18 citations · 18 across the 4 of their papers we have counts for
6 papers
A Diffusion-Model Subpopulation Digital Twin for Mobile Health Deployment: A Case Study on the HeartSteps Intervention
Ziping Xu, Yuyi Chang, Chenshun Ni +5
Mobile-health interventions increasingly use online learning and decision making algorithms to personalize when to nudge users toward healthier behavior, but a poorly designed algo…
Neural Implicit Representations for 3D Synthetic Aperture Radar Imaging
Nithin Sugavanam, Emre Ertin
Synthetic aperture radar (SAR) is a tomographic sensor that measures 2D slices of the 3D spatial Fourier transform of the scene. In many operational scenarios, the measured set of…
Designing a Secure and Resilient Distributed Smartphone Participant Data Collection System
Foad Namjoo, Neng Wan, Devan Mallory +6
Real-world health studies require continuous and secure data collection from mobile and wearable devices. We introduce MotionPI, a smartphone-based system designed to collect behav…
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution
Tushar Agarwal, Nithin Sugavanam, Emre Ertin
Generative models learned from training using deep learning methods can be used as priors in inverse under-determined inverse problems, including imaging from sparse set of measure…
High Resolution Radar Sensing with Compressive Illumination
Nithin Sugavanam, Siddharth Baskar, Emre Ertin
We present a compressive radar design that combines multitone linear frequency modulated (LFM) waveforms in the transmitter with a classical stretch processor and sub-Nyquist sampl…
Sparse Signal Models for Data Augmentation in Deep Learning ATR
Tushar Agarwal, Nithin Sugavanam, Emre Ertin
Automatic Target Recognition (ATR) algorithms classify a given Synthetic Aperture Radar (SAR) image into one of the known target classes using a set of training images available fo…