Maleeha Ayub

University of Engineering and Technology Lahore

Papers

Total Citations

H-Index

About

Maleeha Ayub is a researcher at the forefront of autonomous systems and security technology, with a primary focus on integrating unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) for next-generation surveillance. Her most-cited work, “Next Generation Security And Surveillance System Using Autonomous Vehicles” (2018), has garnered 15 citations, establishing her as a key voice in developing reliable, efficient navigation algorithms for autonomous robotics. Ayub’s major contribution lies in addressing the complex challenge of fusing UGV and UAV capabilities to create robust, real-time security frameworks—a critical advancement for both civilian and defense applications. Her research bridges the gap between theoretical robotics and practical deployment, emphasizing algorithmic efficiency and system reliability. Beyond this flagship paper, Ayub’s work continues to influence the evolution of autonomous vehicle navigation, pushing boundaries in sensor integration and path planning. For students and researchers exploring the intersection of robotics, AI, and security, Ayub’s research offers a compelling blueprint for how autonomous systems can transform surveillance, making it smarter, faster, and more adaptive. Her growing citation record reflects a promising trajectory in a field poised for explosive growth.