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Author

Rajalakshmi Nandakumar

4 papers indexed here

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mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption

The initial feasibility of end-to-end mmWave sensing under FHE on commodity hardware is established and two cryptographic guarantees for any pipeline assembled from this library are formally proved: input privacy and data obliviousness.

Tanvir Ahmed, Yixuan Gao, A. Armouti et al. · 0 citations
#machine learning Preprint Sep 2026

3D Point Splatting for mmWave Radar Novel View Synthesis

Solving novel view synthesis (NVS) for millimeter-wave (mmWave) radar requires a renderer that is physically faithful, complex-valued, and multi-viewpoint-tractable. No prior method achieves these three properties simultaneously. Differentiable Monte Carlo (MC) ray tracers implement the radar forward model directly wit...

A. Armouti, Yixuan Gao, Rajalakshmi Nandakumar · 0 citations
#machine learning Preprint Aug 2026

mmIR: Frequency-Space Inverse Rendering for 3D Millimeter-Wave Radar ADC Synthesis

High-resolution 3D radar data is scarce. Commodity mmWave sensors use small antenna arrays that limit angular resolution to several degrees, and existing datasets provide only 2D range-azimuth maps or sparse point clouds rather than raw analog-to-digital converter (ADC) signals. Hardware scaling is expensive, synthetic...

A. Armouti, Yixuan Gao, Rajalakshmi Nandakumar · 1 citation

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