Sohail Iqbal
Papers
1
Total Citations
2
H-Index
1
About
Sohail Iqbal is a researcher whose work centers on autonomous aerial systems, with a particular focus on unmanned aerial vehicles (UAVs) and intelligent flight guidance. His research addresses the complex challenges of real-world UAV deployment, including trajectory planning, navigation modeling, and robust operation under environmental disturbances such as atmospheric turbulence. His most notable contribution, "4D Trajectory Generation for Guidance Module of a UAV for a Gate-to-Gate Flight in Presence of Turbulence" (2016), demonstrates his commitment to solving practical problems in UAV autonomy. The work develops an offline trajectory generation algorithm designed to enable safe and precise flight routing, a critical advancement for safety-of-life applications such as goods delivery in challenging conditions. This research reflects a broader interest in bridging theoretical navigation models with deployable, real-world autonomous systems. While Iqbal's citation profile is still developing, his focus on safety-critical UAV applications positions him within a rapidly growing and societally important field. As autonomous aerial delivery systems become increasingly mainstream, foundational work like his — addressing guidance reliability under turbulent conditions — will likely gain greater recognition and influence among both academic researchers and industry practitioners working on next-generation aerial robotics.
Research Focus
Key Achievements
Top Papers
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