Papers
2
Total Citations
70
H-Index
2
About
Wasiq Khan is a leading researcher at the intersection of autonomous systems and smart city infrastructure. His work primarily focuses on the synergistic integration of fully autonomous ground vehicles (FAGVs) within urban environments, leveraging artificial intelligence to bridge the gap between current automation levels and full, level-5 autonomy. Khan’s most cited paper, “A Framework for the Synergistic Integration of Fully Autonomous Ground Vehicles With Smart City” (2020, 66 citations), provides a foundational blueprint for deploying FAGVs on city roads by synthesizing knowledge from sensors, actuators, and telematics. This work has been instrumental in shaping how autonomous vehicles interact with dynamic smart city ecosystems. Additionally, his research on multi-modal sensing for cognitive robot control, as detailed in “Situation Assessment Through Multi-Modal Sensing Of Dynamic Environments To Support Cognitive Robot Control” (2015), advances the capability of robotic systems to assess and respond to complex, changing environments. Through these contributions, Khan has established himself as a key figure in developing intelligent, context-aware autonomous systems that promise to redefine urban mobility and robotic assistance.
Research Focus
Key Achievements
Top Papers
- 1
- 2