Suraj Jog

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About

Suraj Jog is a researcher at the forefront of integrating wireless communications with sensing and autonomous systems. His work primarily focuses on millimeter wave (mmWave) technology, high-resolution imaging, and the intersection of networking signals with robotics and self-driving vehicles. Jog’s most notable contribution is his pioneering exploration of how 5G mmWave signals can be repurposed for high-resolution imaging in autonomous cars, a concept detailed in his widely cited 2019 paper, "High Resolution Millimeter Wave Imaging For Self-Driving Cars" (10 citations). This work addresses the critical challenge of enabling vehicles to perceive their environment in adverse conditions where traditional sensors like cameras and LiDAR may fail. By leveraging the inherent properties of mmWave signals—such as their ability to penetrate fog, rain, and dust—Jog has proposed a novel approach that could significantly enhance the reliability and safety of self-driving technology. His research bridges the gap between communication and sensing, offering a dual-use paradigm that maximizes the utility of existing wireless infrastructure. With a growing citation impact, Jog is recognized as an emerging leader in the field of mmWave sensing, and his work continues to inspire new directions in autonomous navigation and smart transportation systems.