Light transport in a highly multimode fiber exhibits complex behavior in space, time,
frequency, and polarization, especially in the presence of mode coupling. The newly …

Recent years have seen the rapid growth and development of the field of smart photonics,
where machine-learning algorithms are being matched to optical systems to add new …

Linear multimode optical systems have enabled clean experimental observations and the
applications of numerous phenomena that continually extend the boundaries of wave …

The last decade has seen the development of a wide set of tools, such as wavefront
sha**, computational or fundamental methods, that allow us to understand and control …

Optical techniques offer a wide variety of applications as light-matter interactions provide
extremely sensitive mechanisms to probe or treat target media. Most of these …

In recent years, machine learning, especially various deep neural networks, as an emerging
technique for data analysis and processing, has brought novel insights into the development …

The propagation of ultrashort pulses in optical fibre plays a central role in the development
of light sources and photonic technologies, with applications from fundamental studies of …

Today's heavy machine learning tasks are fueled by large datasets. Computing is performed
with power-hungry processors whose performance is ultimately limited by the data transfer …

Multimode fibers (MMFs) have the potential to carry complex images for endoscopy and
related applications, but decoding the complex speckle patterns produced by mode-mixing …

The output of physical systems, such as the scrambled pattern formed by shining the spot of
a laser pointer through fog, is often easily accessible by direct measurements. However …