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. |
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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. |
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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. |
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This project is our ongoing efforts on designing a state-of-the-art multiband (sub-6 GHz, FR3, mmWave, and THz) wireless networking and multimodal (mmWave radars, LiDARs, etc.) sensing infrastructure for research and education. These continuous efforts and various phases of the project are supported through NSF and ARL grants. |
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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. |
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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. |
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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. |
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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. |
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