Abstract Random Lasers (RLs) and Random Fiber Lasers (RFLs) have been the subject of
intense research since their first experimental demonstration in 1994 and 2007, respectively …

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 …

For photonic devices, structural disorder and light scattering have long been considered
annoying and detrimental features that were best avoided or minimized. This review shows …

Light sources with high radiance are increasingly required for full-field real-time imaging.
Conventional lasing sources are poorly suited for such imaging due to their high spatial or …

Nonlinear frequency conversion of wavelength agile and high-power random fiber lasers
can provide a promising way to generate continuous-wave (CW) visible and mid-infrared …

Random fiber laser (RFL) utilizing stimulated Raman scattering and distributed random
Rayleigh backscattering in fiber as optical gain and feedback mechanisms, respectively, has …

In past decades, multi-wavelength lasers have attracted much attention due to their wide
applications in many fields. In this paper, we demonstrate a multi-wavelength random fiber …

Ghost imaging in the time domain has opened up new possibilities to retrieve ultrafast
waveforms. A pre-requisite to ghost imaging in the time domain is a light source with random …

Random lasers have been recently exploited as a photonic platform for studies of complex
systems. This cross-disciplinary approach opened up new important avenues for the …

Nowadays, in fiber optic communications the growing demand in terms of transmission
capacity has been fulfilling the entire spectral band of the erbium-doped fiber amplifiers …