Kashif Saleem

Papers

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About

Kashif Saleem is a researcher at the forefront of intelligent control systems and autonomous robotics, with a focus on optimizing performance in micro-robotics and unmanned aerial vehicles (UAVs). His work bridges meta-heuristic optimization and practical engineering design, addressing critical challenges in precision control and energy efficiency. Saleem’s most cited paper, “A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller” (2025, 8 citations), introduces a novel fusion of the Arithmetic Optimization Algorithm and Rat Swarm Optimization to enhance PID controller tuning for micro-robotic systems, achieving superior positional accuracy. In another influential study, “An Energy-Efficient and Safe Landing Multirotor Design for Drones” (2024, 4 citations), he tackles the growing demand for reliable UAVs in defense, agriculture, and disaster response by proposing a multirotor design that minimizes energy consumption while ensuring safe landings. Though early in his career, Saleem’s contributions demonstrate a clear impact on advancing autonomous systems, with his hybrid optimization approach offering a scalable solution for precision control. His work is particularly notable for its practical applications, aiming to make drones more efficient and safer for real-world missions.