39 citations · 72 across the 6 of their papers we have counts for
6 papers
Machine Learning Resistant Amorphous Silicon Physically Unclonable Functions (PUFs)
Velat Kilic, Neil Macfarlane, Jasper Stround +5
We investigate usage of nonlinear wave chaotic amorphous silicon (a-Si) cavities as physically unclonable functions (PUF). Machine learning attacks on integrated electronic PUFs ha…
Physics-informed Meta-instrument for eXperiments (PiMiX) with applications to fusion energy
Zhehui Wang, Shanny Lin, Miles Teng-Levy +24
Data-driven methods (DDMs), such as deep neural networks, offer a generic approach to integrated data analysis (IDA), integrated diagnostic-to-control (IDC) workflows through data…
Shack-Hartmann wavefront sensing: A new approach to time-resolved measurement of stress intensity during dynamic fracture of small brittle specimens
Liuchi Li, Velat Kilic, Milad Alemohammad +3
The stress intensity factor is important for understanding crack initiation and propagation. Because it cannot be measured directly, the characterization of the stress intensity fa…
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection
Deepti Hegde, Vishwanath Sindagi, Velat Kilic +3
Pseudo-label based self training approaches are a popular method for source-free unsupervised domain adaptation. However, their efficacy depends on the quality of the labels genera…
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection
Velat Kilic, Deepti Hegde, Vishwanath Sindagi +3
Lidar-based object detectors are critical parts of the 3D perception pipeline in autonomous navigation systems such as self-driving cars. However, they are known to be sensitive to…
Time-lens Photon Doppler Velocimetry (TL-PDV)
Pinghan Chu, Velat Kilic, Mark A. Foster +1
We describe a time lens to expand the dynamic range of photon Doppler velocimetry (PDV) systems. The principle and preliminary design of a time-lens PDV (TL-PDV) are explained and…