Research Areas

Millimeter wave (mmWave) Networks form the central core of next-generation wireless networking including 5G and 6G cellular networks, 802.11 wireless LANs, and IoT networks. Millimeter wave, however, is fundamentally different from current wireless technologies in that it uses very narrow directional beams and operates at multi-Gbps data rates. As a result, mmWave systems face new (…)

Wireless Imaging for Autonomous SystemsAchieving fully autonomous vehicles requires the ability to operate in severe weather conditions such as dense fog, smog, snowstorms, and sandstorms. Autonomous vehicles, today, mainly use cameras or LiDARs which suffer in low visibility conditions and bad weather. Our work demonstrated the ability to achieve high-resolution wireless 3D imaging and object (…)

The Internet of Bio-Nano Things (IoBNT) promises to revolutionize medicine and healthcare. It consists of biological computing machines such as micro and nano-implants that can collect sensor information inside the human body and coordinate monitoring and treatment. The past decade has witnessed huge leaps towards enabling this vision. Advances in bio-engineering, synthetic biology, and nanotechnology (…)

Microscope Image of MEMS Spike-Train FilterProjects

Prof. Hassanieh developed the Sparse Fourier Transform, a family of sublinear time algorithms for computing the Fourier transform faster than FFT by exploiting the inherent sparsity in real-world signals. The algorithms encompass two main axes: (1) Runtime Complexity: Sparse Fourier Transform algorithms that are faster than FFT and have the lowest runtime complexity known to (…)

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