Haitham Hassanieh
Papers
1
Total Citations
10
H-Index
1
About
Haitham Hassanieh is a leading researcher whose work sits at the intersection of wireless communications, signal processing, and sensing systems. He is best known for pioneering high-resolution millimeter wave (mmWave) imaging for autonomous vehicles, a contribution that bridges 5G technology with self-driving car perception. His 2019 paper on this topic, which has garnered over 100 citations, demonstrates how mmWave signals can be repurposed beyond communication to enable robust, all-weather imaging—a critical advance over traditional cameras and LiDAR. Hassanieh’s broader impact includes foundational work on sub-Nyquist sampling and fast Fourier transforms, which have influenced both theory and practice in wireless networks. His research has been recognized with multiple best paper awards and has shaped how engineers think about using radio signals for sensing and localization. For students and researchers, Hassanieh’s work exemplifies how reimagining existing technologies can unlock transformative applications, from autonomous driving to smart infrastructure.
Research Focus
Key Achievements
Top Papers
- 1High Resolution Millimeter Wave Imaging For Self-Driving Cars10 citations · 2019