Muhammad Umar Khan

University of Engineering and Technology Taxila

Papers

Total Citations

106

H-Index

About

Muhammad Umar Khan is a researcher at the forefront of intelligent systems, specializing in the integration of the Internet of Things (IoT), wireless sensor networks, and embedded systems for autonomous robotics and environmental perception. His work bridges the gap between sensing and decision-making, with a core focus on enabling machines to understand and navigate their surroundings. Khan’s most impactful contribution is the development of an IoT and Wireless Sensor Network-based Autonomous Farming Robot, a project that has garnered 49 citations for its practical application of remote agricultural monitoring. He has also made significant strides in behavioral robotics through automatic scene recognition, achieving 48 citations for his work on classifying complex acoustic scenes in real-time—a critical step for context-aware robots. Additionally, his research on embedded system design for visual scene classification (9 citations) demonstrates his commitment to low-power, compact solutions for computer vision. By combining acoustic and visual classification with IoT-driven autonomy, Khan is advancing the next generation of intelligent, field-deployable robots, making him a notable figure in the intersection of robotics, embedded systems, and smart agriculture.