In this talk, I will focus on two challenging imaging systems: snapshot compressive imaging and coherent imaging under speckle noise interference. I will begin by reviewing the core mathematical modeling […]
Ferroelectric properties were initially discovered in perovskite-structured materials over a century ago. However, it was only in the last two decades that these properties were confirmed in fluorite-structured doped HfO2 […]
Sliding touch is one of the key inputs for the perception of materials in our environment. We are interested in the contribution of fingertip friction to the process of tactile […]
As artificial intelligence (AI) transforms industries, state-of-the-art models have exploded in size and capability. However, deploying these models on resource-constrained edge devices remains a significant challenge. Smartphones, wearables, and IoT […]
Information is usually expected to propagate across a population of active agents such as living cells or birds in a diffusive manner. Yet waviness in the microstructure of dental enamel […]
For the past fifty years, researchers of semiconductor technology have felt like walking inside a tunnel. There was a single path forward – two-dimensional down-scaling of device sizes, also referred […]
Most of us think of electricity as a clean and reliable source of energy, which flows out of the plug whenever we need it. The reality is far more complex. […]
The solutions to many of society’s most pressing problems rely on the discovery of materials with unprecedented physical and chemical properties that are tailored to an application of interest. Typically, […]
When it comes to security, hardware is the new software. Starting some years ago, this shift was made plain when a litany of attacks, such as "Spectre/Meltdown" and "Rowhammer", shattered […]
Latent variable models have been an integral part of probabilistic machine learning, ranging from simple mixture models to variational autoencoders to powerful diffusion probabilistic models at the center of recent […]
