Rate My Professor Sheikh Azid

Dr. Azid's research specializations include control engineering, mechatronics, robotics, robust controls, disturbance and state estimations, aerial and underwater robotics, and quadrotor control strategies. He has published extensively in peer-reviewed journals and conferences, with key works such as 'Analysis and performance of a low cost SMS based home security System' (2011), which has garnered 97 citations; 'Wind gust estimation for precise quasi-hovering control of quadrotor aircraft' (2021, 24 citations); 'Smart Agriculture Drone for Crop Spraying Using Image Processing and Deep Learning' (2024, 31 citations); 'Autonomous Leader-Follower Formation of Vehicular Robots Using the Lyapunov Method' (2024, 8 citations); and 'Direct synthesis approach to design PDμ based smith predictor' (2024). Recent publications also cover topics like coverage path planning for UAVs (2025), robust control of quadrotors with unknown disturbances (2025), and dynamic modeling of unmanned underwater vehicles (2024). As a Member of IEEE, his contributions advance precise trajectory tracking, wind disturbance rejection, and applications in smart agriculture and renewable energy inspections. He participates in collaborative projects, including 'Precision Application of Anaerobic Digestion Effluent in Dairy Pasture Production Systems' as co-investigator.