UC San Diego
Zhang’s research focuses on wireless networking and mobile computing, more specifically on wireless network architectures that can achieve orders of magnitude performance gain over conventional networks, and computational sensing mechanisms that reuse wireless signals to sense ambient activities with near-vision precision. His research builds on an experimental foundation and is often validated through end-to-end system implementation. His team is the first to address the system-level challenges in realizing millimeter-wave networking, which promises to realize wire-speed connectivity anywhere, anytime.He also designed physical-layer informed protocols that can eliminate the performance glitches in mobile applications, such as mobile Web, video streaming, and virtual reality.
In addition, Zhang’s research augments commodity mobile devices with ambient intelligence, so that they can leverage ambient signals to track human/object locations and activities at near-vision precision. The wireless sensing modalities he developed provide emerging Internet of Things applications with certain enabling mechanisms, such as centimeter-precision indoor localization for smartphones, 3D orientation and position tracking for batteryless objects, etc.