|The project investigates cross-layer techniques that can enable a high-quality immersive experience through extended reality (AR/VR/MR) over high-speed, unreliable mmWave wireless networks.
|The main goal of the project is to develop a new class of techniques that exploits network level coordination between access points in mmWave WiFi to reduce beamforming overhead, improve coverage and blockage resilience.
|The focus of the project is to secure RIS-assisted mmWave networks from adversarial transmissions through development of authentication and physical layer key generation techniques.
|The project focuses on how mmWave radars and WiFi devices can be leveraged for creating a low-cost sensing modality through infrastructure reuse with application in sign language recognition for deaf and hard-of-hearing.
|The major goal of this project is to create high-speed, low-power mmWave IoT devices through backscattering and devise protocols for their seamless integration for mmWave networking and sensing.
|Through this project, we are aiming to develop a novel framework for RF propagation prediction which embeds the environment information (e.g., 3D maps of buildings) directly into the ray tracing process through the use of deep learning.
|The project aims at developing novel, custom-tailored solutions for challenges associated with mmWave networks operating in cyber physical systems such as vehicles, UAVs, and UGVs with high-speed mobility and transcience.