Sakib Mahmud Khan

Papers

Total Citations

H-Index

About

Sakib Mahmud Khan is a researcher at the forefront of autonomous vehicle (AV) simulation and intelligent transportation systems. His work centers on developing high-performance computing solutions to bridge the gap between robotics and traffic engineering. Khan’s major contribution is the creation of Webots.HPC, a parallel simulation pipeline that integrates the Webots robotics simulator with microscopic traffic models, enabling realistic, large-scale AV testing. This innovation addresses a critical bottleneck in AV development: the need for cost-effective, scalable simulation environments that capture both vehicle dynamics and complex traffic interactions. His research has garnered attention, with his most-cited paper accumulating 5 citations since 2022, reflecting growing interest in efficient simulation tools. Khan’s work is notable for its practical impact, offering a framework that accelerates the design and evaluation of autonomous driving systems. By tackling the computational challenges of integrated simulation, he is helping to pave the way for safer, more reliable AVs, making his contributions essential reading for students and researchers in robotics, traffic engineering, and high-performance computing.