Mujeev Khan
Papers
1
Total Citations
15
H-Index
1
About
Mujeev Khan is a leading researcher in the field of advanced driver assistance systems (ADAS) and real-time embedded hardware design. His primary contributions lie in the development of FPGA-based systems for object detection and range estimation, with a particular focus on utilizing Frequency-Modulated Continuous Wave (FMCW) millimeter wave radar. His most-cited work, "Design and Implementation of FPGA based System for Object Detection and Range Estimation used in ADAS Applications utilizing FMCW Radar" (2024, 15 citations), presents a novel hardware architecture that enables real-time, high-precision environmental sensing for autonomous vehicles and robotics. This work is notable for bridging the gap between complex radar signal processing and efficient, low-latency hardware implementation, addressing critical challenges in safety-critical automotive systems. Khan’s research has significant implications for the future of autonomous navigation, offering a scalable and robust solution for obstacle detection and distance measurement. His achievements demonstrate a strong commitment to translating theoretical algorithms into practical, deployable systems, making him a key contributor to the next generation of intelligent transportation technologies.
Research Focus
Key Achievements
Top Papers
- 1