pandemic and Its Impact," which examines how digital tools can mitigate health crises. Additionally, his 2022 paper on "Performance Evaluation of Image-Based Diseased Leaf Identification Model Using CNN and GA" demonstrates his versatility in applying deep learning and genetic algorithms to agricultural challenges, achieving 2 citations. By combining theoretical innovation with practical problem-solving, Sharma’s work offers valuable insights for students and researchers in control engineering, AI, and sustainable technology.